diff --git a/.gitattributes b/.gitattributes index a6344aac8c09253b3b630fb776ae94478aa0275b..2aa12153dc0e484628c43fcc4ff4fcd73f3e21b5 100644 --- a/.gitattributes +++ b/.gitattributes @@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.zip filter=lfs diff=lfs merge=lfs -text *.zst filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text +ai-medical-chatbot-master/3-Modeling/tools/data/fine_food_reviews_with_embeddings_1k.csv filter=lfs diff=lfs merge=lfs -text +ai-medical-chatbot-master/assets/2024-05-16-09-23-02.png filter=lfs diff=lfs merge=lfs -text diff --git a/ai-medical-chatbot-master/.gitignore b/ai-medical-chatbot-master/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..3041779665919ad5e2802c1f86ded5ee588cc7ad --- /dev/null +++ b/ai-medical-chatbot-master/.gitignore @@ -0,0 +1,180 @@ +#My env +my_venv/ + +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ +myvenv +.myvenv +myvenv/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ +2-Data/Medical-Dialogue-System/*.txt +2-Data/data/*.txt +2-Data/*.txt +2-Data/data/ +2-Data/dialogues.csv +2-Data/dialogues_embededd.pkl +3-Modeling/credentials/api.json +2-Data/knowledge_base/ +3-Modeling/credentials/api.json +3-Modeling/credentials/api.json +2-Data/dialogues_embededd.pkl +*.json +3-Modeling/credentials/api.json +3-Modeling/credentials/api.json diff --git a/ai-medical-chatbot-master/1-Environment/README.md b/ai-medical-chatbot-master/1-Environment/README.md new file mode 100644 index 0000000000000000000000000000000000000000..0824089f13b35d3375df6cd6393e5b38902d2c95 --- /dev/null +++ b/ai-medical-chatbot-master/1-Environment/README.md @@ -0,0 +1,215 @@ +# Part 1 - Environment creation + +[back](../README.md) + +## Step 1: Install and Run Jupyter Lab locally + +First we need to install python in our computer , in this demo I will use Python **3.10.11** + +[https://www.python.org/ftp/python/3.10.11/python-3.10.11-amd64.exe](https://www.python.org/ftp/python/3.10.11/python-3.10.11-amd64.exe) + +During the installation I should suggest add **python.exe to PATH** and **install Now** + +![image-20230816174152851](assets/images/posts/README/image-20230816174152851.png) + + + +With Python already installed, you should have pip already installed. Be sure to use a pip that corresponds with Python 3 by using pip3 or checking your pip executable with "pip --version". + +## Step 2: Create a Python virtual environment + +A Python virtual environment allows one to use different versions of Python as well as isolate dependencies between projects. If you've never had several repos on your machine at once, you may never have felt this need but it's a good, Pythonic choice nonetheless. Future you will thank us both! + + Let us create a folder called gpt and there we will store our virtual environment. + +``` +mkdir gpt +cd gpt +``` + +![](assets/images/posts/README/pic1.png) + +Supposed that you have a different version of Python installed in your system. To check use the following command to check: + +``` +py --list +``` + +![image-20230816174847928](assets/images/posts/README/image-20230816174847928.png) + + + +And you want to create a new virtual environment for python 3.10 on a 'test_env' directory. Run the following command: + +```py + py -3.10 -m venv my_venv +``` + +You'll notice a new directory in your current working directory with the same name as your virtual environment. + +Activate the virtual environment. + +Windows:  + +``` +cd C:\gpt +my_venv\Scripts\activate.bat +``` + +![image-20230816142302397](assets/images/posts/README/image-20230816142302397.png) + +All other OSs: source + +``` +./my_venv/bin/activate +``` + +When the virtual environment is activated, your command prompt should change in some way, indicating the name of the virtual environment. This is how you'll know it's active. You can further verify this by executing "which pip" or "which python" to see that both binaries are located inside you virtual environment directory. + +A virtual environment is only activate in your current terminal session. There is no need to deactivate it before closing your terminal. + +However, if you need to deactivate it you can do so by executing "deactivate", a script that only exists when a virtual environment is activated. + +Note: Be sure to deactivate a virtual environment before deleting its directory. + +### Step 3: Create a Jupyter Kernel from Inside your Virtual Environment + + We are goigng to install **Jupyter Lab.** + +Let us open our command prompt and type + +``` +python.exe -m pip install --upgrade pip +``` + +``` +pip install jupyterlab +``` + +For more information visit the official [Jupyter Lab](https://jupyterlab.readthedocs.io/en/stable/getting_started/installation.html#pip) site. + +A Jupyter "kernel" is simply a reference to a particular Python interpreter instance. You can create a kernel from any Python interpreter on your machine, including those inside of virtual environments and then choose it as your kernel for any notebook. In this way, you can customize the environments of different notebooks benefiting from the same isolation virtual environments offer during normal development. + +Once we are in our environment we proceed to install ipykernel + +``` +pip install ipykernel +``` + +![image-20230816142214762](assets/images/posts/README/image-20230816142214762.png) + +then + +``` +python -m ipykernel install --user --name gpt --display-name "Python3 (GPT)" +``` + +![image-20230816142143733](assets/images/posts/README/image-20230816142143733.png) + +With your virtual environment created and the ability to run a Jupyter Notebook in that environment. + + +## Install and import the dependecies + + +You can copy the following code block and paste it on your terminal where you are in your enviroment. + +``` +pip install datasets +pip install scikit-learn +pip install chromadb==0.3.27 +pip install sentence_transformers +pip install pandas +pip install rouge_score +pip install nltk +pip install "ibm-watson-machine-learning>=1.0.312" +pip install ipywidgets widgetsnbextension pandas-profiling +pip install mlxtend +pip install sentence-transformers +pip install tiktoken +pip install openai +``` + +![](assets/images/posts/README/20230818155817.png) + +If we are in Linux we can add the followig condition after each line `| tail -n 1` to surpress logs. + +If we have a computer with GPUs we can install p + +``` +pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113 + +``` + + + +Before run the notebook, we require load our IBM cloud services. + + +# Step 5 - Login to IBM cloud + +![image-20230816150806209](assets/images/posts/README/image-20230816150806209.png) + +after you have logged, create a WatsonX instance + +[https://www.ibm.com/watsonx](https://www.ibm.com/watsonx) + +![image-20230816151655086](assets/images/posts/README/image-20230816151655086.png) + +Then open a simple Prompt Lab + +![image-20230816152021052](assets/images/posts/README/image-20230816152021052.png) + + + +Then click **View Code** and then click on **Create personal API key** + +![image-20230816152242011](assets/images/posts/README/image-20230816152242011.png) + +then we create our custom GPT API, I call it gpt and I give an small description + + +![image-20230816152342540](assets/images/posts/README/image-20230816152342540.png) + +I copy the API key for future use + +![image-20230816152433678](assets/images/posts/README/image-20230816152433678.png) + + + +## Creation of shortcuts +Once we have created our enviroments we need to load it during the the Stages: +2-Data creation +3-Modeling + +For windows let us create .bat file called env.bat +``` +C:\gpt\my_venv\Scripts\activate + +``` +then to load you simply type +``` + +enb.bat +``` + + +For unix systems create .sh file called env.sh +``` +gpt/my_venv/bin/activate +``` +you type +``` +sh env.sh +``` + +then type +``` +jupyter lab + +``` + +![image-20230820225439403](assets/images/posts/README/image-20230820225439403.png) + +Now we are ready to start working. 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--git a/ai-medical-chatbot-master/1-Environment/assets/images/posts/README/pic1.png b/ai-medical-chatbot-master/1-Environment/assets/images/posts/README/pic1.png new file mode 100644 index 0000000000000000000000000000000000000000..ca13bf6faedce7ca8c5f99d395b33ccadcb61563 Binary files /dev/null and b/ai-medical-chatbot-master/1-Environment/assets/images/posts/README/pic1.png differ diff --git a/ai-medical-chatbot-master/2-Data/2-Data.ipynb b/ai-medical-chatbot-master/2-Data/2-Data.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..fed7e04c82da55286f1cd39175a55af5d0bf362d --- /dev/null +++ b/ai-medical-chatbot-master/2-Data/2-Data.ipynb @@ -0,0 +1,1604 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d086c9ff-22b8-4e97-8572-808c48096136", + "metadata": {}, + "source": [ + "# Part 2 - Data Creation for Free Doctor" + ] + }, + { + "cell_type": "markdown", + "id": "4ad4b91a-2cdb-4361-b1a8-5f4e6cd1ce6d", + "metadata": {}, + "source": [ + "In this section we are going to create the dataset, we are going to download the raw data and clean and create a data frame." + ] + }, + { + "cell_type": "markdown", + "id": "a5ac32e1-c7bc-4897-a51e-5724c4b31425", + "metadata": {}, + "source": [ + "First, let us download the online datasets to work" + ] + }, + { + "cell_type": "markdown", + "id": "203aa753-7fb3-4598-ab99-576e4ac471ca", + "metadata": {}, + "source": [ + "The MedDialog dataset (English) contains conversations (in English) between doctors and patients. It has 0.26 million dialogues. The data is continuously growing and more dialogues will be added. The raw dialogues are from healthcaremagic.com and icliniq.com. All copyrights of the data belong to healthcaremagic.com and icliniq.com." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "05371826-f8bc-45c5-88db-ebd87c7a84d4", + "metadata": {}, + "outputs": [], + "source": [ + "#!pip install pathlib" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "8610028a-9fe1-4ec1-a1e7-5bb40533ac32", + "metadata": {}, + "outputs": [], + "source": [ + "import gdown" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "f0bd7bd0-1974-43e9-baa3-e2e55cb9c21d", + "metadata": {}, + "outputs": [], + "source": [ + "url=\"https://drive.google.com/drive/folders/1-5mQW2gNj_kcBobllL9EpbJcUcT5aFpE?usp=sharing\"" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "2e0b364b-eb38-4e45-ba4e-6ec21708c857", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['C:\\\\Users\\\\rusla\\\\Dropbox\\\\23-GITHUB\\\\Projects\\\\Free-Doctor-with-Artificial-Intelligence\\\\2-Data\\\\Medical-Dialogue-System\\\\dialogue_0.txt',\n", + " 'C:\\\\Users\\\\rusla\\\\Dropbox\\\\23-GITHUB\\\\Projects\\\\Free-Doctor-with-Artificial-Intelligence\\\\2-Data\\\\Medical-Dialogue-System\\\\dialogue_1.txt',\n", + " 'C:\\\\Users\\\\rusla\\\\Dropbox\\\\23-GITHUB\\\\Projects\\\\Free-Doctor-with-Artificial-Intelligence\\\\2-Data\\\\Medical-Dialogue-System\\\\dialogue_2.txt',\n", + " 'C:\\\\Users\\\\rusla\\\\Dropbox\\\\23-GITHUB\\\\Projects\\\\Free-Doctor-with-Artificial-Intelligence\\\\2-Data\\\\Medical-Dialogue-System\\\\dialogue_3.txt',\n", + " 'C:\\\\Users\\\\rusla\\\\Dropbox\\\\23-GITHUB\\\\Projects\\\\Free-Doctor-with-Artificial-Intelligence\\\\2-Data\\\\Medical-Dialogue-System\\\\dialogue_4.txt']" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gdown.download_folder(url, quiet=True, use_cookies=False)" + ] + }, + { + "cell_type": "markdown", + "id": "bc9ef2a2-9398-470d-a85f-86df74f7ceaf", + "metadata": {}, + "source": [ + "There are 5 raw dialogs that we are going to process to create the dataset to work." + ] + }, + { + "cell_type": "markdown", + "id": "7dcea4e3-2b6c-4d92-97d6-9c0b4fad5388", + "metadata": {}, + "source": [ + "We are going to create a Dataset with the following schema:\n", + "\n", + "- Description\t - String\n", + "- Patient - String\t\n", + "- Doctor - String\t\n", + "\n", + "The conversion of text to json.\n", + "Then we will create the pandas dataframes" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "baaef232-7a75-454c-bf55-b8d4bdbef1ec", + "metadata": {}, + "outputs": [], + "source": [ + "#importing modules\n", + "import os\n", + "from pathlib import Path\n", + "import pandas as pd\n", + "import json\n", + "import re\n", + "import json" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "0d2678a8-dd10-4489-a0a6-684c5ddc2968", + "metadata": {}, + "outputs": [], + "source": [ + "from tqdm import tqdm\n", + "from tools import timer\n", + "t = timer.Timer()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ee7b90d5-0372-4e73-96ee-ed53bc02f1bd", + "metadata": {}, + "outputs": [], + "source": [ + "def split_content(filename):\n", + " '''\n", + " filename: The filename must be txt format and stored in the \n", + " ./2-Data/Medical-Dialogue-System/ folder\n", + " res: The output is the list of all dialogues separated in each file.\n", + " '''\n", + " #to get the current working directory\n", + " path = os.getcwd()\n", + " file = os.path.join(path, \"Medical-Dialogue-System\", filename)\n", + " subdirectory=filename.replace(\".txt\",\"\")\n", + " #creating a new directory called data\n", + " out_dir=os.path.join(path, \"data\",subdirectory)\n", + " Path(out_dir).mkdir(parents=True, exist_ok=True)\n", + " out_n = 0\n", + " done = False\n", + " try: \n", + " with open(file, encoding=\"utf-8\") as in_file:\n", + " while not done: #loop over output file names\n", + " # Join various path components\n", + " name=f\"out{out_n}.txt\"\n", + " file_tmp=os.path.join(path, \"data\", subdirectory, name)\n", + " #print(file_tmp)\n", + " with open(file_tmp, \"w\", encoding=\"utf-8\") as out_file: #generate an output file name\n", + " while not done: #loop over lines in the input file and write to the output file\n", + " try:\n", + " line = next(in_file).strip() #strip whitespace for consistency\n", + " except StopIteration:\n", + " done = True\n", + " break\n", + " if \"id=\" in line: #more robust than 'if line == \"SPLIT\\n\":'\n", + " break\n", + " else:\n", + " out_file.write(line + '\\n') #must add back in newline because we stripped it out earlier \n", + " out_n += 1 #increment output file name integer\n", + " \n", + " except Exception as error:\n", + " print(\"An error occurred to open dialog:\", error) # An error occurred: name 'x' is not defined\n", + " from os import walk\n", + " # folder path\n", + " dir_path = out_dir\n", + " # List to store files name\n", + " res = []\n", + " for (dir_path, dir_names, file_names) in walk(dir_path):\n", + " res.extend(file_names)\n", + " #print(res)\n", + " return res" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "f13e8e5d-769c-4281-813d-1d6e62d6f9ed", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "def findword(str, word):\n", + " m = re.search(word, str)\n", + " return m" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "5dd0de51-8ea1-45e9-a004-0f823a86e9b2", + "metadata": {}, + "outputs": [], + "source": [ + "def create_dataframe(text_as_string,name_partial):\n", + " string = re.sub('http://\\S+|https://\\S+', '', text_as_string)\n", + " keywords = {'Description', 'Dialogue', 'Patient:', 'Doctor:'}\n", + " text=re.split(r'\\n(?=Description|Dialogue|Patient|Doctor)' , string)\n", + " updated_dic ={}\n", + " for str in text: \n", + " for word in keywords:\n", + " #print(\"Looking for {}\".format(word))\n", + " res = findword(str,word)\n", + " if res is None:\n", + " log=\"Word not found!!\"\n", + " #print(log)\n", + " else:\n", + " #print(\"Search Success!!\")\n", + " # Python program to convert text\n", + " # file to JSON\n", + " # The file to be converted to\n", + " # json format\n", + " lines = str\n", + " # dictionary where the lines from\n", + " # text will be stored\n", + " parsed_dict = {}\n", + " # reads each line and trims of extra the spaces\n", + " # and gives only the valid words\n", + " #print(\"Analyzing text:\",lines)\n", + " try:\n", + " command, content = lines.strip().split(None, 1) \t \t\n", + " command=command.replace(\":\",\"\") \n", + " content=content.strip()\n", + " content=content.replace(\"\\n\", \" \")\n", + " parsed_dict[command] = content\n", + " updated_dic.update(parsed_dict)\n", + " \n", + " except:\n", + " #print(\"No recurrence found\")\n", + " pass\n", + " #print(\"The output dataframe is:\")\n", + " df = pd.DataFrame(updated_dic, index = [name_partial])\n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "7a95d607-d1e7-4e4e-91a6-ec6fc45d4be0", + "metadata": {}, + "outputs": [], + "source": [ + "def create(filename):\n", + " '''\n", + " filename: The filename must be txt format and stored in the \n", + " ./2-Data/Medical-Dialogue-System/ folder\n", + " df: The output is a dataframe\n", + " '''\n", + " #to get the current working directory\n", + " path = os.getcwd()\n", + " res=split_content(filename)\n", + " # create an Empty DataFrame object\n", + " df = pd.DataFrame()\n", + " for partial in res:\n", + " name_partial=partial\n", + " subdirectory=filename.replace(\".txt\",\"\")\n", + " file_partial=os.path.join(path, \"data\", subdirectory,name_partial)\n", + " text_as_string = open(file_partial, encoding=\"utf-8\").read()\n", + " #print(partial)\n", + " df_partial=create_dataframe(text_as_string,name_partial)\n", + " # A continuous index value will be maintained\n", + " # across the rows in the new appended data frame.\n", + " frames = [df, df_partial]\n", + " df = pd.concat(frames)\n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "2beb7bea-abfa-4f4f-a4ff-bfe056d5c580", + "metadata": {}, + "outputs": [], + "source": [ + "def create_csv(filename):\n", + " print(\"Creating dataframe ...\")\n", + " dfa=create(filename)\n", + " dfa=dfa.reset_index(names=\"Filename\")\n", + " file_name=filename.replace(\".txt\",\".csv\")\n", + " path = os.getcwd()\n", + " out_dir=os.path.join(path, \"data\", \"csv\")\n", + " out_file=os.path.join(out_dir,file_name)\n", + " Path(out_dir).mkdir(parents=True, exist_ok=True)\n", + " dfa.to_csv(out_file, sep='\\t', encoding='utf-8', index=False)\n", + " df = pd.read_csv(out_file, sep = '\\t')\n", + " print(\"File created: \",out_file)\n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "28194608-e120-46d3-88ac-69d7b00a22aa", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating dataframe ...\n", + "File created: C:\\Users\\rusla\\Dropbox\\23-GITHUB\\Projects\\Free-Doctor-with-Artificial-Intelligence\\2-Data\\data\\csv\\test.csv\n" + ] + }, + { + "data": { + "text/html": [ + "
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DescriptionPatientDoctor
1Q. What does abutment of the nerve root mean?Hi doctor,I am just wondering what is abutting...Hi. I have gone through your query with dilige...
2Q. What should I do to reduce my weight gained...Hi doctor, I am a 22-year-old female who was d...Hi. You have really done well with the hypothy...
3Q. I have started to get lots of acne on my fa...Hi doctor! I used to have clear skin but since...Hi there Acne has multifactorial etiology. Onl...
5Q. Why do I have uncomfortable feeling between...Hello doctor,I am having an uncomfortable feel...Hello. The popping and discomfort what you fel...
6Q. My symptoms after intercourse threatns me e...Hello doctor,Before two years had sex with a c...Hello. The HIV test uses a finger prick blood ...
............
257487Why is hair fall increasing while using Bontre...I am suffering from excessive hairfall. My doc...Hello Dear Thanks for writing to us, we are he...
257488Why was I asked to discontinue Androanagen whi...Hi Doctor, I have been having severe hair fall...hello, hair4u is combination of minoxid...
257489Can Mintop 5% Lotion be used by women for seve...Hi..i hav sever hair loss problem so consulted...HI I have evaluated your query thoroughly you...
257490Is Minoxin 5% lotion advisable instead of Foli...Hi, i am 25 year old girl, i am having massive...Hello and Welcome to ‘Ask A Doctor’ service.I ...
257491Are Biotin supplements need to reduce severe h...iam having hairfall for a decade.. but fews we...you did'nt mention about thyroid problem ...us...
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I used to have clear skin but since... \n", + "5 Hello doctor,I am having an uncomfortable feel... \n", + "6 Hello doctor,Before two years had sex with a c... \n", + "... ... \n", + "257487 I am suffering from excessive hairfall. My doc... \n", + "257488 Hi Doctor, I have been having severe hair fall... \n", + "257489 Hi..i hav sever hair loss problem so consulted... \n", + "257490 Hi, i am 25 year old girl, i am having massive... \n", + "257491 iam having hairfall for a decade.. but fews we... \n", + "\n", + " Doctor \n", + "1 Hi. I have gone through your query with dilige... \n", + "2 Hi. You have really done well with the hypothy... \n", + "3 Hi there Acne has multifactorial etiology. Onl... \n", + "5 Hello. The popping and discomfort what you fel... \n", + "6 Hello. The HIV test uses a finger prick blood ... \n", + "... ... \n", + "257487 Hello Dear Thanks for writing to us, we are he... \n", + "257488 hello, hair4u is combination of minoxid... \n", + "257489 HI I have evaluated your query thoroughly you... \n", + "257490 Hello and Welcome to ‘Ask A Doctor’ service.I ... \n", + "257491 you did'nt mention about thyroid problem ...us... \n", + "\n", + "[256916 rows x 3 columns]" + ] + }, + "execution_count": 116, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "not_null_rows" + ] + }, + { + "cell_type": "markdown", + "id": "4e889c22-15b1-4844-954b-6d4c87714c77", + "metadata": {}, + "source": [ + "We save the not null data to go to the third step that is modeling" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "7876de11-29c1-49ca-a999-8ba565db8da7", + "metadata": {}, + "outputs": [], + "source": [ + "not_null_rows.to_csv(\"dialogues.csv\", sep='\\t', encoding='utf-8', index=False)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python3 (GPT)", + "language": "python", + "name": "gpt" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ai-medical-chatbot-master/2-Data/3-Compression.ipynb b/ai-medical-chatbot-master/2-Data/3-Compression.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..ecc15c07f60d3375d057b62821dc313447403655 --- /dev/null +++ b/ai-medical-chatbot-master/2-Data/3-Compression.ipynb @@ -0,0 +1,313 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "818b53f6-ce03-41ae-8318-ab53be1d8916", + "metadata": {}, + "source": [ + "# Conversion of the Latest Dataframe to Parquet\n", + "\n", + "We need to store our dataset in a warehouse so we use parquet" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "1c4a0c5a-ea47-4a91-a0de-de46b70fe9b0", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import pyarrow as pa\n", + "import pyarrow.parquet as pq\n", + "\n", + "# Load the Pandas DataFrame\n", + "df = pd.read_csv('dialogues.csv', sep='\\t', encoding='utf-8')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "d802024b-461f-4853-9e7c-229581a11836", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DataFrame saved to Parquet file: ./data/parquet/dialogues.parquet\n" + ] + } + ], + "source": [ + "# Convert Pandas DataFrame to Arrow Table\n", + "table = pa.Table.from_pandas(df)\n", + "# Specify the output file path for the Parquet file\n", + "parquet_file_path = './data/parquet/dialogues.parquet'\n", + "\n", + "# Write the Arrow Table to a Parquet file\n", + "pq.write_table(table, parquet_file_path)\n", + "\n", + "print(f'DataFrame saved to Parquet file: {parquet_file_path}')" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "78704d3a-a812-4f20-8103-357575211b1e", + "metadata": {}, + "outputs": [], + "source": [ + "# Read Parquet file into Arrow Table\n", + "table = pq.read_table(parquet_file_path)\n", + "\n", + "# Convert Arrow Table to Pandas DataFrame\n", + "df = table.to_pandas()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "87fb4487-e633-497d-b490-f39a61ef3bbc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DescriptionPatientDoctor
0Q. What does abutment of the nerve root mean?Hi doctor,I am just wondering what is abutting...Hi. I have gone through your query with dilige...
1Q. What should I do to reduce my weight gained...Hi doctor, I am a 22-year-old female who was d...Hi. You have really done well with the hypothy...
2Q. I have started to get lots of acne on my fa...Hi doctor! I used to have clear skin but since...Hi there Acne has multifactorial etiology. Onl...
3Q. Why do I have uncomfortable feeling between...Hello doctor,I am having an uncomfortable feel...Hello. The popping and discomfort what you fel...
4Q. My symptoms after intercourse threatns me e...Hello doctor,Before two years had sex with a c...Hello. The HIV test uses a finger prick blood ...
\n", + "
" + ], + "text/plain": [ + " Description \\\n", + "0 Q. What does abutment of the nerve root mean? \n", + "1 Q. What should I do to reduce my weight gained... \n", + "2 Q. I have started to get lots of acne on my fa... \n", + "3 Q. Why do I have uncomfortable feeling between... \n", + "4 Q. My symptoms after intercourse threatns me e... \n", + "\n", + " Patient \\\n", + "0 Hi doctor,I am just wondering what is abutting... \n", + "1 Hi doctor, I am a 22-year-old female who was d... \n", + "2 Hi doctor! I used to have clear skin but since... \n", + "3 Hello doctor,I am having an uncomfortable feel... \n", + "4 Hello doctor,Before two years had sex with a c... \n", + "\n", + " Doctor \n", + "0 Hi. I have gone through your query with dilige... \n", + "1 Hi. You have really done well with the hypothy... \n", + "2 Hi there Acne has multifactorial etiology. Onl... \n", + "3 Hello. The popping and discomfort what you fel... \n", + "4 Hello. The HIV test uses a finger prick blood ... " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "42910cf2-5834-4e82-a047-cb0cd69d88cb", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import pyarrow.parquet as pq\n", + "\n", + "def generate_hf_metadata(parquet_file_path, dataset_name, split_name='train', split_path_pattern='data/train-*'):\n", + " # Read Parquet file into Arrow Table\n", + " table = pq.read_table(parquet_file_path)\n", + "\n", + " # Convert Arrow Table to Pandas DataFrame\n", + " df = table.to_pandas()\n", + "\n", + " # Get information about the dataset\n", + " num_bytes = os.path.getsize(parquet_file_path)\n", + " num_examples = len(df)\n", + "\n", + " # Create metadata dictionary without the 'metadata' key\n", + " metadata = {\n", + " 'configs': [\n", + " {\n", + " 'config_name': 'default',\n", + " 'data_files': [\n", + " {\n", + " 'split': split_name,\n", + " 'path': split_path_pattern\n", + " }\n", + " ]\n", + " }\n", + " ],\n", + " 'dataset_info': {\n", + " 'features': [{'name': col, 'dtype': str(df[col].dtype)} for col in df.columns],\n", + " 'splits': [\n", + " {\n", + " 'name': split_name,\n", + " 'num_bytes': num_bytes,\n", + " 'num_examples': num_examples\n", + " }\n", + " ],\n", + " 'download_size': num_bytes,\n", + " 'dataset_size': num_bytes\n", + " }\n", + " }\n", + "\n", + " # Save metadata to a YAML file\n", + " metadata_file_path = f'{dataset_name}_metadata.yaml'\n", + " with open(metadata_file_path, 'w') as metadata_file:\n", + " metadata_file.write(str(metadata))\n", + "\n", + " print(f'Metadata file saved at: {metadata_file_path}')\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "5a3b5921-5ec5-46f6-980d-15135fab3765", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Metadata file saved at: dialogues_metadata.yaml\n" + ] + } + ], + "source": [ + "# Example usage\n", + "parquet_file_path = './data/parquet/dialogues.parquet'\n", + "dataset_name = 'dialogues'\n", + "generate_hf_metadata(parquet_file_path, dataset_name)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "8339b4a1-2c02-427e-8069-f3ad24d7f118", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Markdown file saved at: dialogues_dataset_card.md\n" + ] + } + ], + "source": [ + "import yaml\n", + "\n", + "def generate_markdown_from_metadata(yaml_file_path, dataset_name, dataset_card_path):\n", + " # Load metadata from YAML file\n", + " with open(yaml_file_path, 'r') as yaml_file:\n", + " metadata = yaml.load(yaml_file, Loader=yaml.FullLoader)\n", + "\n", + " # Generate Markdown content\n", + " markdown_content = f\"---\\n{yaml.dump(metadata)}\\n---\\n# Dataset Card for \\\"{dataset_name}\\\"\\n\\n[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)\"\n", + "\n", + " # Save Markdown content to file\n", + " with open(dataset_card_path, 'w') as md_file:\n", + " md_file.write(markdown_content)\n", + "\n", + " print(f'Markdown file saved at: {dataset_card_path}')\n", + "\n", + "# Example usage\n", + "yaml_file_path = 'dialogues_metadata.yaml'\n", + "dataset_name = 'dialogues'\n", + "dataset_card_path = 'dialogues_dataset_card.md'\n", + "generate_markdown_from_metadata(yaml_file_path, dataset_name, dataset_card_path)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0d4bb2ab-ab43-4386-b9cb-d3c4c1fa06c7", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python (textgen)", + "language": "python", + "name": "texgen" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ai-medical-chatbot-master/2-Data/README.md b/ai-medical-chatbot-master/2-Data/README.md new file mode 100644 index 0000000000000000000000000000000000000000..2f76305c88d61d5a0c2cbc02543b870caeeae5cb --- /dev/null +++ b/ai-medical-chatbot-master/2-Data/README.md @@ -0,0 +1,47 @@ +# Part 2 - Creation of the Medical Dataset + +[back](../README.md) + +In this part we are going to build the Datasets that will be used create the **Medical Model** + +Once we have created our enviorment in the part 1. We will create our Dataset to create our model. + +``` +jupyter lab +``` + +![image-20230820225439403](../1-Environment/assets/images/posts/README/image-20230820225439403.png) + +Let us go the the second folder called 2-data. + +There we load the **2-Data.ipynb** notebook + +![image-20230824182144129](assets/images/posts/README/image-20230824182144129.png) + +This notebook will create the dataframes in csv format for each document that are int he folder Medical-Dialogue-System + +``` +C:. + +├───data +│ ├───csv +│ ├───dialogue_0 +│ ├───dialogue_1 +│ ├───dialogue_2 +│ ├───dialogue_3 +│ ├───dialogue_4 +│ +├───Medical-Dialogue-System +└───tools + +``` + +and saved in the ./data./csv/ + +Then those csv will be cleaned and merged into single file called `dialogues.csv` + +![image-20230824232800691](assets/images/posts/README/image-20230824232800691.png) + +This csv has 256916 dialogues between a Patient and Doctor. + +In the following part we are going to build the model. [3-Modeling](../3-Modeling/README.md) diff --git a/ai-medical-chatbot-master/2-Data/__init__.py b/ai-medical-chatbot-master/2-Data/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/ai-medical-chatbot-master/2-Data/assets/images/posts/README/image-20230824182144129.png b/ai-medical-chatbot-master/2-Data/assets/images/posts/README/image-20230824182144129.png new file mode 100644 index 0000000000000000000000000000000000000000..cae961d578d8289d36eb1c7fbe70e51fcb1de9c6 Binary files /dev/null and b/ai-medical-chatbot-master/2-Data/assets/images/posts/README/image-20230824182144129.png differ diff --git a/ai-medical-chatbot-master/2-Data/assets/images/posts/README/image-20230824232800691.png b/ai-medical-chatbot-master/2-Data/assets/images/posts/README/image-20230824232800691.png new file mode 100644 index 0000000000000000000000000000000000000000..9421c5b8c8ebb89726e415b838905a019327febe Binary files /dev/null and b/ai-medical-chatbot-master/2-Data/assets/images/posts/README/image-20230824232800691.png differ diff --git a/ai-medical-chatbot-master/2-Data/dialogues_dataset_card.md b/ai-medical-chatbot-master/2-Data/dialogues_dataset_card.md new file mode 100644 index 0000000000000000000000000000000000000000..32d67ad04dee2c49f4ec617c9a18047fdd0cc24a --- /dev/null +++ b/ai-medical-chatbot-master/2-Data/dialogues_dataset_card.md @@ -0,0 +1,25 @@ +--- +configs: +- config_name: default + data_files: + - path: data/train-* + split: train +dataset_info: + dataset_size: 141665910 + download_size: 141665910 + features: + - dtype: object + name: Description + - dtype: object + name: Patient + - dtype: object + name: Doctor + splits: + - name: train + num_bytes: 141665910 + num_examples: 256916 + +--- +# Dataset Card for "dialogues" + +[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) \ No newline at end of file diff --git a/ai-medical-chatbot-master/2-Data/dialogues_embededd.pkl b/ai-medical-chatbot-master/2-Data/dialogues_embededd.pkl new file mode 100644 index 0000000000000000000000000000000000000000..6d0c36db08c0e8bfc3e9767178ae4615ff346caf --- /dev/null +++ b/ai-medical-chatbot-master/2-Data/dialogues_embededd.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:86e1de897ce1444be832e8f6ad7a810d7619a05d80e577458d077e332c6be4e6 +size 3455946 diff --git a/ai-medical-chatbot-master/2-Data/dialogues_metadata.yaml b/ai-medical-chatbot-master/2-Data/dialogues_metadata.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c3c32addb00a4bb4a4db940b47977cff079547f3 --- /dev/null +++ b/ai-medical-chatbot-master/2-Data/dialogues_metadata.yaml @@ -0,0 +1 @@ +{'configs': [{'config_name': 'default', 'data_files': [{'split': 'train', 'path': 'data/train-*'}]}], 'dataset_info': {'features': [{'name': 'Description', 'dtype': 'object'}, {'name': 'Patient', 'dtype': 'object'}, {'name': 'Doctor', 'dtype': 'object'}], 'splits': [{'name': 'train', 'num_bytes': 141665910, 'num_examples': 256916}], 'download_size': 141665910, 'dataset_size': 141665910}} \ No newline at end of file diff --git a/ai-medical-chatbot-master/2-Data/tools/Notes.txt b/ai-medical-chatbot-master/2-Data/tools/Notes.txt new file mode 100644 index 0000000000000000000000000000000000000000..2ad1cb7049be83fc83039acd84ee93847d23cc1e --- /dev/null +++ b/ai-medical-chatbot-master/2-Data/tools/Notes.txt @@ -0,0 +1,243 @@ +The standard procedure for a Doctor is: +1) Generation of the general clinic history. ( With Anamnesis.) + +2) Classification of the health problem. +Depening of the classification of the medicine area. +We can go deeply with an additional custom clinic history. + + +3)Given the whole description of each patient we should include +the description of the patient, what is asking for. + +4)Depending of the situation of the patient with all information individual collected +it is possible give medical diagnosis for a general case. + +5)If is needed we can go futher for the special case and +repeat the step 4) + + + + + + + +[Patient Information] +- Full Name: [Patient's Full Name] +- Date of Birth: [Patient's Date of Birth] +- Gender: [Patient's Gender] +- Address: [Patient's Address] +- Phone Number: [Patient's Contact Number] + +[Chief Complaint] +- [Description of the patient's main reason for seeking medical attention] + +[Present Illness] +- [Detailed description of the current illness or symptoms, including their onset, duration, severity, and any relevant factors] + +[Medical History] +- Past Medical Conditions: + - [List any significant medical conditions the patient has had, including dates of diagnosis] +- Surgeries/Procedures: + - [List any surgeries or medical procedures the patient has undergone, including dates] +- Medications: + - [List current medications, dosages, and frequency] +- Allergies: + - [List any allergies the patient has, including medication, food, or environmental allergies] +- Immunizations: + - [Include information on relevant vaccinations and their dates] + +[Family Medical History] +- [List any significant medical conditions that run in the patient's family, such as heart disease, diabetes, cancer, etc.] + +[Social History] +- Occupation: [Patient's occupation] +- Tobacco Use: [Specify if the patient smokes or uses tobacco products] +- Alcohol Use: [Specify if the patient consumes alcohol and if so, how often and in what quantities] +- Drug Use: [Specify if the patient uses recreational drugs or has a history of drug use] +- Diet: [Provide information about the patient's dietary habits, including any special diets] +- Exercise: [Describe the patient's level of physical activity] + +[Review of Systems] +- [List and briefly describe the patient's symptoms or concerns related to various body systems, including cardiovascular, respiratory, gastrointestinal, musculoskeletal, etc.] + +[Social and Environmental History] +- [Include information about the patient's living situation, relationships, and any environmental factors that may be relevant to their health] + +[Psychosocial History] +- [Note any significant mental health history or psychosocial stressors] + +[Sexual History] +- [Include relevant sexual history information if applicable] + +[Substance Use History] +- [Detail any history of alcohol or substance abuse, if applicable] + +[Physical Examination Findings] +- [Summarize any relevant physical examination findings, including vital signs, general appearance, and specific organ system assessments] + +[Assessment and Plan] +- [Provide a brief assessment of the patient's current medical condition and a plan for further evaluation and treatment] + +[Provider's Name and Credentials] +- [Name of the healthcare provider] +- [Credentials, such as MD, DO, NP, PA] + +[Date] +- [Date of the clinical history] + +[Signature] +- [Signature of the healthcare provider] + + + + + +https://www.odonto.unam.mx/es/formatos-clinicos + +Ejemplo de formato para historia clínica +Aquí te mostramos un formato para historia clínica (básico) que te servirá para recoger datos más importantes de los pacientes y que ayudarán para analizar su recorrido médico. + +Ficha de Identificación. + +Nombre: ____________________________ + +Apellidos: _____________________________ + +Registro núm. _______________________________________________________ + +Sexo__________ Edad_____________ Cuarto________ Sala_______ + +Ocupación / Profesión: + +________________________________________________________ + +Motivo de la consulta: + +_________________________________________________ + +Antecedentes Personales Patológicos. (Debe decir los antecedentes de importancia clínica. Tratamiento que recibe para cada situación comórbida y su duración). + +Cardiovasculares____Pulmonares____Digestivos______Diabetes___ + +Renales______Quirúrgicos_____Alérgicos_____Transfusiones_____ + +Medicamentos: ____________________________________________ + +Especifique: _________________________________________________________________ + +Antecedentes Personales No Patológicos (Indicar todo lo relacionado a tabaquismo, uso de alcohol, así como diferentes adicciones y su duración. Antecedentes sexuales del paciente) + +Alcohol: ________________________________________________ + +Tabaquismo: ____________________________________________ + +Drogas: ________________________________________________ + +Inmunizaciones: _________________________________________ + +Otros: __________________________________________________ + +Antecedentes Familiares: + +Padre: Vivo Si____ No____ + +Enfermedades que padece: _______________________________________ + +________________________________________________________________ + +________________________________________________________________ + +Madre: Viva Si____ No____ + +Enfermedades que padece: ________________________________________ + +________________________________________________________________ + +Hermanos: ¿Cuántos? ______ Vivos _____ + +Enfermedades que padecen: ______________________________________ + +________________________________________________________________ + +Otros: + +Antecedentes Gineco-obstétricos: + +Menarquía _________ Ritmo ____________ F.U.M.______________ + +G____ P_____ A______ C_______ I.V.S.A ______________ + +Uso de Métodos Anticonceptivos: Si ______ No _______ + +¿Cuáles? ________________________________________ + +_________________________________________________ + +Enfermedad actual del paciente + +_________________________________________________ + +Exploración física. + +Signos Vitales. T.A._____ (brazo derecho) T.A. (brazo izquierdo)__________F.C._______ + +Frec. Resp.________Temp.______Peso_____Talla_____IMC______ + +Cabeza y Cuello __________________________________________ + +________________________________________________________ + +________________________________________________________ + +Tórax __________________________________________________ + +Abdomen + +________________________________ + +Extremidades + +_______________________________________ + +Neurológico y estado mental + +____________________________________________________________ + +Laboratorio + +Estudios de Imagen + +Otros: + +Lista de Problemas. (Tratar de orientar el proceso diagnóstico en base a agrupar los síntomas que nuestro paciente presenta, tratando de encontrar una explicación en la mayor parte de los casos por una sola entidad. Por ejemplo: Paciente el cual acude por hematemesis al interrogatorio nos comenta sobre datos de síndrome dispéptico, pérdida de peso, todo esto probablemente se pudiera englobar en un solo problema) + +Activo / Inactivo + +1.-______________________ + +2.-______________________ + +3.-______________________ + +4.-______________________ + +5.-______________________ + +6.-______________________ + +7.-______________________ + +La jerarquía de los problemas va de acuerdo a su importancia y al motivo de consulta, en relación a activos son los problemas que en este momento presenta el paciente, por el contrario, los problemas inactivos son aquellos que en términos generales solo son antecedentes o aquellos activos que ya se resolvieron. + +Exámenes complementarios: __________________________________ + +Diagnóstico: _________________________________________________ + +____________________________________________________________ + +Plan Terapéutico: ________________________________________ + +Nombre, apellido y cédula del médico tratante: ________________________________________ + + + diff --git a/ai-medical-chatbot-master/2-Data/tools/timer.py b/ai-medical-chatbot-master/2-Data/tools/timer.py new file mode 100644 index 0000000000000000000000000000000000000000..39d9677f0b0355f44b10a34f325f1232c9096bc7 --- /dev/null +++ b/ai-medical-chatbot-master/2-Data/tools/timer.py @@ -0,0 +1,26 @@ +# timer.py + +import time + +class TimerError(Exception): + """A custom exception used to report errors in use of Timer class""" + +class Timer: + def __init__(self): + self._start_time = None + + def start(self): + """Start a new timer""" + if self._start_time is not None: + raise TimerError(f"Timer is running. Use .stop() to stop it") + + self._start_time = time.perf_counter() + + def stop(self): + """Stop the timer, and report the elapsed time""" + if self._start_time is None: + raise TimerError(f"Timer is not running. Use .start() to start it") + + elapsed_time = time.perf_counter() - self._start_time + self._start_time = None + print(f"Elapsed time: {elapsed_time:0.4f} seconds") \ No newline at end of file diff --git a/ai-medical-chatbot-master/3-Modeling/3_1-Preproces.ipynb b/ai-medical-chatbot-master/3-Modeling/3_1-Preproces.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..ffd56e24fe521c223739bd9454a60b3a90210634 --- /dev/null +++ b/ai-medical-chatbot-master/3-Modeling/3_1-Preproces.ipynb @@ -0,0 +1,1105 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Load the dataset\n", + "We will combine the Description and Patient text into a single combined text. The model will encode this combined text and it will output a single vector embedding." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To run this notebook, you will need to install: pandas, openai, transformers, plotly, matplotlib, scikit-learn, torch (transformer dep), torchvision, and scipy." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "import pandas as pd\n", + "import tiktoken\n", + "from openai.embeddings_utils import get_embedding\n", + "import time" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# embedding model parameters\n", + "embedding_model = \"text-embedding-ada-002\"\n", + "embedding_encoding = \"cl100k_base\" # this the encoding for text-embedding-ada-002\n", + "max_tokens = 8000 # the maximum for text-embedding-ada-002 is 8191" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# load & inspect dataset\n", + "df = pd.read_csv(\"../2-Data/dialogues.csv\", sep = '\\t')\n", + "df = df.dropna()#.head(1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "df.rename(columns = {'Description':'Question',\"Doctor\":\"Answer\"}, inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0Q. What does abutment of the nerve root mean?Hi doctor,I am just wondering what is abutting...Hi. I have gone through your query with dilige...
1Q. What should I do to reduce my weight gained...Hi doctor, I am a 22-year-old female who was d...Hi. You have really done well with the hypothy...
2Q. I have started to get lots of acne on my fa...Hi doctor! I used to have clear skin but since...Hi there Acne has multifactorial etiology. Onl...
3Q. Why do I have uncomfortable feeling between...Hello doctor,I am having an uncomfortable feel...Hello. The popping and discomfort what you fel...
4Q. My symptoms after intercourse threatns me e...Hello doctor,Before two years had sex with a c...Hello. The HIV test uses a finger prick blood ...
............
256911Why is hair fall increasing while using Bontre...I am suffering from excessive hairfall. My doc...Hello Dear Thanks for writing to us, we are he...
256912Why was I asked to discontinue Androanagen whi...Hi Doctor, I have been having severe hair fall...hello, hair4u is combination of minoxid...
256913Can Mintop 5% Lotion be used by women for seve...Hi..i hav sever hair loss problem so consulted...HI I have evaluated your query thoroughly you...
256914Is Minoxin 5% lotion advisable instead of Foli...Hi, i am 25 year old girl, i am having massive...Hello and Welcome to ‘Ask A Doctor’ service.I ...
256915Are Biotin supplements need to reduce severe h...iam having hairfall for a decade.. but fews we...you did'nt mention about thyroid problem ...us...
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QuestionPatientAnswercombined
0Q. What does abutment of the nerve root mean?Hi doctor,I am just wondering what is abutting...Hi. I have gone through your query with dilige...Question: Q. What does abutment of the nerve r...
1Q. What should I do to reduce my weight gained...Hi doctor, I am a 22-year-old female who was d...Hi. You have really done well with the hypothy...Question: Q. What should I do to reduce my wei...
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" + ], + "text/plain": [ + " Question \\\n", + "0 Q. What does abutment of the nerve root mean? \n", + "1 Q. What should I do to reduce my weight gained... \n", + "\n", + " Patient \\\n", + "0 Hi doctor,I am just wondering what is abutting... \n", + "1 Hi doctor, I am a 22-year-old female who was d... \n", + "\n", + " Answer \\\n", + "0 Hi. I have gone through your query with dilige... \n", + "1 Hi. You have really done well with the hypothy... \n", + "\n", + " combined \n", + "0 Question: Q. What does abutment of the nerve r... \n", + "1 Question: Q. What should I do to reduce my wei... " + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[\"combined\"] = (\n", + " \"Question: \" + df.Question.str.strip() + \"; Patient: \" + df.Patient.str.strip()+ \"; Answer: \" + df.Answer.str.strip()\n", + ")\n", + "df.head(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "#df[\"combined\"] = ( \"Description: \" + df.Description.str.strip() + \"; Patient: \" + df.Patient.str.strip())\n", + "#df.head(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "# subsample to 1k most recent reviews and remove samples that are too long\n", + "top_n = df.shape[0]\n", + "#df = df.tail(top_n * 2) # first cut to first 2k entries, assuming less than half will be filtered out" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "256916" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "encoding = tiktoken.get_encoding(embedding_encoding)\n", + "# omit reviews that are too long to embed\n", + "df[\"n_tokens\"] = df.combined.apply(lambda x: len(encoding.encode(x)))\n", + "df = df[df.n_tokens <= max_tokens].tail(top_n)\n", + "len(df)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DescriptionPatientDoctorcombinedn_tokens
0Q. What does abutment of the nerve root mean?Hi doctor,I am just wondering what is abutting...Hi. I have gone through your query with dilige...Description: Q. What does abutment of the nerv...95
1Q. What should I do to reduce my weight gained...Hi doctor, I am a 22-year-old female who was d...Hi. You have really done well with the hypothy...Description: Q. What should I do to reduce my ...519
2Q. I have started to get lots of acne on my fa...Hi doctor! I used to have clear skin but since...Hi there Acne has multifactorial etiology. Onl...Description: Q. I have started to get lots of ...285
3Q. Why do I have uncomfortable feeling between...Hello doctor,I am having an uncomfortable feel...Hello. The popping and discomfort what you fel...Description: Q. Why do I have uncomfortable fe...324
4Q. My symptoms after intercourse threatns me e...Hello doctor,Before two years had sex with a c...Hello. The HIV test uses a finger prick blood ...Description: Q. My symptoms after intercourse ...442
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256911Why is hair fall increasing while using Bontre...I am suffering from excessive hairfall. My doc...Hello Dear Thanks for writing to us, we are he...Description: Why is hair fall increasing while...211
256912Why was I asked to discontinue Androanagen whi...Hi Doctor, I have been having severe hair fall...hello, hair4u is combination of minoxid...Description: Why was I asked to discontinue An...154
256913Can Mintop 5% Lotion be used by women for seve...Hi..i hav sever hair loss problem so consulted...HI I have evaluated your query thoroughly you...Description: Can Mintop 5% Lotion be used by w...191
256914Is Minoxin 5% lotion advisable instead of Foli...Hi, i am 25 year old girl, i am having massive...Hello and Welcome to ‘Ask A Doctor’ service.I ...Description: Is Minoxin 5% lotion advisable in...232
256915Are Biotin supplements need to reduce severe h...iam having hairfall for a decade.. but fews we...you did'nt mention about thyroid problem ...us...Description: Are Biotin supplements need to re...213
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" + ], + "text/plain": [ + " Description \\\n", + "0 Q. What does abutment of the nerve root mean? \n", + "1 Q. What should I do to reduce my weight gained... \n", + "2 Q. I have started to get lots of acne on my fa... \n", + "3 Q. Why do I have uncomfortable feeling between... \n", + "4 Q. My symptoms after intercourse threatns me e... \n", + "... ... \n", + "256911 Why is hair fall increasing while using Bontre... \n", + "256912 Why was I asked to discontinue Androanagen whi... \n", + "256913 Can Mintop 5% Lotion be used by women for seve... \n", + "256914 Is Minoxin 5% lotion advisable instead of Foli... \n", + "256915 Are Biotin supplements need to reduce severe h... \n", + "\n", + " Patient \\\n", + "0 Hi doctor,I am just wondering what is abutting... \n", + "1 Hi doctor, I am a 22-year-old female who was d... \n", + "2 Hi doctor! I used to have clear skin but since... \n", + "3 Hello doctor,I am having an uncomfortable feel... \n", + "4 Hello doctor,Before two years had sex with a c... \n", + "... ... \n", + "256911 I am suffering from excessive hairfall. My doc... \n", + "256912 Hi Doctor, I have been having severe hair fall... \n", + "256913 Hi..i hav sever hair loss problem so consulted... \n", + "256914 Hi, i am 25 year old girl, i am having massive... \n", + "256915 iam having hairfall for a decade.. but fews we... \n", + "\n", + " Doctor \\\n", + "0 Hi. I have gone through your query with dilige... \n", + "1 Hi. You have really done well with the hypothy... \n", + "2 Hi there Acne has multifactorial etiology. Onl... \n", + "3 Hello. The popping and discomfort what you fel... \n", + "4 Hello. The HIV test uses a finger prick blood ... \n", + "... ... \n", + "256911 Hello Dear Thanks for writing to us, we are he... \n", + "256912 hello, hair4u is combination of minoxid... \n", + "256913 HI I have evaluated your query thoroughly you... \n", + "256914 Hello and Welcome to ‘Ask A Doctor’ service.I ... \n", + "256915 you did'nt mention about thyroid problem ...us... \n", + "\n", + " combined n_tokens \n", + "0 Description: Q. What does abutment of the nerv... 95 \n", + "1 Description: Q. What should I do to reduce my ... 519 \n", + "2 Description: Q. I have started to get lots of ... 285 \n", + "3 Description: Q. Why do I have uncomfortable fe... 324 \n", + "4 Description: Q. My symptoms after intercourse ... 442 \n", + "... ... ... \n", + "256911 Description: Why is hair fall increasing while... 211 \n", + "256912 Description: Why was I asked to discontinue An... 154 \n", + "256913 Description: Can Mintop 5% Lotion be used by w... 191 \n", + "256914 Description: Is Minoxin 5% lotion advisable in... 232 \n", + "256915 Description: Are Biotin supplements need to re... 213 \n", + "\n", + "[256916 rows x 5 columns]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are different ways to convert text into a vector or into embeddings.\n", + "\n", + "Unfortunately, most good methods to get embeddings in Python are not free.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Get embeddings using SentenceTransformers" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let us use SentenceTransformers, a Python framework for state-of-the-art sentence, text, and image embeddings. The initial work is described in our paper Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First we verify that Torch is CUDA capable" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import torch\n", + "torch.cuda.is_available()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We define our list of sentences. You can use a larger list (it is best to use a list of sentences for easier processing of each sentence)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can install Sentence BERT using:\n", + "`!pip install sentence-transformers`\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "Step 1: We will then load the pre-trained BERT model. There are many other pre-trained models available." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "from sentence_transformers import SentenceTransformer\n", + "sbert_model = SentenceTransformer('bert-base-nli-mean-tokens')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We proceed to test the embeding creation" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "from sentence_transformers import SentenceTransformer\n", + "model = SentenceTransformer('paraphrase-MiniLM-L6-v2')\n", + "#Sentences we want to encode. Example:\n", + "sentence = ['This framework generates embeddings for each input sentence']\n", + "#Sentences are encoded by calling model.encode()\n", + "embedding = model.encode(sentence)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['This framework generates embeddings for each input sentence']" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sentence" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "def get_embeddings(x,transformer='paraphrase-MiniLM-L6-v2'):\n", + " model = SentenceTransformer(transformer)\n", + " #Sentences we want to encode\n", + " sentence =x\n", + " #Sentences are encoded by calling model.encode()\n", + " embedding = model.encode(sentence)\n", + " return embedding" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "# This may take a few minutes\n", + "embedding_mod='paraphrase-MiniLM-L6-v2'\n", + "#df[\"embedding\"] = df.combined.apply(lambda x: get_embeddings(x, transformer=embedding_mod))" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "df=df.head(1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "#embedding_doctor\n", + "# This may take a few minutes\n", + "df[\"embedding\"] = df.Answer.apply(lambda x: get_embeddings(x, transformer=embedding_mod))" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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QuestionPatientAnswercombinedn_tokensembedding
0Q. What does abutment of the nerve root mean?Hi doctor,I am just wondering what is abutting...Hi. I have gone through your query with dilige...Question: Q. What does abutment of the nerve r...95[-0.109211065, -0.17469415, 0.18996556, 0.0599...
1Q. What should I do to reduce my weight gained...Hi doctor, I am a 22-year-old female who was d...Hi. You have really done well with the hypothy...Question: Q. What should I do to reduce my wei...519[-0.014065318, 0.0440334, 0.26095688, 0.086799...
2Q. I have started to get lots of acne on my fa...Hi doctor! I used to have clear skin but since...Hi there Acne has multifactorial etiology. Onl...Question: Q. I have started to get lots of acn...285[-0.39175138, -0.025890486, -0.024644196, -0.0...
3Q. Why do I have uncomfortable feeling between...Hello doctor,I am having an uncomfortable feel...Hello. The popping and discomfort what you fel...Question: Q. Why do I have uncomfortable feeli...324[-0.29406005, -0.31878802, 0.27588362, 0.09649...
4Q. My symptoms after intercourse threatns me e...Hello doctor,Before two years had sex with a c...Hello. The HIV test uses a finger prick blood ...Question: Q. My symptoms after intercourse thr...442[-0.36187398, 0.18491694, -0.3090741, -0.30197...
.....................
995Q. My lax les is 38 cm with inflamed gastric f...Hello doctor, My lax les is 38 cm with inflame...Hello. Gastritis is an inflammation of stomach...Question: Q. My lax les is 38 cm with inflamed...214[-0.1555396, -0.44157797, -0.15364785, 0.25760...
996Q. I am suffering from mood swings. Kindly adv...Hello doctor,I want to get some information re...Hello. Let me answer your questions via some b...Question: Q. I am suffering from mood swings. ...491[-0.2296337, 0.119730674, 0.37153018, 0.062901...
997Q. I am having swollen lymph node in my neck. ...Hello doctor, I went to the chiropractor and g...Hello. I do not think that because of chiropra...Question: Q. I am having swollen lymph node in...395[-0.10149522, -0.33532476, 0.40812746, -0.2713...
998Q. How good is Albenza for a raccoon roundworm...Hello doctor,I am concerned about a possible r...Hello. Albendazole 400 mg single star dose is ...Question: Q. How good is Albenza for a raccoon...240[-0.06408733, 0.17669381, 0.09132431, -0.09456...
999Q. Will Kalarchikai cure multiple ovarian cyst...Hello doctor, I have multiple small cysts in b...Hello. I just read your query. See Kalarachi K...Question: Q. Will Kalarchikai cure multiple ov...309[0.03657364, 0.24297515, 0.09555141, 0.0270566...
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I used to have clear skin but since... \n", + "3 Hello doctor,I am having an uncomfortable feel... \n", + "4 Hello doctor,Before two years had sex with a c... \n", + ".. ... \n", + "995 Hello doctor, My lax les is 38 cm with inflame... \n", + "996 Hello doctor,I want to get some information re... \n", + "997 Hello doctor, I went to the chiropractor and g... \n", + "998 Hello doctor,I am concerned about a possible r... \n", + "999 Hello doctor, I have multiple small cysts in b... \n", + "\n", + " Answer \\\n", + "0 Hi. I have gone through your query with dilige... \n", + "1 Hi. You have really done well with the hypothy... \n", + "2 Hi there Acne has multifactorial etiology. Onl... \n", + "3 Hello. The popping and discomfort what you fel... \n", + "4 Hello. The HIV test uses a finger prick blood ... \n", + ".. ... \n", + "995 Hello. Gastritis is an inflammation of stomach... \n", + "996 Hello. Let me answer your questions via some b... \n", + "997 Hello. I do not think that because of chiropra... \n", + "998 Hello. Albendazole 400 mg single star dose is ... \n", + "999 Hello. I just read your query. See Kalarachi K... \n", + "\n", + " combined n_tokens \\\n", + "0 Question: Q. What does abutment of the nerve r... 95 \n", + "1 Question: Q. What should I do to reduce my wei... 519 \n", + "2 Question: Q. I have started to get lots of acn... 285 \n", + "3 Question: Q. Why do I have uncomfortable feeli... 324 \n", + "4 Question: Q. My symptoms after intercourse thr... 442 \n", + ".. ... ... \n", + "995 Question: Q. My lax les is 38 cm with inflamed... 214 \n", + "996 Question: Q. I am suffering from mood swings. ... 491 \n", + "997 Question: Q. I am having swollen lymph node in... 395 \n", + "998 Question: Q. How good is Albenza for a raccoon... 240 \n", + "999 Question: Q. Will Kalarchikai cure multiple ov... 309 \n", + "\n", + " embedding \n", + "0 [-0.109211065, -0.17469415, 0.18996556, 0.0599... \n", + "1 [-0.014065318, 0.0440334, 0.26095688, 0.086799... \n", + "2 [-0.39175138, -0.025890486, -0.024644196, -0.0... \n", + "3 [-0.29406005, -0.31878802, 0.27588362, 0.09649... \n", + "4 [-0.36187398, 0.18491694, -0.3090741, -0.30197... \n", + ".. ... \n", + "995 [-0.1555396, -0.44157797, -0.15364785, 0.25760... \n", + "996 [-0.2296337, 0.119730674, 0.37153018, 0.062901... \n", + "997 [-0.10149522, -0.33532476, 0.40812746, -0.2713... \n", + "998 [-0.06408733, 0.17669381, 0.09132431, -0.09456... \n", + "999 [0.03657364, 0.24297515, 0.09555141, 0.0270566... \n", + "\n", + "[1000 rows x 6 columns]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "from ast import literal_eval\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "df[\"embedding\"] = df.embedding.apply(np.array) # convert string to numpy array" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "#df[\"embedding_doctor\"] = df.embedding_doctor.apply(np.array) # convert string to numpy array" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "df.to_pickle(\"../2-Data/dialogues_embededd.pkl\")" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "#df.to_csv(\"../2-Data/dialogues_embededd.csv\", sep = '\\t', encoding='utf-8', index=False)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Get embeddings using OpenAI (optional)\n", + "If we have a subscription in OpenAI, you can follow the following steps.\n", + "Is optional, we are going to use the previous method." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "# Python program to read\n", + "# json file\n", + "import json\n", + "# Opening JSON file\n", + "f = open('./credentials/api.json')\n", + "# returns JSON object as\n", + "# a dictionary\n", + "data = json.load(f)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "# Ensure you have your API key set in your environment per the README: https://github.com/openai/openai-python#usage\n", + "import openai\n", + "openai.api_key = data['OPENAI_API_KEY']\n", + "# Closing file\n", + "f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "# This may take a few minutes\n", + "df[\"embedding\"] = df.combined.apply(lambda x: get_embedding(x, engine=embedding_model))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df.to_csv(\"../2-Data/dialogues_embededd_openai.csv\", sep='\\t', encoding='utf-8', index=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Additional Notes (not neeeded)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "# list of text documents\n", + "text = [\"I am doga.\",\n", + " \"I am a dog\"]\n", + "# create the transform\n", + "vectorizer = TfidfVectorizer()\n", + "# tokenize and build vocab\n", + "vectorizer.fit(text)\n", + "# summarize\n", + "print(vectorizer.vocabulary_)\n", + "print(vectorizer.idf_)\n", + "# encode document\n", + "vector = vectorizer.transform([text[0]])\n", + "# summarize encoded vector\n", + "print(vector.shape)\n", + "print(vector.toarray())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.feature_extraction.text import HashingVectorizer\n", + "# list of text documents\n", + "text = [\"I am doc.\", \"I am dog\"]\n", + "# create the transform\n", + "vectorizer = HashingVectorizer(n_features=20)\n", + "# encode document\n", + "vector = vectorizer.transform(text)\n", + "# summarize encoded vector\n", + "print(vector.shape)\n", + "print(vector.toarray())" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python3 (GPT)", + "language": "python", + "name": "gpt" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + }, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/ai-medical-chatbot-master/3-Modeling/3_2-Clustering.ipynb b/ai-medical-chatbot-master/3-Modeling/3_2-Clustering.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..ee736d6df047e77611d12134de8d32cf663114e5 --- /dev/null +++ b/ai-medical-chatbot-master/3-Modeling/3_2-Clustering.ipynb @@ -0,0 +1,1248 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Clustering\n", + "\n", + "We use a simple k-means algorithm to demonstrate how clustering can be done. Clustering can help discover valuable, hidden groupings within the data. The dataset is created in the [Obtain_dataset Notebook](Obtain_dataset.ipynb)." + ] + }, + { + "cell_type": "code", + "execution_count": 433, + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "import numpy as np\n", + "import pandas as pd\n", + "from ast import literal_eval\n", + "# load data\n", + "datafile_path = \"../2-Data/dialogues_embededd.pkl\"\n", + "df = pd.read_pickle(datafile_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 434, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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My doc... \n", + "256912 Hi Doctor, I have been having severe hair fall... \n", + "256913 Hi..i hav sever hair loss problem so consulted... \n", + "256914 Hi, i am 25 year old girl, i am having massive... \n", + "256915 iam having hairfall for a decade.. but fews we... \n", + "\n", + " Doctor \\\n", + "255916 Hi simran, your problem can be best sort out u... \n", + "255917 do serum tsh and serum prolactin den do hsg on... \n", + "255918 Hi, I think you should keep a gap of 3 months ... \n", + "255919 Hello, which part of the body do you have thes... \n", + "255920 haha aw. Yes your supposed to shave, trim it f... \n", + "... ... \n", + "256911 Hello Dear Thanks for writing to us, we are he... \n", + "256912 hello, hair4u is combination of minoxid... \n", + "256913 HI I have evaluated your query thoroughly you... \n", + "256914 Hello and Welcome to ‘Ask A Doctor’ service.I ... \n", + "256915 you did'nt mention about thyroid problem ...us... \n", + "\n", + " combined n_tokens \\\n", + "255916 Description: What medicine is best for taking ... 282 \n", + "255917 Description: What causes non conception despit... 195 \n", + "255918 Description: How long after getting chicken po... 254 \n", + "255919 Description: How to remove unwanted hair witho... 110 \n", + "255920 Description: I am 15. Can i shave my pubic hai... 223 \n", + "... ... ... \n", + "256911 Description: Why is hair fall increasing while... 211 \n", + "256912 Description: Why was I asked to discontinue An... 154 \n", + "256913 Description: Can Mintop 5% Lotion be used by w... 191 \n", + "256914 Description: Is Minoxin 5% lotion advisable in... 232 \n", + "256915 Description: Are Biotin supplements need to re... 213 \n", + "\n", + " embedding \n", + "255916 [-0.2568769, 0.14872037, 0.17243277, 0.2426784... \n", + "255917 [-0.058888793, 0.084498726, -0.05540138, 0.021... \n", + "255918 [-0.12680525, -0.01062898, -0.25460148, 0.0511... \n", + "255919 [0.12641467, -0.1543769, 0.42004266, 0.1722529... \n", + "255920 [-0.06219541, 0.020706447, 0.38799724, -0.0219... \n", + "... ... \n", + "256911 [-0.17113408, 0.10835318, 0.33148944, -0.06146... \n", + "256912 [-0.24637492, 0.031407423, -0.05137701, -0.301... \n", + "256913 [-0.32340947, 0.3667281, 0.3651925, -0.0989788... \n", + "256914 [-0.18737659, 0.12219846, 0.2365137, 0.1126744... \n", + "256915 [-0.032349, -0.050617322, 0.30625877, 0.201994... \n", + "\n", + "[1000 rows x 6 columns]" + ] + }, + "execution_count": 437, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "## 1. Find the number of clusters" + ] + }, + { + "cell_type": "code", + "execution_count": 438, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd \n", + "import sklearn" + ] + }, + { + "cell_type": "code", + "execution_count": 439, + "metadata": {}, + "outputs": [], + "source": [ + "df[\"embedding\"] = df.embedding.apply(np.array) # convert string to numpy array" + ] + }, + { + "cell_type": "code", + "execution_count": 440, + "metadata": {}, + "outputs": [], + "source": [ + "X=df.iloc[:, 5].values" + ] + }, + { + "cell_type": "code", + "execution_count": 441, + "metadata": {}, + "outputs": [], + "source": [ + "#df.iloc[:, 5]" + ] + }, + { + "cell_type": "code", + "execution_count": 442, + "metadata": {}, + "outputs": [], + "source": [ + "X_input=[embed.tolist() for embed in X]" + ] + }, + { + "cell_type": "code", + "execution_count": 443, + "metadata": {}, + "outputs": [], + "source": [ + "#this is your array with the values\n", + "X = np.array(X_input)" + ] + }, + { + "cell_type": "code", + "execution_count": 444, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1000" + ] + }, + "execution_count": 444, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(X_input)" + ] + }, + { + "cell_type": "code", + "execution_count": 445, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "384" + ] + }, + "execution_count": 445, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(X_input[:2][1])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 446, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.cluster import KMeans\n", + "wcss = [] \n", + "max=20\n", + "for i in range(1, max): \n", + " kmeans = KMeans(n_init = i, init = 'k-means++', random_state = 42)\n", + " kmeans.fit(X) \n", + " wcss.append(kmeans.inertia_)" + ] + }, + { + "cell_type": "code", + "execution_count": 447, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(range(1, max), wcss)\n", + "plt.xlabel('Number of clusters')\n", + "plt.ylabel('WCSS') \n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1. Find the clusters using K-means" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We show the simplest use of K-means. You can pick the number of clusters that fits your use case best." + ] + }, + { + "cell_type": "code", + "execution_count": 458, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.cluster import KMeans\n", + "n_clusters = 7\n", + "kmeans = KMeans(n_init=n_clusters, init=\"k-means++\", random_state=42)\n", + "kmeans.fit(matrix)\n", + "labels = kmeans.labels_\n", + "df[\"Cluster\"] = labels" + ] + }, + { + "cell_type": "code", + "execution_count": 459, + "metadata": {}, + "outputs": [], + "source": [ + "# Centroid coordinates\n", + "centroids = kmeans.cluster_centers_\n", + "# get centroids\n", + "#centroids = model.cluster_centers_" + ] + }, + { + "cell_type": "code", + "execution_count": 460, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1000, 384)" + ] + }, + "execution_count": 460, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "matrix.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 461, + "metadata": {}, + "outputs": [], + "source": [ + "import scipy.spatial.distance as sdist" + ] + }, + { + "cell_type": "code", + "execution_count": 462, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(8, 384)" + ] + }, + "execution_count": 462, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "centroids.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 463, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1000, 384)" + ] + }, + "execution_count": 463, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "centroids[df['Cluster']].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 464, + "metadata": {}, + "outputs": [], + "source": [ + "def distance(index):\n", + " dist=sdist.norm(matrix[index] - centroids[df['Cluster']][index])\n", + " return dist" + ] + }, + { + "cell_type": "code", + "execution_count": 465, + "metadata": {}, + "outputs": [], + "source": [ + "dist=[distance(index) for index in range(len(df['Cluster']))]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 466, + "metadata": {}, + "outputs": [], + "source": [ + "df['distance'] = dist" + ] + }, + { + "cell_type": "code", + "execution_count": 467, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DescriptionPatientDoctorcombinedn_tokensembeddingClusterdistance
255916What medicine is best for taking out pores and...Hi, I am (Simran) 28 years (Female) hight 5/3 ...Hi simran, your problem can be best sort out u...Description: What medicine is best for taking ...282[-0.2568769, 0.14872037, 0.17243277, 0.2426784...73.389531
255917What causes non conception despite unprotected...Hi, i am living with my partner from last six ...do serum tsh and serum prolactin den do hsg on...Description: What causes non conception despit...195[-0.058888793, 0.084498726, -0.05540138, 0.021...53.848544
255918How long after getting chicken pox is it safe ...i am 25 yrs old. last year in June i had an IU...Hi, I think you should keep a gap of 3 months ...Description: How long after getting chicken po...254[-0.12680525, -0.01062898, -0.25460148, 0.0511...53.287058
255919How to remove unwanted hair without any side e...hi doctor! i m 22 years old and i want to remo...Hello, which part of the body do you have thes...Description: How to remove unwanted hair witho...110[0.12641467, -0.1543769, 0.42004266, 0.1722529...63.875464
255920I am 15. Can i shave my pubic hair?sorry,im just curious because im 15 and when i...haha aw. Yes your supposed to shave, trim it f...Description: I am 15. Can i shave my pubic hai...223[-0.06219541, 0.020706447, 0.38799724, -0.0219...63.841674
...........................
256911Why is hair fall increasing while using Bontre...I am suffering from excessive hairfall. My doc...Hello Dear Thanks for writing to us, we are he...Description: Why is hair fall increasing while...211[-0.17113408, 0.10835318, 0.33148944, -0.06146...62.765943
256912Why was I asked to discontinue Androanagen whi...Hi Doctor, I have been having severe hair fall...hello, hair4u is combination of minoxid...Description: Why was I asked to discontinue An...154[-0.24637492, 0.031407423, -0.05137701, -0.301...63.314942
256913Can Mintop 5% Lotion be used by women for seve...Hi..i hav sever hair loss problem so consulted...HI I have evaluated your query thoroughly you...Description: Can Mintop 5% Lotion be used by w...191[-0.32340947, 0.3667281, 0.3651925, -0.0989788...63.229499
256914Is Minoxin 5% lotion advisable instead of Foli...Hi, i am 25 year old girl, i am having massive...Hello and Welcome to ‘Ask A Doctor’ service.I ...Description: Is Minoxin 5% lotion advisable in...232[-0.18737659, 0.12219846, 0.2365137, 0.1126744...62.536337
256915Are Biotin supplements need to reduce severe h...iam having hairfall for a decade.. but fews we...you did'nt mention about thyroid problem ...us...Description: Are Biotin supplements need to re...213[-0.032349, -0.050617322, 0.30625877, 0.201994...63.123004
\n", + "

1000 rows × 8 columns

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" + ], + "text/plain": [ + " Description \\\n", + "255916 What medicine is best for taking out pores and... \n", + "255917 What causes non conception despite unprotected... \n", + "255918 How long after getting chicken pox is it safe ... \n", + "255919 How to remove unwanted hair without any side e... \n", + "255920 I am 15. Can i shave my pubic hair? \n", + "... ... \n", + "256911 Why is hair fall increasing while using Bontre... \n", + "256912 Why was I asked to discontinue Androanagen whi... \n", + "256913 Can Mintop 5% Lotion be used by women for seve... \n", + "256914 Is Minoxin 5% lotion advisable instead of Foli... \n", + "256915 Are Biotin supplements need to reduce severe h... \n", + "\n", + " Patient \\\n", + "255916 Hi, I am (Simran) 28 years (Female) hight 5/3 ... \n", + "255917 Hi, i am living with my partner from last six ... \n", + "255918 i am 25 yrs old. last year in June i had an IU... \n", + "255919 hi doctor! i m 22 years old and i want to remo... \n", + "255920 sorry,im just curious because im 15 and when i... \n", + "... ... \n", + "256911 I am suffering from excessive hairfall. My doc... \n", + "256912 Hi Doctor, I have been having severe hair fall... \n", + "256913 Hi..i hav sever hair loss problem so consulted... \n", + "256914 Hi, i am 25 year old girl, i am having massive... \n", + "256915 iam having hairfall for a decade.. but fews we... \n", + "\n", + " Doctor \\\n", + "255916 Hi simran, your problem can be best sort out u... \n", + "255917 do serum tsh and serum prolactin den do hsg on... \n", + "255918 Hi, I think you should keep a gap of 3 months ... \n", + "255919 Hello, which part of the body do you have thes... \n", + "255920 haha aw. Yes your supposed to shave, trim it f... \n", + "... ... \n", + "256911 Hello Dear Thanks for writing to us, we are he... \n", + "256912 hello, hair4u is combination of minoxid... \n", + "256913 HI I have evaluated your query thoroughly you... \n", + "256914 Hello and Welcome to ‘Ask A Doctor’ service.I ... \n", + "256915 you did'nt mention about thyroid problem ...us... \n", + "\n", + " combined n_tokens \\\n", + "255916 Description: What medicine is best for taking ... 282 \n", + "255917 Description: What causes non conception despit... 195 \n", + "255918 Description: How long after getting chicken po... 254 \n", + "255919 Description: How to remove unwanted hair witho... 110 \n", + "255920 Description: I am 15. Can i shave my pubic hai... 223 \n", + "... ... ... \n", + "256911 Description: Why is hair fall increasing while... 211 \n", + "256912 Description: Why was I asked to discontinue An... 154 \n", + "256913 Description: Can Mintop 5% Lotion be used by w... 191 \n", + "256914 Description: Is Minoxin 5% lotion advisable in... 232 \n", + "256915 Description: Are Biotin supplements need to re... 213 \n", + "\n", + " embedding Cluster distance \n", + "255916 [-0.2568769, 0.14872037, 0.17243277, 0.2426784... 7 3.389531 \n", + "255917 [-0.058888793, 0.084498726, -0.05540138, 0.021... 5 3.848544 \n", + "255918 [-0.12680525, -0.01062898, -0.25460148, 0.0511... 5 3.287058 \n", + "255919 [0.12641467, -0.1543769, 0.42004266, 0.1722529... 6 3.875464 \n", + "255920 [-0.06219541, 0.020706447, 0.38799724, -0.0219... 6 3.841674 \n", + "... ... ... ... \n", + "256911 [-0.17113408, 0.10835318, 0.33148944, -0.06146... 6 2.765943 \n", + "256912 [-0.24637492, 0.031407423, -0.05137701, -0.301... 6 3.314942 \n", + "256913 [-0.32340947, 0.3667281, 0.3651925, -0.0989788... 6 3.229499 \n", + "256914 [-0.18737659, 0.12219846, 0.2365137, 0.1126744... 6 2.536337 \n", + "256915 [-0.032349, -0.050617322, 0.30625877, 0.201994... 6 3.123004 \n", + "\n", + "[1000 rows x 8 columns]" + ] + }, + "execution_count": 467, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 468, + "metadata": {}, + "outputs": [], + "source": [ + "#df.groupby(['Cluster'])['Score'].mean()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 469, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Cluster\n", + "0 2.015194\n", + "1 2.055015\n", + "4 2.461319\n", + "6 2.740797\n", + "7 3.067031\n", + "5 3.095309\n", + "3 3.164274\n", + "2 3.284517\n", + "Name: distance, dtype: float64" + ] + }, + "execution_count": 469, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.groupby(\"Cluster\").distance.mean().sort_values()" + ] + }, + { + "cell_type": "code", + "execution_count": 470, + "metadata": {}, + "outputs": [], + "source": [ + "nticks = n_clusters\n", + "colormap = plt.get_cmap('turbo', nticks)" + ] + }, + { + "cell_type": "code", + "execution_count": 471, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "matplotlib.colors.ListedColormap" + ] + }, + "execution_count": 471, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(colormap)" + ] + }, + { + "cell_type": "code", + "execution_count": 472, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "7" + ] + }, + "execution_count": 472, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(colormap.colors)" + ] + }, + { + "cell_type": "code", + "execution_count": 473, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "matplotlib.colors.ListedColormap" + ] + }, + "execution_count": 473, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(colormap)" + ] + }, + { + "cell_type": "code", + "execution_count": 474, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\rusla\\AppData\\Local\\Temp\\ipykernel_26408\\3162068520.py:16: RuntimeWarning: Mean of empty slice.\n", + " avg_x = xs.mean()\n", + "C:\\gpt\\my_venv\\lib\\site-packages\\numpy\\core\\_methods.py:190: RuntimeWarning: invalid value encountered in divide\n", + " ret = ret.dtype.type(ret / rcount)\n", + "C:\\Users\\rusla\\AppData\\Local\\Temp\\ipykernel_26408\\3162068520.py:17: RuntimeWarning: Mean of empty slice.\n", + " avg_y = ys.mean()\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Clusters identified visualized in language 2d using t-SNE')" + ] + }, + "execution_count": 474, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.manifold import TSNE\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "tsne = TSNE(n_components=2, perplexity=15, random_state=42, init=\"random\", learning_rate=200)\n", + "vis_dims2 = tsne.fit_transform(matrix)\n", + "\n", + "x = [x for x, y in vis_dims2]\n", + "y = [y for x, y in vis_dims2]\n", + "\n", + "for category, color in enumerate([\"purple\", \"green\", \"red\", \"blue\",\"yellow\",\"orange\",\"violet\",\"cyan\",\"magenta\"]):\n", + " xs = np.array(x)[df.Cluster == category]\n", + " ys = np.array(y)[df.Cluster == category]\n", + " plt.scatter(xs, ys, color=color, alpha=0.3)\n", + "\n", + " avg_x = xs.mean()\n", + " avg_y = ys.mean()\n", + "\n", + " plt.scatter(avg_x, avg_y, marker=\"x\", color=color, s=100)\n", + "plt.title(\"Clusters identified visualized in language 2d using t-SNE\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Visualization of clusters in a 2d projection. In this run, the green cluster (#1) seems quite different from the others. Let's see a few samples from each cluster." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python3 (GPT)", + "language": "python", + "name": "gpt" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + }, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/ai-medical-chatbot-master/3-Modeling/3_3-Features.ipynb b/ai-medical-chatbot-master/3-Modeling/3_3-Features.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..2c9eea0559319cf3589b93f2fbecfe068c0ae765 --- /dev/null +++ b/ai-medical-chatbot-master/3-Modeling/3_3-Features.ipynb @@ -0,0 +1,196 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "fe1e3c26-5d02-416f-a468-24c044b80592", + "metadata": {}, + "source": [ + "# Part 3 - Modeling of Free Doctor with AI\r\n" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "e5354d8e-f1b5-432d-a079-5f177a3fb438", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "94d9a4b0-f9fd-4e27-8f0f-7782538c4a64", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(\"../2-Data/dialogues_embededd.csv\", sep = '\\t')" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "cfd159ba-529b-45b6-b4a4-bacce9a59e2e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(480, 1)" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "38625075-4aa7-4157-87df-fe813af57933", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Description,Patient,Doctor,combined,n_tokens,embedding
0Q. What does abutment of the nerve root mean?,...
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......
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479-2.97551930e-01 -1.77235723e-01 -5.60616851e-...
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For details, see\n", + "[documentation](https://cloud.ibm.com/docs/account?topic=account-userapikey&interface=ui)." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Python program to read\n", + "# json file\n", + "import json\n", + "# Opening JSON file\n", + "f = open('./credentials/api.json')\n", + "# returns JSON object as\n", + "# a dictionary\n", + "data = json.load(f)\n", + "# Ensure you have your API key set in your environment\n", + "#in ./credentials/api.json\n", + "IBM_CLOUD_API = data['IBM_CLOUD_API']\n", + "PROJECT_ID = data['PROJECT_ID']\n", + "# Closing file\n", + "f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "credentials = {\n", + " \"url\": \"https://us-south.ml.cloud.ibm.com\",\n", + " \"apikey\": IBM_CLOUD_API\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "### Defining the project id\n", + "The API requires project id that provides the context for the call. We will obtain the id from the project in which this notebook runs. Otherwise, please provide the project id.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "try:\n", + " project_id = os.environ[\"PROJECT_ID\"]\n", + "except KeyError:\n", + " project_id = PROJECT_ID" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "\n", + "## Train data loading" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "Load train and test datasets. At first, training dataset (`train_data`) should be used to work with the models to prepare and tune prompt. Then, test dataset (`test_data`) should be used to calculate the metrics score for selected model, defined prompts and parameters." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "import numpy as np\n", + "import pandas as pd\n", + "# load data\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "filename_data = \"../2-Data/dialogues_embededd.pkl\"\n", + "data = pd.read_pickle(filename_data)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "#data = data.reset_index()\n", + "#data.rename(columns = {'index':'ids'}, inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.model_selection import train_test_split" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "train_data, test_data= train_test_split(data, test_size=0.05)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(950, 6)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "train_data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(50, 6)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test_data.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "## Build up knowledge base\n", + "\n", + "The current state-of-the-art in RAG is to create dense vector representations of the knowledge base in order to calculate the semantic similarity to a given user query.\n", + "\n", + "We can generate dense vector representations using embedding models. In this notebook, we use [SentenceTransformers](https://www.google.com/search?client=safari&rls=en&q=sentencetransformers&ie=UTF-8&oe=UTF-8) [all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) to embed both the knowledge base passages and user queries. `all-MiniLM-L6-v2` is a performant open-source model that is small enough to run locally.\n", + "\n", + "A vector database is optimized for dense vector indexing and retrieval. This notebook uses [Chroma](https://docs.trychroma.com), a user-friendly open-source vector database, licensed under Apache 2.0, which offers good speed and performance with all-MiniLM-L6-v2 embedding model." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "The dataset we are using is already split into self-contained passages that can be ingested by Chroma. \n", + "\n", + "The size of each passage is limited by the embedding model's context window (which is 256 tokens for `all-MiniLM-L6-v2`)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load knowledge base documents\n", + "\n", + "Load set of documents used further to build knowledge base. " + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "data_root = \"../2-Data/\"\n", + "knowledge_base_dir = f\"{data_root}/knowledge_base\"" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'../2-Data//knowledge_base'" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "knowledge_base_dir" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "#if not os.path.exists(knowledge_base_dir):\n", + "# from zipfile import ZipFile\n", + "# with ZipFile(knowledge_base_dir + \".zip\", 'r') as zObject:\n", + "# zObject.extractall(data_root)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "#documents = pd.read_csv(f\"{knowledge_base_dir}/psgs.tsv\", sep='\\t', header=0)\n", + "#documents['indextext'] = documents['title'].astype(str) + \"\\n\" + documents['text']" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0Q. What does abutment of the nerve root mean?Hi doctor,I am just wondering what is abutting...Hi. I have gone through your query with dilige...Question: Q. What does abutment of the nerve r...
1Q. What should I do to reduce my weight gained...Hi doctor, I am a 22-year-old female who was d...Hi. You have really done well with the hypothy...Question: Q. What should I do to reduce my wei...
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idsQuestionPatientAnswercombined
00Q. What does abutment of the nerve root mean?Hi doctor,I am just wondering what is abutting...Hi. I have gone through your query with dilige...Question: Q. What does abutment of the nerve r...
11Q. What should I do to reduce my weight gained...Hi doctor, I am a 22-year-old female who was d...Hi. You have really done well with the hypothy...Question: Q. What should I do to reduce my wei...
22Q. I have started to get lots of acne on my fa...Hi doctor! I used to have clear skin but since...Hi there Acne has multifactorial etiology. Onl...Question: Q. I have started to get lots of acn...
33Q. Why do I have uncomfortable feeling between...Hello doctor,I am having an uncomfortable feel...Hello. The popping and discomfort what you fel...Question: Q. Why do I have uncomfortable feeli...
44Q. My symptoms after intercourse threatns me e...Hello doctor,Before two years had sex with a c...Hello. The HIV test uses a finger prick blood ...Question: Q. My symptoms after intercourse thr...
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246533256911Why is hair fall increasing while using Bontre...I am suffering from excessive hairfall. My doc...Hello Dear Thanks for writing to us, we are he...Question: Why is hair fall increasing while us...
246534256912Why was I asked to discontinue Androanagen whi...Hi Doctor, I have been having severe hair fall...hello, hair4u is combination of minoxid...Question: Why was I asked to discontinue Andro...
246535256913Can Mintop 5% Lotion be used by women for seve...Hi..i hav sever hair loss problem so consulted...HI I have evaluated your query thoroughly you...Question: Can Mintop 5% Lotion be used by wome...
246536256914Is Minoxin 5% lotion advisable instead of Foli...Hi, i am 25 year old girl, i am having massive...Hello and Welcome to ‘Ask A Doctor’ service.I ...Question: Is Minoxin 5% lotion advisable inste...
246537256915Are Biotin supplements need to reduce severe h...iam having hairfall for a decade.. but fews we...you did'nt mention about thyroid problem ...us...Question: Are Biotin supplements need to reduc...
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I used to have clear skin but since... \n", + "3 Hello doctor,I am having an uncomfortable feel... \n", + "4 Hello doctor,Before two years had sex with a c... \n", + "... ... \n", + "246533 I am suffering from excessive hairfall. My doc... \n", + "246534 Hi Doctor, I have been having severe hair fall... \n", + "246535 Hi..i hav sever hair loss problem so consulted... \n", + "246536 Hi, i am 25 year old girl, i am having massive... \n", + "246537 iam having hairfall for a decade.. but fews we... \n", + "\n", + " Answer \\\n", + "0 Hi. I have gone through your query with dilige... \n", + "1 Hi. You have really done well with the hypothy... \n", + "2 Hi there Acne has multifactorial etiology. Onl... \n", + "3 Hello. The popping and discomfort what you fel... \n", + "4 Hello. The HIV test uses a finger prick blood ... \n", + "... ... \n", + "246533 Hello Dear Thanks for writing to us, we are he... \n", + "246534 hello, hair4u is combination of minoxid... \n", + "246535 HI I have evaluated your query thoroughly you... \n", + "246536 Hello and Welcome to ‘Ask A Doctor’ service.I ... \n", + "246537 you did'nt mention about thyroid problem ...us... \n", + "\n", + " combined \n", + "0 Question: Q. What does abutment of the nerve r... \n", + "1 Question: Q. What should I do to reduce my wei... \n", + "2 Question: Q. I have started to get lots of acn... \n", + "3 Question: Q. Why do I have uncomfortable feeli... \n", + "4 Question: Q. My symptoms after intercourse thr... \n", + "... ... \n", + "246533 Question: Why is hair fall increasing while us... \n", + "246534 Question: Why was I asked to discontinue Andro... \n", + "246535 Question: Can Mintop 5% Lotion be used by wome... \n", + "246536 Question: Is Minoxin 5% lotion advisable inste... \n", + "246537 Question: Are Biotin supplements need to reduc... \n", + "\n", + "[246538 rows x 5 columns]" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "documents" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "documents=documents.head(2000)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(2000, 5)" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "documents.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "### Create an embedding function\n", + "\n", + "Note that you can feed a custom embedding function to be used by chromadb. The performance of chromadb may differ depending on the embedding model used." + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "class MiniLML6V2EmbeddingFunction(EmbeddingFunction):\n", + " MODEL = SentenceTransformer('all-MiniLM-L6-v2')\n", + " def __call__(self, texts):\n", + " return MiniLML6V2EmbeddingFunction.MODEL.encode(texts).tolist()\n", + "emb_func = MiniLML6V2EmbeddingFunction()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "### Set up Chroma upsert\n", + "\n", + "Upserting a document means update the document even if it exists in the database. Otherwise re-inserting a document throws an error. This is useful for experimentation purpose." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "class ChromaWithUpsert:\n", + " def __init__(\n", + " self,\n", + " name: Optional[str] = \"watsonx_rag_collection\",\n", + " persist_directory:Optional[str]=None,\n", + " embedding_function: Optional[EmbeddingFunction]=None,\n", + " collection_metadata: Optional[Dict] = None,\n", + " ):\n", + " self._client_settings = chromadb.config.Settings()\n", + " if persist_directory is not None:\n", + " self._client_settings = chromadb.config.Settings(\n", + " chroma_db_impl=\"duckdb+parquet\",\n", + " persist_directory=persist_directory,\n", + " )\n", + " self._client = chromadb.Client(self._client_settings)\n", + " self._embedding_function = embedding_function\n", + " self._persist_directory = persist_directory\n", + " self._name = name\n", + " self._collection = self._client.get_or_create_collection(\n", + " name=self._name,\n", + " embedding_function=self._embedding_function\n", + " if self._embedding_function is not None\n", + " else None,\n", + " metadata=collection_metadata,\n", + " )\n", + "\n", + " def upsert_texts(\n", + " self,\n", + " texts: Iterable[str],\n", + " metadata: Optional[List[dict]] = None,\n", + " ids: Optional[List[str]] = None,\n", + " **kwargs: Any,\n", + " ) -> List[str]:\n", + " \"\"\"Run more texts through the embeddings and add to the vectorstore.\n", + " Args:\n", + " :param texts (Iterable[str]): Texts to add to the vectorstore.\n", + " :param metadatas (Optional[List[dict]], optional): Optional list of metadatas.\n", + " :param ids (Optional[List[str]], optional): Optional list of IDs.\n", + " :param metadata: Optional[List[dict]] - optional metadata (such as title, etc.)\n", + " Returns:\n", + " List[str]: List of IDs of the added texts.\n", + " \"\"\"\n", + " # TODO: Handle the case where the user doesn't provide ids on the Collection\n", + " if ids is None:\n", + " import uuid\n", + " ids = [str(uuid.uuid1()) for _ in texts]\n", + " embeddings = None\n", + " self._collection.upsert(\n", + " metadatas=metadata, documents=texts, ids=ids\n", + " )\n", + " return ids\n", + "\n", + " def is_empty(self):\n", + " return self._collection.count()==0\n", + "\n", + " def persist(self):\n", + " self._client.persist()\n", + "\n", + " def query(self, query_texts:str, n_results:int=5):\n", + " \"\"\"\n", + " Returns the closests vector to the question vector\n", + " :param query_texts: the question\n", + " :param n_results: number of results to generate\n", + " :return: the closest result to the given question\n", + " \"\"\"\n", + " return self._collection.query(query_texts=query_texts, n_results=n_results)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: total: 93.8 ms\n", + "Wall time: 93 ms\n" + ] + } + ], + "source": [ + "%%time\n", + "chroma = ChromaWithUpsert(\n", + " name=f\"nq910_minilm6v2\",\n", + " embedding_function=emb_func, # you can have something here using /embed endpoint\n", + " persist_directory=knowledge_base_dir,\n", + ")\n", + "if chroma.is_empty():\n", + " _ = chroma.upsert_texts(\n", + " texts=documents.combined.tolist(),\n", + " # we handle tokenization, embedding, and indexing automatically. \n", + " #You can skip that and add your own embeddings as well\n", + " metadata=[{'Question': Question,\n", + " 'Patient':Patient,\n", + " 'ids': ids}\n", + " for (Question,Patient,ids) in\n", + " zip(documents.Question,documents.Patient, documents.ids)], # filter on these!\n", + " ids=[str(i) for i in documents.ids], # unique for each doc\n", + " )\n", + " chroma.persist()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "### Embed and index documents with Chroma\n", + "\n", + "**Note: Could take several minutes if you don't have pre-built indices**" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: total: 20.1 s\n", + "Wall time: 16.3 s\n" + ] + } + ], + "source": [ + "%%time\n", + "chroma = ChromaWithUpsert(\n", + " name=f\"nq910_minilm6v2\",\n", + " embedding_function=emb_func, # you can have something here using /embed endpoint\n", + " persist_directory=knowledge_base_dir,\n", + ")\n", + "if chroma.is_empty():\n", + " _ = chroma.upsert_texts(\n", + " texts=documents.combined.tolist(),\n", + " # we handle tokenization, embedding, and indexing automatically. \n", + " #You can skip that and add your own embeddings as well\n", + " metadata=[{'Question': Question, \n", + " 'ids': ids}\n", + " for (Question,ids) in\n", + " zip(documents.Question, documents.ids)], # filter on these!\n", + " ids=[str(i) for i in documents.ids], # unique for each doc\n", + " )\n", + " chroma.persist()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "\n", + "## Foundation Models on Watsonx" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "You need to specify `model_id` that will be used for inferencing." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "**Action**: Use `FLAN_UL2` model." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "from ibm_watson_machine_learning.foundation_models.utils.enums import ModelTypes" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "model_id = ModelTypes.FLAN_UL2" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "\n", + "## Generate a retrieval-augmented response to a question" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "### Select questions\n", + "\n", + "Get questions from the previously loaded test dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Q. Every time I eat spicy food, I poop blood. Why?\n", + "Q. Will Kalarchikai cure multiple ovarian cysts in PCOD?\n", + "Q. Please enlighten me on non-invasive procedures to detect prostate cancer.?\n", + "Q. My sciatica is heavy after a minor herniated disc L4 or L5. Why?\n", + "Q. I feel as if the skin over my belly button is firm. Is it hernia?\n", + "Q. A white patch has been formed at the tip of the penis associated with skin tightness. Why?\n", + "Q. I masturbate only by rubbing the tip of the penis. Is it a wrong way?\n", + "Q. Every time I eat spicy food, I poop blood. Why?\n", + "Q. Please provide opinion on my complete blood count report.?\n", + "Q. My child got hurt while playing. Can we use T-Bact or Neosporin ointment?\n", + "Q. Please comment on the severity of my wife's wrist x-ray.?\n", + "Q. Why am I having extreme bloating, abdominal pain, and fatigue with scaly marks?\n", + "Q. I masturbate only by rubbing the tip of the penis. Is it a wrong way?\n", + "Q. What can be done for tender and itchy red spots on hands?\n", + "Q. Will Kalarchikai cure multiple ovarian cysts in PCOD?\n", + "Q. Does swollen lymphnode everywhere in the body mean cancer?\n", + "Q. What are the tests I have to undergo after having unprotected oral sex?\n", + "Q. Every time I eat spicy food, I poop blood. Why?\n", + "Q. Is Bimatoprost safe enough for optical nerve damage?\n", + "Q. Every time I eat spicy food, I poop blood. Why?\n", + "Q. 18 weeks pregnant woman used spray pesticide. Is it harmful for the baby?\n", + "Q. I masturbate only by rubbing the tip of the penis. Is it a wrong way?\n", + "Q. Delayed periods even after taking Gestin. What is the reason?\n", + "Q. My mother had TB meningitis and is now suspected to have tubercular spine. Help.?\n", + "Q. I masturbate only by rubbing the tip of the penis. Is it a wrong way?\n", + "Q. I masturbate only by rubbing the tip of the penis. Is it a wrong way?\n", + "Q. I had a surgery which ended up with some failures. What can I do to fix it?\n", + "Q. I am having small black spots on my toenail. Does it indicate melanoma?\n", + "Q. What is the cause for itching of face and chest after sex?\n", + "Q. My left hip is completely fused. Can we have a healthy baby?\n", + "Q. Should I continue the Olanzapine as I had a blackout episode when I was drunken?\n", + "Q. I am suffering from stomach cramps and diarrhea. What should I do?\n", + "Q. I am consuming Codeine. Will this affect conceiving?\n", + "Q. Is it normal to have cobblestone appearance at the back of throat after tonsillectomy?\n", + "Q. After lying on stomach for 20 minutes, I get most intense headache. Is this brain aneurysm?\n", + "Q. What are the chances of me to get pregnant after taking i-pill?\n", + "Q. Are my symptoms due to HIV infection? I had a high-risk exposure 15 months ago.?\n", + "Q. Will Nano-Leo give permanent solution for erection problem?\n", + "Q. I have erectile dysfunction inspite of having L-Arginine. Kindly advice.?\n", + "Q. What does abutment of the nerve root mean?\n", + "Q. Every time I eat spicy food, I poop blood. Why?\n", + "Q. Are my symptoms suggestive of schizophrenia or OCD?\n", + "Q. Every time I eat spicy food, I poop blood. Why?\n", + "Q. Why do I get wrinkles on the glans penis after using Lobate cream for pimples?\n", + "Q. Will Nano-Leo give permanent solution for erection problem?\n", + "Q. Sometimes, I get palpitations, low BP and low sugar blackouts. Please advise.?\n", + "Q. Will Nano-Leo give permanent solution for erection problem?\n", + "Q. I masturbate only by rubbing the tip of the penis. Is it a wrong way?\n", + "Q. Why is there a discomfort in my gums where the wisdom tooth is piercing them?\n", + "Q. Does side effect of the anxiety drug diminishes the memory?\n" + ] + } + ], + "source": [ + "question_texts = [q.strip(\"?\") + \"?\" for q in test_data['Question'].tolist()]\n", + "print(\"\\n\".join(question_texts))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "### Retrieve relevant context\n", + "\n", + "Fetch paragraphs similar to the question." + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "relevant_contexts = []\n", + "\n", + "for question_text in question_texts:\n", + " relevant_chunks = chroma.query(\n", + " query_texts=[question_text],\n", + " n_results=5,\n", + " )\n", + " relevant_contexts.append(relevant_chunks)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "Get the set of chunks for one of the questions." + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "=========\n", + "Paragraph index : 10\n", + "Paragraph : Question: Q. Every time I eat spicy food, I poop blood. Why?\n", + " Answer: Hello. I have gone through your information and test reports (attachment removed to protect patient identity). So, in view of that, there are a couple of things that I can opine upon: Hope that helps. For more information consult a general surgeon online -->\n", + "Distance : 0.23510286211967468\n", + "=========\n", + "Paragraph index : 2968\n", + "Paragraph : Question: Q. Why is there burning sensation after passing stools?\n", + " Answer: Hello. Intake of spicy food may cause burning sensation and irritation of anal mucosa which may lead to a burning pain during defecation. It is due to the spiciness of the food. You may try yogurt, cucumber, tender coconut water, probiotic capsules, buttermilk. Use tablet Nexium before breakfast for one week. Avoid spicy food intake. If symptoms do not improve, please consult a physician or post me a query.\n", + "Distance : 0.7934628129005432\n", + "=========\n", + "Paragraph index : 397\n", + "Paragraph : Question: Q. Can you explain the reason behind burning sensation of gums?\n", + " Answer: Hi. Hurting of gums while taking spicy food might be due to the following causes: 1. Gingivitis (swelling and inflammation of the gums) - Swollen gums may be painful and may cause burning sensation and pain while taking hot and spicy food. Gingivitis occurs due to either plaque or other debris accumulating around the teeth and gums. Also hormonal changes occurring during menstrual cycle can cause swollen and painful gums. Any medicines taken for medical issues like hypertension, epilepsy, etc., also cause gum changes and swelling. 2. Any ulcers in the mouth will get hurt while taking hot and spicy food. Ulcers might occur due to faulty tooth brushing techniques, usage of toothbrushes with hard bristles, stress, sharp tooth hurting the tissues, any dental appliances or ill-fitting dentures. 3. Any abscess related to infected tooth might also hurt while taking spicy food. But, you have mentioned that you do not have any cavities or teeth issues. Have you been examined by a dentist regarding this? 4. Any impacted tooth (teeth that remain unerupted due to inadequate space inside the mouth or remain inside the bone itself) may develop swelling of gums around it. When the opposing teeth impinges on this swollen tissue while taking spicy food it gets hurt. 5. Hypersensitivity reactions may occur to certain foods. This might cause swelling, reddening and burning sensation of the mouth. This may occur due to some food additives. 6. Habits like smoking and usage of tobacco products may also cause burning sensation while consuming spicy and hot food. 7. Dental procedures like scaling (cleaning of teeth) might cause minor tissue injuries. These hurt and cause burning sensation while taking hot and spicy food. But, this heals in 4-5 days after cleaning. In your case, this might not be the reason, as you have undergone scaling before 2-3 years. 1. Get dental scaling done, if you have any plaque or calculus deposits causing swollen gums. 2. Get your oral cavity examined by your dentist, for any ulcers, abscesses, infected teeth and impacted teeth. 3. Also get checked for any sharp teeth and any dental appliances or ill-fitting dentures. If found, sharp teeth have to be trimmed and reduced, and ill-fitting dentures and dental appliances have to be corrected immediately. 1. Kindly make a note if you develop any gum swelling, redness or bleeding gums during your periods. 2. Use toothbrushes with soft bristles for brushing your teeth. Also follow the proper brushing technique for brushing your teeth. 3. Make a note whenever your gum hurts and what foods hurt your gums. Check if any food causes the same issue repeatedly. In case, if that food contains some additive that causes hypersensitive reaction, then you may have to avoid that particular food in future. 4.Quit habits like smoking or usage of other tobacco products (in case you do). For further information consult a dentist online.--->\n", + "Distance : 0.9654074907302856\n", + "=========\n", + "Paragraph index : 2873\n", + "Paragraph : Question: Q. How can blood in stool be managed?\n", + " Answer: Hello. You may be suffering from constipation with internal hemorrhoids or fissure in ano. You have to avoid spicy food, low fiber diet. Use high fiber diet with plenty of liquids. Use Metamucil or Benefiber for stool bulk formation. Do regular exercise and yoga. If symptoms not improved you may use syrup Lactulose 30 ml after dinner for five days if necessary. If symptoms do not improve or develop an allergy to the above drug, please consult your physician. He will examine and treat you accordingly. Take care.\n", + "Distance : 0.998435914516449\n", + "=========\n", + "Paragraph index : 1547\n", + "Paragraph : Question: Q. I have a muscular thing right out of my anus. What it could be?\n", + " Answer: Hello. It is anal hemorrhoids (attachment removed to protect patient identity), and it is very painful. You may be suffering from constipation, or you must have been eating very spicy food. The treatment is sitz bath, and it means you have to sit in a tub full of warm water. It gets relieved, and you have to do this for two to three times a day. Kindly consult your doctor to discuss the suggestion and take the treatment with consent. You may apply ointment Pilex over the area. Stop eating spicy food and take syrup Duphalac (Lactulose) two spoons daily at bedtime to avoid constipation. If it is not relieved, then you have to consult a general surgeon.\n", + "Distance : 1.0564740896224976\n" + ] + } + ], + "source": [ + "sample_chunks = relevant_contexts[0]\n", + "for i, chunk in enumerate(sample_chunks['documents'][0]):\n", + " print(\"=========\")\n", + " print(\"Paragraph index : \", sample_chunks['ids'][0][i])\n", + " print(\"Paragraph : \", chunk)\n", + " print(\"Distance : \", sample_chunks['distances'][0][i])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "### Feed the context and the questions to `watsonx.ai` model." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Define instructions for the model.\n", + "\n", + "**Note:** Please start with finding better prompts using small subset of training records (under `train_data` variable). Make sure to not run an inference of all of `train_data`, as it'll take a long time to get the results. To get a sample from `train_data`, you can use e.g.`train_data.head(n=10)` to get first 10 records, or `train_data.sample(n=10)` to get random 10 records. Only once you have identified the best performing prompt, update this notebook to use the prompt and compute the metrics on the test data.\n", + "\n", + "**Action:** Please edit the below cell and add your own prompt here. In the below prompt, we have the instruction (first sentence) and one example included in the prompt. If you want to change the prompt or add your own examples or more examples, please change the below prompt accordingly." + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "def make_prompt(context, question_text):\n", + " return (f\"Please answer the following.\\n\"\n", + " + f\"{context}:\\n\\n\"\n", + " + f\"{question_text}\")\n", + "\n", + "prompt_texts = []\n", + "\n", + "for relevant_context, question_text in zip(relevant_contexts, question_texts):\n", + " context = \"\\n\\n\\n\".join(relevant_context[\"documents\"][0])\n", + " prompt_text = make_prompt(context, question_text)\n", + " prompt_texts.append(prompt_text)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "Inspect prompt for sample question." + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Please answer the following.\n", + "Question: Q. Every time I eat spicy food, I poop blood. Why?\n", + " Answer: Hello. I have gone through your information and test reports (attachment removed to protect patient identity). So, in view of that, there are a couple of things that I can opine upon: Hope that helps. For more information consult a general surgeon online -->\n", + "\n", + "\n", + "Question: Q. Why is there burning sensation after passing stools?\n", + " Answer: Hello. Intake of spicy food may cause burning sensation and irritation of anal mucosa which may lead to a burning pain during defecation. It is due to the spiciness of the food. You may try yogurt, cucumber, tender coconut water, probiotic capsules, buttermilk. Use tablet Nexium before breakfast for one week. Avoid spicy food intake. If symptoms do not improve, please consult a physician or post me a query.\n", + "\n", + "\n", + "Question: Q. Can you explain the reason behind burning sensation of gums?\n", + " Answer: Hi. Hurting of gums while taking spicy food might be due to the following causes: 1. Gingivitis (swelling and inflammation of the gums) - Swollen gums may be painful and may cause burning sensation and pain while taking hot and spicy food. Gingivitis occurs due to either plaque or other debris accumulating around the teeth and gums. Also hormonal changes occurring during menstrual cycle can cause swollen and painful gums. Any medicines taken for medical issues like hypertension, epilepsy, etc., also cause gum changes and swelling. 2. Any ulcers in the mouth will get hurt while taking hot and spicy food. Ulcers might occur due to faulty tooth brushing techniques, usage of toothbrushes with hard bristles, stress, sharp tooth hurting the tissues, any dental appliances or ill-fitting dentures. 3. Any abscess related to infected tooth might also hurt while taking spicy food. But, you have mentioned that you do not have any cavities or teeth issues. Have you been examined by a dentist regarding this? 4. Any impacted tooth (teeth that remain unerupted due to inadequate space inside the mouth or remain inside the bone itself) may develop swelling of gums around it. When the opposing teeth impinges on this swollen tissue while taking spicy food it gets hurt. 5. Hypersensitivity reactions may occur to certain foods. This might cause swelling, reddening and burning sensation of the mouth. This may occur due to some food additives. 6. Habits like smoking and usage of tobacco products may also cause burning sensation while consuming spicy and hot food. 7. Dental procedures like scaling (cleaning of teeth) might cause minor tissue injuries. These hurt and cause burning sensation while taking hot and spicy food. But, this heals in 4-5 days after cleaning. In your case, this might not be the reason, as you have undergone scaling before 2-3 years. 1. Get dental scaling done, if you have any plaque or calculus deposits causing swollen gums. 2. Get your oral cavity examined by your dentist, for any ulcers, abscesses, infected teeth and impacted teeth. 3. Also get checked for any sharp teeth and any dental appliances or ill-fitting dentures. If found, sharp teeth have to be trimmed and reduced, and ill-fitting dentures and dental appliances have to be corrected immediately. 1. Kindly make a note if you develop any gum swelling, redness or bleeding gums during your periods. 2. Use toothbrushes with soft bristles for brushing your teeth. Also follow the proper brushing technique for brushing your teeth. 3. Make a note whenever your gum hurts and what foods hurt your gums. Check if any food causes the same issue repeatedly. In case, if that food contains some additive that causes hypersensitive reaction, then you may have to avoid that particular food in future. 4.Quit habits like smoking or usage of other tobacco products (in case you do). For further information consult a dentist online.--->\n", + "\n", + "\n", + "Question: Q. How can blood in stool be managed?\n", + " Answer: Hello. You may be suffering from constipation with internal hemorrhoids or fissure in ano. You have to avoid spicy food, low fiber diet. Use high fiber diet with plenty of liquids. Use Metamucil or Benefiber for stool bulk formation. Do regular exercise and yoga. If symptoms not improved you may use syrup Lactulose 30 ml after dinner for five days if necessary. If symptoms do not improve or develop an allergy to the above drug, please consult your physician. He will examine and treat you accordingly. Take care.\n", + "\n", + "\n", + "Question: Q. I have a muscular thing right out of my anus. What it could be?\n", + " Answer: Hello. It is anal hemorrhoids (attachment removed to protect patient identity), and it is very painful. You may be suffering from constipation, or you must have been eating very spicy food. The treatment is sitz bath, and it means you have to sit in a tub full of warm water. It gets relieved, and you have to do this for two to three times a day. Kindly consult your doctor to discuss the suggestion and take the treatment with consent. You may apply ointment Pilex over the area. Stop eating spicy food and take syrup Duphalac (Lactulose) two spoons daily at bedtime to avoid constipation. If it is not relieved, then you have to consult a general surgeon.:\n", + "\n", + "Q. Every time I eat spicy food, I poop blood. Why?\n" + ] + } + ], + "source": [ + "print(prompt_texts[0])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "### Defining the model parameters\n", + "We need to provide a set of model parameters that will influence the result:" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "from ibm_watson_machine_learning.metanames import GenTextParamsMetaNames as GenParams\n", + "from ibm_watson_machine_learning.foundation_models.utils.enums import DecodingMethods\n", + "\n", + "parameters = {\n", + " GenParams.DECODING_METHOD: DecodingMethods.GREEDY,\n", + " GenParams.MIN_NEW_TOKENS: 1,\n", + " GenParams.MAX_NEW_TOKENS: 200\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "Initialize the `Model` class." + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "#this cell should never fail, and will produce no output\n", + "import requests\n", + "\n", + "def getBearer(apikey):\n", + " form = {'apikey': apikey, 'grant_type': \"urn:ibm:params:oauth:grant-type:apikey\"}\n", + " print(\"About to create bearer\")\n", + "# print(form)\n", + " response = requests.post(\"https://iam.cloud.ibm.com/oidc/token\", data = form)\n", + " if response.status_code != 200:\n", + " print(\"Bad response code retrieving token\")\n", + " raise Exception(\"Failed to get token, invalid status\")\n", + " json = response.json()\n", + " if not json:\n", + " print(\"Invalid/no JSON retrieving token\")\n", + " raise Exception(\"Failed to get token, invalid response\")\n", + " print(\"Bearer retrieved\")\n", + " return json.get(\"access_token\")" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "About to create bearer\n", + "Bearer retrieved\n" + ] + } + ], + "source": [ + "credentials[\"token\"] = getBearer(credentials[\"apikey\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "from ibm_watson_machine_learning.foundation_models import Model\n", + "model = Model(\n", + " model_id=model_id,\n", + " params=parameters,\n", + " credentials=credentials,\n", + " project_id=project_id)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "### Generate a retrieval-augmented response" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Note:** Execution of this cell could take several minutes." + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Please answer the following.\\nQuestion: Q. Every time I eat spicy food, I poop blood. Why?\\n Answer: Hello. I have gone through your information and test reports (attachment removed to protect patient identity). So, in view of that, there are a couple of things that I can opine upon: Hope that helps. For more information consult a general surgeon online -->\\n\\n\\nQuestion: Q. Why is there burning sensation after passing stools?\\n Answer: Hello. Intake of spicy food may cause burning sensation and irritation of anal mucosa which may lead to a burning pain during defecation. It is due to the spiciness of the food. You may try yogurt, cucumber, tender coconut water, probiotic capsules, buttermilk. Use tablet Nexium before breakfast for one week. Avoid spicy food intake. If symptoms do not improve, please consult a physician or post me a query.\\n\\n\\nQuestion: Q. Can you explain the reason behind burning sensation of gums?\\n Answer: Hi. Hurting of gums while taking spicy food might be due to the following causes: 1. Gingivitis (swelling and inflammation of the gums) - Swollen gums may be painful and may cause burning sensation and pain while taking hot and spicy food. Gingivitis occurs due to either plaque or other debris accumulating around the teeth and gums. Also hormonal changes occurring during menstrual cycle can cause swollen and painful gums. Any medicines taken for medical issues like hypertension, epilepsy, etc., also cause gum changes and swelling. 2. Any ulcers in the mouth will get hurt while taking hot and spicy food. Ulcers might occur due to faulty tooth brushing techniques, usage of toothbrushes with hard bristles, stress, sharp tooth hurting the tissues, any dental appliances or ill-fitting dentures. 3. Any abscess related to infected tooth might also hurt while taking spicy food. But, you have mentioned that you do not have any cavities or teeth issues. Have you been examined by a dentist regarding this? 4. Any impacted tooth (teeth that remain unerupted due to inadequate space inside the mouth or remain inside the bone itself) may develop swelling of gums around it. When the opposing teeth impinges on this swollen tissue while taking spicy food it gets hurt. 5. Hypersensitivity reactions may occur to certain foods. This might cause swelling, reddening and burning sensation of the mouth. This may occur due to some food additives. 6. Habits like smoking and usage of tobacco products may also cause burning sensation while consuming spicy and hot food. 7. Dental procedures like scaling (cleaning of teeth) might cause minor tissue injuries. These hurt and cause burning sensation while taking hot and spicy food. But, this heals in 4-5 days after cleaning. In your case, this might not be the reason, as you have undergone scaling before 2-3 years. 1. Get dental scaling done, if you have any plaque or calculus deposits causing swollen gums. 2. Get your oral cavity examined by your dentist, for any ulcers, abscesses, infected teeth and impacted teeth. 3. Also get checked for any sharp teeth and any dental appliances or ill-fitting dentures. If found, sharp teeth have to be trimmed and reduced, and ill-fitting dentures and dental appliances have to be corrected immediately. 1. Kindly make a note if you develop any gum swelling, redness or bleeding gums during your periods. 2. Use toothbrushes with soft bristles for brushing your teeth. Also follow the proper brushing technique for brushing your teeth. 3. Make a note whenever your gum hurts and what foods hurt your gums. Check if any food causes the same issue repeatedly. In case, if that food contains some additive that causes hypersensitive reaction, then you may have to avoid that particular food in future. 4.Quit habits like smoking or usage of other tobacco products (in case you do). For further information consult a dentist online.--->\\n\\n\\nQuestion: Q. How can blood in stool be managed?\\n Answer: Hello. You may be suffering from constipation with internal hemorrhoids or fissure in ano. You have to avoid spicy food, low fiber diet. Use high fiber diet with plenty of liquids. Use Metamucil or Benefiber for stool bulk formation. Do regular exercise and yoga. If symptoms not improved you may use syrup Lactulose 30 ml after dinner for five days if necessary. If symptoms do not improve or develop an allergy to the above drug, please consult your physician. He will examine and treat you accordingly. Take care.\\n\\n\\nQuestion: Q. I have a muscular thing right out of my anus. What it could be?\\n Answer: Hello. It is anal hemorrhoids (attachment removed to protect patient identity), and it is very painful. You may be suffering from constipation, or you must have been eating very spicy food. The treatment is sitz bath, and it means you have to sit in a tub full of warm water. It gets relieved, and you have to do this for two to three times a day. Kindly consult your doctor to discuss the suggestion and take the treatment with consent. You may apply ointment Pilex over the area. Stop eating spicy food and take syrup Duphalac (Lactulose) two spoons daily at bedtime to avoid constipation. If it is not relieved, then you have to consult a general surgeon.:\\n\\nQ. Every time I eat spicy food, I poop blood. Why?']" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prompt_texts[:1]" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(prompt_texts[:1])" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "results = []\n", + "for prompt_text in prompt_texts[:1]:\n", + " results.append(model.generate_text(prompt=prompt_text))" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "#test_data" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Question = Q. Every time I eat spicy food, I poop blood. Why?\n", + "Answer = Hello. I have gone through your information and test reports (attachment removed to protect patient identity). So, in view of that, there are a couple of things that I can opine upon: Hope that helps. For more information consult a general surgeon online -->\n", + "Expected Answer(s) (may not be appear with exact wording in the dataset) = Hello. I have gone through your information and test reports (attachment removed to protect patient identity). So, in view of that, there are a couple of things that I can opine upon: Hope that helps. For more information consult a general surgeon online -->\n", + "\n", + "\n" + ] + } + ], + "source": [ + "for idx, result in enumerate(results):\n", + " print(\"Question = \", test_data.iloc[idx]['Question'])\n", + " print(\"Answer = \", result)\n", + " print(\"Expected Answer(s) (may not be appear with exact wording in the dataset) = \", test_data.iloc[idx]['Answer'])\n", + " print(\"\\n\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "\n", + "## Calculate rougeL metric" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this sample notebook `rouge_score` module was used for rougeL calculation." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "#### Rouge Metric" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "pycharm": { + "name": "#%% md\n" + } + }, + "source": [ + "**Note:** The Rouge (Recall-Oriented Understudy for Gisting Evaluation) metric is a set of evaluation measures used in natural language processing (NLP) and specifically in text summarization and machine translation tasks. The Rouge metrics are designed to assess the quality of generated summaries or translations by comparing them to one or more reference texts.\n", + "\n", + "The main idea behind Rouge is to measure the overlap between the generated summary (or translation) and the reference text(s) in terms of n-grams or longest common subsequences. By calculating recall, precision, and F1 scores based on these overlapping units, Rouge provides a quantitative assessment of the summary's content overlap with the reference(s).\n", + "\n", + "Rouge-1 focuses on individual word overlap, Rouge-2 considers pairs of consecutive words, and Rouge-L takes into account the ordering of words and phrases. These metrics provide different perspectives on the similarity between two texts and can be used to evaluate different aspects of summarization or text generation models." + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "from rouge_score import rouge_scorer\n", + "from collections import defaultdict\n", + "import numpy as np\n", + "\n", + "def get_rouge_score(predictions, references):\n", + " scorer = rouge_scorer.RougeScorer(['rouge1', 'rouge2', 'rougeL', 'rougeLsum'])\n", + " aggregate_score = defaultdict(list)\n", + "\n", + " for result, ref in zip(predictions, references):\n", + " for key, val in scorer.score(result, ref).items():\n", + " aggregate_score[key].append(val.fmeasure)\n", + "\n", + " scores = {}\n", + " for key in aggregate_score:\n", + " scores[key] = np.mean(aggregate_score[key])\n", + " \n", + " return scores" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'rouge1': 1.0, 'rouge2': 1.0, 'rougeL': 1.0, 'rougeLsum': 1.0}\n" + ] + } + ], + "source": [ + "print(get_rouge_score(results, test_data.Answer))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python3 (GPT)", + "language": "python", + "name": "gpt" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/ai-medical-chatbot-master/3-Modeling/README.md b/ai-medical-chatbot-master/3-Modeling/README.md new file mode 100644 index 0000000000000000000000000000000000000000..d66689e4ce2314bc2cc528a1cff53b72e049b4a8 --- /dev/null +++ b/ai-medical-chatbot-master/3-Modeling/README.md @@ -0,0 +1,166 @@ +# Part 3 - Modeling of Free Doctor with AI + +[back](../README.md) + +To provide a more accurate diagnosis for each patient, it is necessary to analyze the data flow. The standard procedure for a doctor is as follows: + +1. Generating the comprehensive clinical history, including anamnesis. +2. Classifying the health problem based on the relevant medical area. If needed, a customized clinical history can be developed in greater detail. +3. Providing a complete patient description, including their symptoms and specific concerns. +4. Based on the patient's situation and the gathered information, a general medical diagnosis can be made. +5. If necessary, further evaluation for specific cases can be conducted, repeating step 4. + +It is strongly recommended to maintain a clinical history for every patient treated within this program. + +## Modeling of Doctor AI + +The first step is the preprocessing of the data + +### [3_1-Preproces.ipynb](https://github.com/ruslanmv/Free-Doctor-with-Artificial-Intelligence/blob/master/3-Modeling/3_1-Preproces.ipynb) + +The second step is the clustering of the cases. Can be useful to understand better our data. + +### [3_2-Clustering.ipynb](https://github.com/ruslanmv/Free-Doctor-with-Artificial-Intelligence/blob/master/3-Modeling/3_2-Clustering.ipynb) + +The third step is classical feature engineering, here we should create a syntenic clinical history for each visit of with the AI doctor. + +For future releases our raw data must be included as a part of the model. + +Due to lack of data we create a synthetic clinical history based on the description of the patient. + +### [3_3-Features.ipynb](https://github.com/ruslanmv/Free-Doctor-with-Artificial-Intelligence/blob/master/3-Modeling/3_3-Features.ipynb) + +Having the data well built. + +Features + Description + Patient + Answer + +Is simply build a model to answer custom questions. + +### [3_4-Generative.ipynb](https://github.com/ruslanmv/Free-Doctor-with-Artificial-Intelligence/blob/master/3-Modeling/3_4-Generative.ipynb) + +# Additional Notes + +## General clinical history + +A clinical history is an essential component of a patient's medical record and provides a concise overview of the patient's medical background, including their past illnesses, surgeries, medications, allergies, and family medical history. Here's a sample format for a clinical history: + +``` +[Patient Information] +- Full Name: [Patient's Full Name] +- Date of Birth: [Patient's Date of Birth] +- Gender: [Patient's Gender] +- Address: [Patient's Address] +- Phone Number: [Patient's Contact Number] + +[Chief Complaint] +- [Description of the patient's main reason for seeking medical attention] + +[Present Illness] +- [Detailed description of the current illness or symptoms, including their onset, duration, severity, and any relevant factors] + +[Medical History] +- Past Medical Conditions: + - [List any significant medical conditions the patient has had, including dates of diagnosis] +- Surgeries/Procedures: + - [List any surgeries or medical procedures the patient has undergone, including dates] +- Medications: + - [List current medications, dosages, and frequency] +- Allergies: + - [List any allergies the patient has, including medication, food, or environmental allergies] +- Immunizations: + - [Include information on relevant vaccinations and their dates] + +[Family Medical History] +- [List any significant medical conditions that run in the patient's family, such as heart disease, diabetes, cancer, etc.] + +[Social History] +- Occupation: [Patient's occupation] +- Tobacco Use: [Specify if the patient smokes or uses tobacco products] +- Alcohol Use: [Specify if the patient consumes alcohol and if so, how often and in what quantities] +- Drug Use: [Specify if the patient uses recreational drugs or has a history of drug use] +- Diet: [Provide information about the patient's dietary habits, including any special diets] +- Exercise: [Describe the patient's level of physical activity] + +[Review of Systems] +- [List and briefly describe the patient's symptoms or concerns related to various body systems, including cardiovascular, respiratory, gastrointestinal, musculoskeletal, etc.] + +[Social and Environmental History] +- [Include information about the patient's living situation, relationships, and any environmental factors that may be relevant to their health] + +[Psychosocial History] +- [Note any significant mental health history or psychosocial stressors] + +[Sexual History] +- [Include relevant sexual history information if applicable] + +[Substance Use History] +- [Detail any history of alcohol or substance abuse, if applicable] + +[Physical Examination Findings] +- [Summarize any relevant physical examination findings, including vital signs, general appearance, and specific organ system assessments] + +[Assessment and Plan] +- [Provide a brief assessment of the patient's current medical condition and a plan for further evaluation and treatment] + +[Provider's Name and Credentials] +- [Name of the healthcare provider] +- [Credentials, such as MD, DO, NP, PA] + +[Date] +- [Date of the clinical history] + +[Signature] +- [Signature of the healthcare provider] +``` + +This format can be customized to fit the specific requirements of a healthcare facility or the preferences of the healthcare provider. It should be thorough and comprehensive to ensure that all relevant information is documented accurately. + +## How to use Bert + +We can install Sentence BERT using: + +``` +!pip install sentence-transformers +``` + +#### Step 1: + +We will then load the pre-trained BERT model. There are many other pre-trained models available. You can find the full list of models [here.](https://github.com/UKPLab/sentence-transformers/blob/master/docs/pretrained-models/sts-models.md) + +```python +from sentence_transformers import SentenceTransformer +sbert_model = SentenceTransformer('bert-base-nli-mean-tokens') +``` + +#### Step 2: + +We will then encode the provided sentences. We can also display the sentence vectors(just uncomment the code below) + +```python +sentence_embeddings = model.encode(sentences) +#print('Sample BERT embedding vector - length', len(sentence_embeddings[0])) +#print('Sample BERT embedding vector - note includes negative values', sentence_embeddings[0]) +``` + +#### + +#### Step 3: + +Then we will define a test query and encode it as well: + +```python +query = "I had pizza and pasta" +query_vec = model.encode([query])[0] +``` + +#### Step 4: + +We will then compute the cosine similarity using scipy. We will retrieve the similarity values between the sentences and our test query: + +```python +for sent in sentences: + sim = cosine(query_vec, model.encode([sent])[0]) + print("Sentence = ", sent, "; similarity = ", sim) +``` + +There you go, we have obtained the similarity between the sentences in our text and our test sentence. A crucial point to note is that SentenceBERT is pretty slow if you want to train it from scratch. \ No newline at end of file diff --git a/ai-medical-chatbot-master/3-Modeling/credentials/api.json b/ai-medical-chatbot-master/3-Modeling/credentials/api.json new file mode 100644 index 0000000000000000000000000000000000000000..68636c61f7e2229c5bc1054a163df4879feaa837 --- /dev/null +++ b/ai-medical-chatbot-master/3-Modeling/credentials/api.json @@ -0,0 +1,6 @@ +{ + "OPENAI_API_KEY": "sk-", + "IBM_CLOUD_API": "", + "PROJECT_ID": "" + +} \ No newline at end of file diff --git a/ai-medical-chatbot-master/3-Modeling/tools/Clustering.ipynb b/ai-medical-chatbot-master/3-Modeling/tools/Clustering.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..14ec59f44c44690ea3e0fcb82d6cc5be5df86a11 --- /dev/null +++ b/ai-medical-chatbot-master/3-Modeling/tools/Clustering.ipynb @@ -0,0 +1,430 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Clustering\n", + "\n", + "We use a simple k-means algorithm to demonstrate how clustering can be done. Clustering can help discover valuable, hidden groupings within the data. The dataset is created in the [Obtain_dataset Notebook](Obtain_dataset.ipynb)." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1000, 1536)" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# imports\n", + "import numpy as np\n", + "import pandas as pd\n", + "from ast import literal_eval\n", + "\n", + "# load data\n", + "datafile_path = \"./data/fine_food_reviews_with_embeddings_1k.csv\"\n", + "\n", + "df = pd.read_csv(datafile_path)\n", + "df[\"embedding\"] = df.embedding.apply(literal_eval).apply(np.array) # convert string to numpy array\n", + "matrix = np.vstack(df.embedding.values)\n", + "matrix.shape\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Unnamed: 0ProductIdUserIdScoreSummaryTextcombinedn_tokensembedding
00B003XPF9BOA3R7JR3FMEBXQB5where does one start...and stop... with a tre...Wanted to save some to bring to my Chicago fam...Title: where does one start...and stop... wit...52[0.007018072064965963, -0.02731654793024063, 0...
1297B003VXHGPKA21VWSCGW7UUAR4Good, but not Wolfgang Puck goodHonestly, I have to admit that I expected a li...Title: Good, but not Wolfgang Puck good; Conte...178[-0.003140551969408989, -0.009995664469897747,...
2296B008JKTTUAA34XBAIFT02B601Should advertise coconut as an ingredient more...First, these should be called Mac - Coconut ba...Title: Should advertise coconut as an ingredie...78[-0.01757248118519783, -8.266511576948687e-05,...
3295B000LKTTTWA14MQ40CCU8B135Best tomato soupI have a hard time finding packaged food of an...Title: Best tomato soup; Content: I have a har...111[-0.0013932279543951154, -0.011112828738987446...
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" + ], + "text/plain": [ + " Unnamed: 0 ProductId UserId Score \\\n", + "0 0 B003XPF9BO A3R7JR3FMEBXQB 5 \n", + "1 297 B003VXHGPK A21VWSCGW7UUAR 4 \n", + "2 296 B008JKTTUA A34XBAIFT02B60 1 \n", + "3 295 B000LKTTTW A14MQ40CCU8B13 5 \n", + "4 294 B001D09KAM A34XBAIFT02B60 1 \n", + "\n", + " Summary \\\n", + "0 where does one start...and stop... with a tre... \n", + "1 Good, but not Wolfgang Puck good \n", + "2 Should advertise coconut as an ingredient more... \n", + "3 Best tomato soup \n", + "4 Should advertise coconut as an ingredient more... \n", + "\n", + " Text \\\n", + "0 Wanted to save some to bring to my Chicago fam... \n", + "1 Honestly, I have to admit that I expected a li... \n", + "2 First, these should be called Mac - Coconut ba... \n", + "3 I have a hard time finding packaged food of an... \n", + "4 First, these should be called Mac - Coconut ba... \n", + "\n", + " combined n_tokens \\\n", + "0 Title: where does one start...and stop... wit... 52 \n", + "1 Title: Good, but not Wolfgang Puck good; Conte... 178 \n", + "2 Title: Should advertise coconut as an ingredie... 78 \n", + "3 Title: Best tomato soup; Content: I have a har... 111 \n", + "4 Title: Should advertise coconut as an ingredie... 78 \n", + "\n", + " embedding \n", + "0 [0.007018072064965963, -0.02731654793024063, 0... \n", + "1 [-0.003140551969408989, -0.009995664469897747,... \n", + "2 [-0.01757248118519783, -8.266511576948687e-05,... \n", + "3 [-0.0013932279543951154, -0.011112828738987446... \n", + "4 [-0.01757248118519783, -8.266511576948687e-05,... " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1. Find the clusters using K-means" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We show the simplest use of K-means. You can pick the number of clusters that fits your use case best." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/ted/.virtualenvs/openai/lib/python3.9/site-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n", + " warnings.warn(\n" + ] + }, + { + "data": { + "text/plain": [ + "Cluster\n", + "0 4.105691\n", + "1 4.191176\n", + "2 4.215613\n", + "3 4.306590\n", + "Name: Score, dtype: float64" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.cluster import KMeans\n", + "\n", + "n_clusters = 4\n", + "\n", + "kmeans = KMeans(n_clusters=n_clusters, init=\"k-means++\", random_state=42)\n", + "kmeans.fit(matrix)\n", + "labels = kmeans.labels_\n", + "df[\"Cluster\"] = labels\n", + "\n", + "df.groupby(\"Cluster\").Score.mean().sort_values()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Clusters identified visualized in language 2d using t-SNE')" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from sklearn.manifold import TSNE\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "tsne = TSNE(n_components=2, perplexity=15, random_state=42, init=\"random\", learning_rate=200)\n", + "vis_dims2 = tsne.fit_transform(matrix)\n", + "\n", + "x = [x for x, y in vis_dims2]\n", + "y = [y for x, y in vis_dims2]\n", + "\n", + "for category, color in enumerate([\"purple\", \"green\", \"red\", \"blue\"]):\n", + " xs = np.array(x)[df.Cluster == category]\n", + " ys = np.array(y)[df.Cluster == category]\n", + " plt.scatter(xs, ys, color=color, alpha=0.3)\n", + "\n", + " avg_x = xs.mean()\n", + " avg_y = ys.mean()\n", + "\n", + " plt.scatter(avg_x, avg_y, marker=\"x\", color=color, s=100)\n", + "plt.title(\"Clusters identified visualized in language 2d using t-SNE\")\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Visualization of clusters in a 2d projection. In this run, the green cluster (#1) seems quite different from the others. Let's see a few samples from each cluster." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2. Text samples in the clusters & naming the clusters\n", + "\n", + "Let's show random samples from each cluster. We'll use text-davinci-003 to name the clusters, based on a random sample of 5 reviews from that cluster." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cluster 0 Theme: All of the reviews are positive and the customers are satisfied with the product they purchased.\n", + "5, Loved these gluten free healthy bars, saved $$ ordering on Amazon: These Kind Bars are so good and healthy & gluten free. My daughter ca\n", + "1, Should advertise coconut as an ingredient more prominently: First, these should be called Mac - Coconut bars, as Coconut is the #2\n", + "5, very good!!: just like the runts
great flavor, def worth getting
I even o\n", + "5, Excellent product: After scouring every store in town for orange peels and not finding an\n", + "5, delicious: Gummi Frogs have been my favourite candy that I have ever tried. of co\n", + "----------------------------------------------------------------------------------------------------\n", + "Cluster 1 Theme: All of the reviews are about pet food.\n", + "2, Messy and apparently undelicious: My cat is not a huge fan. Sure, she'll lap up the gravy, but leaves th\n", + "4, The cats like it: My 7 cats like this food but it is a little yucky for the human. Piece\n", + "5, cant get enough of it!!!: Our lil shih tzu puppy cannot get enough of it. Everytime she sees the\n", + "1, Food Caused Illness: I switched my cats over from the Blue Buffalo Wildnerness Food to this\n", + "5, My furbabies LOVE these!: Shake the container and they come running. Even my boy cat, who isn't \n", + "----------------------------------------------------------------------------------------------------\n", + "Cluster 2 Theme: All of the reviews are positive and express satisfaction with the product.\n", + "5, Fog Chaser Coffee: This coffee has a full body and a rich taste. The price is far below t\n", + "5, Excellent taste: This is to me a great coffee, once you try it you will enjoy it, this \n", + "4, Good, but not Wolfgang Puck good: Honestly, I have to admit that I expected a little better. That's not \n", + "5, Just My Kind of Coffee: Coffee Masters Hazelnut coffee used to be carried in a local coffee/pa\n", + "5, Rodeo Drive is Crazy Good Coffee!: Rodeo Drive is my absolute favorite and I'm ready to order more! That\n", + "----------------------------------------------------------------------------------------------------\n", + "Cluster 3 Theme: All of the reviews are about food or drink products.\n", + "5, Wonderful alternative to soda pop: This is a wonderful alternative to soda pop. It's carbonated for thos\n", + "5, So convenient, for so little!: I needed two vanilla beans for the Love Goddess cake that my husbands \n", + "2, bot very cheesy: Got this about a month ago.first of all it smells horrible...it tastes\n", + "5, Delicious!: I am not a huge beer lover. I do enjoy an occasional Blue Moon (all o\n", + "3, Just ok: I bought this brand because it was all they had at Ranch 99 near us. I\n", + "----------------------------------------------------------------------------------------------------\n" + ] + } + ], + "source": [ + "import openai\n", + "\n", + "# Reading a review which belong to each group.\n", + "rev_per_cluster = 5\n", + "\n", + "for i in range(n_clusters):\n", + " print(f\"Cluster {i} Theme:\", end=\" \")\n", + "\n", + " reviews = \"\\n\".join(\n", + " df[df.Cluster == i]\n", + " .combined.str.replace(\"Title: \", \"\")\n", + " .str.replace(\"\\n\\nContent: \", \": \")\n", + " .sample(rev_per_cluster, random_state=42)\n", + " .values\n", + " )\n", + " response = openai.Completion.create(\n", + " engine=\"text-davinci-003\",\n", + " prompt=f'What do the following customer reviews have in common?\\n\\nCustomer reviews:\\n\"\"\"\\n{reviews}\\n\"\"\"\\n\\nTheme:',\n", + " temperature=0,\n", + " max_tokens=64,\n", + " top_p=1,\n", + " frequency_penalty=0,\n", + " presence_penalty=0,\n", + " )\n", + " print(response[\"choices\"][0][\"text\"].replace(\"\\n\", \"\"))\n", + "\n", + " sample_cluster_rows = df[df.Cluster == i].sample(rev_per_cluster, random_state=42)\n", + " for j in range(rev_per_cluster):\n", + " print(sample_cluster_rows.Score.values[j], end=\", \")\n", + " print(sample_cluster_rows.Summary.values[j], end=\": \")\n", + " print(sample_cluster_rows.Text.str[:70].values[j])\n", + "\n", + " print(\"-\" * 100)\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It's important to note that clusters will not necessarily match what you intend to use them for. A larger amount of clusters will focus on more specific patterns, whereas a small number of clusters will usually focus on largest discrepencies in the data." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python3 (GPT)", + "language": "python", + "name": "gpt" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + }, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/ai-medical-chatbot-master/3-Modeling/tools/Obtain_dataset.ipynb b/ai-medical-chatbot-master/3-Modeling/tools/Obtain_dataset.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..23ef23fed29049179de5ba4c02f9caf8829bf40c --- /dev/null +++ b/ai-medical-chatbot-master/3-Modeling/tools/Obtain_dataset.ipynb @@ -0,0 +1,435 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Load the dataset\n", + "\n", + "The dataset used in this example is [fine-food reviews](https://www.kaggle.com/snap/amazon-fine-food-reviews) from Amazon. The dataset contains a total of 568,454 food reviews Amazon users left up to October 2012. We will use a subset of this dataset, consisting of 1,000 most recent reviews for illustration purposes. The reviews are in English and tend to be positive or negative. Each review has a ProductId, UserId, Score, review title (Summary) and review body (Text).\n", + "\n", + "We will combine the review summary and review text into a single combined text. The model will encode this combined text and it will output a single vector embedding." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To run this notebook, you will need to install: pandas, openai, transformers, plotly, matplotlib, scikit-learn, torch (transformer dep), torchvision, and scipy." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "import pandas as pd\n", + "import tiktoken\n", + "from openai.embeddings_utils import get_embedding\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# embedding model parameters\n", + "embedding_model = \"text-embedding-ada-002\"\n", + "embedding_encoding = \"cl100k_base\" # this the encoding for text-embedding-ada-002\n", + "max_tokens = 8000 # the maximum for text-embedding-ada-002 is 8191\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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TimeProductIdUserIdScoreSummaryTextcombined
01351123200B003XPF9BOA3R7JR3FMEBXQB5where does one start...and stop... with a tre...Wanted to save some to bring to my Chicago fam...Title: where does one start...and stop... wit...
11351123200B003JK537SA3JBPC3WFUT5ZP1Arrived in piecesNot pleased at all. When I opened the box, mos...Title: Arrived in pieces; Content: Not pleased...
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" + ], + "text/plain": [ + " Time ProductId UserId Score \\\n", + "0 1351123200 B003XPF9BO A3R7JR3FMEBXQB 5 \n", + "1 1351123200 B003JK537S A3JBPC3WFUT5ZP 1 \n", + "\n", + " Summary \\\n", + "0 where does one start...and stop... with a tre... \n", + "1 Arrived in pieces \n", + "\n", + " Text \\\n", + "0 Wanted to save some to bring to my Chicago fam... \n", + "1 Not pleased at all. When I opened the box, mos... \n", + "\n", + " combined \n", + "0 Title: where does one start...and stop... wit... \n", + "1 Title: Arrived in pieces; Content: Not pleased... " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# load & inspect dataset\n", + "input_datapath = \"data/fine_food_reviews_1k.csv\" # to save space, we provide a pre-filtered dataset\n", + "df = pd.read_csv(input_datapath, index_col=0)\n", + "df = df[[\"Time\", \"ProductId\", \"UserId\", \"Score\", \"Summary\", \"Text\"]]\n", + "df = df.dropna()\n", + "df[\"combined\"] = (\n", + " \"Title: \" + df.Summary.str.strip() + \"; Content: \" + df.Text.str.strip()\n", + ")\n", + "df.head(2)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1000" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# subsample to 1k most recent reviews and remove samples that are too long\n", + "top_n = 1000\n", + "df = df.sort_values(\"Time\").tail(top_n * 2) # first cut to first 2k entries, assuming less than half will be filtered out\n", + "df.drop(\"Time\", axis=1, inplace=True)\n", + "\n", + "encoding = tiktoken.get_encoding(embedding_encoding)\n", + "\n", + "# omit reviews that are too long to embed\n", + "df[\"n_tokens\"] = df.combined.apply(lambda x: len(encoding.encode(x)))\n", + "df = df[df.n_tokens <= max_tokens].tail(top_n)\n", + "len(df)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ProductIdUserIdScoreSummaryTextcombinedn_tokens
0B003XPF9BOA3R7JR3FMEBXQB5where does one start...and stop... with a tre...Wanted to save some to bring to my Chicago fam...Title: where does one start...and stop... wit...52
297B003VXHGPKA21VWSCGW7UUAR4Good, but not Wolfgang Puck goodHonestly, I have to admit that I expected a li...Title: Good, but not Wolfgang Puck good; Conte...178
296B008JKTTUAA34XBAIFT02B601Should advertise coconut as an ingredient more...First, these should be called Mac - Coconut ba...Title: Should advertise coconut as an ingredie...78
295B000LKTTTWA14MQ40CCU8B135Best tomato soupI have a hard time finding packaged food of an...Title: Best tomato soup; Content: I have a har...111
294B001D09KAMA34XBAIFT02B601Should advertise coconut as an ingredient more...First, these should be called Mac - Coconut ba...Title: Should advertise coconut as an ingredie...78
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623B0000CFXYAA3GS4GWPIBV0NT1Strange inflammation responseTruthfully wasn't crazy about the taste of the...Title: Strange inflammation response; Content:...110
624B0001BH5YMA1BZ3HMAKK0NC5My favorite and only MUSTARDYou've just got to experience this mustard... ...Title: My favorite and only MUSTARD; Content:...80
625B0009ET7TCA2FSDQY5AI6TNX5My furbabies LOVE these!Shake the container and they come running. Eve...Title: My furbabies LOVE these!; Content: Shak...47
619B007PA32L2A15FF2P7RPKH6G5got this for the daughterall i have heard since she got a kuerig is why...Title: got this for the daughter; Content: all...50
999B001EQ5GEOA3VYU0VO6DYV6I5I love Maui Coffee!My first experience with Maui Coffee was bring...Title: I love Maui Coffee!; Content: My first ...118
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1000 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " ProductId UserId Score \\\n", + "0 B003XPF9BO A3R7JR3FMEBXQB 5 \n", + "297 B003VXHGPK A21VWSCGW7UUAR 4 \n", + "296 B008JKTTUA A34XBAIFT02B60 1 \n", + "295 B000LKTTTW A14MQ40CCU8B13 5 \n", + "294 B001D09KAM A34XBAIFT02B60 1 \n", + ".. ... ... ... \n", + "623 B0000CFXYA A3GS4GWPIBV0NT 1 \n", + "624 B0001BH5YM A1BZ3HMAKK0NC 5 \n", + "625 B0009ET7TC A2FSDQY5AI6TNX 5 \n", + "619 B007PA32L2 A15FF2P7RPKH6G 5 \n", + "999 B001EQ5GEO A3VYU0VO6DYV6I 5 \n", + "\n", + " Summary \\\n", + "0 where does one start...and stop... with a tre... \n", + "297 Good, but not Wolfgang Puck good \n", + "296 Should advertise coconut as an ingredient more... \n", + "295 Best tomato soup \n", + "294 Should advertise coconut as an ingredient more... \n", + ".. ... \n", + "623 Strange inflammation response \n", + "624 My favorite and only MUSTARD \n", + "625 My furbabies LOVE these! \n", + "619 got this for the daughter \n", + "999 I love Maui Coffee! \n", + "\n", + " Text \\\n", + "0 Wanted to save some to bring to my Chicago fam... \n", + "297 Honestly, I have to admit that I expected a li... \n", + "296 First, these should be called Mac - Coconut ba... \n", + "295 I have a hard time finding packaged food of an... \n", + "294 First, these should be called Mac - Coconut ba... \n", + ".. ... \n", + "623 Truthfully wasn't crazy about the taste of the... \n", + "624 You've just got to experience this mustard... ... \n", + "625 Shake the container and they come running. Eve... \n", + "619 all i have heard since she got a kuerig is why... \n", + "999 My first experience with Maui Coffee was bring... \n", + "\n", + " combined n_tokens \n", + "0 Title: where does one start...and stop... wit... 52 \n", + "297 Title: Good, but not Wolfgang Puck good; Conte... 178 \n", + "296 Title: Should advertise coconut as an ingredie... 78 \n", + "295 Title: Best tomato soup; Content: I have a har... 111 \n", + "294 Title: Should advertise coconut as an ingredie... 78 \n", + ".. ... ... \n", + "623 Title: Strange inflammation response; Content:... 110 \n", + "624 Title: My favorite and only MUSTARD; Content:... 80 \n", + "625 Title: My furbabies LOVE these!; Content: Shak... 47 \n", + "619 Title: got this for the daughter; Content: all... 50 \n", + "999 Title: I love Maui Coffee!; Content: My first ... 118 \n", + "\n", + "[1000 rows x 7 columns]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Get embeddings and save them for future reuse" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# Ensure you have your API key set in your environment per the README: https://github.com/openai/openai-python#usage\n", + "\n", + "# This may take a few minutes\n", + "df[\"embedding\"] = df.combined.apply(lambda x: get_embedding(x, engine=embedding_model))\n", + "df.to_csv(\"data/fine_food_reviews_with_embeddings_1k.csv\")\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python3 (GPT)", + "language": "python", + "name": "gpt" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.11" + }, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/ai-medical-chatbot-master/3-Modeling/tools/Semantic_text_search_using_embeddings.ipynb b/ai-medical-chatbot-master/3-Modeling/tools/Semantic_text_search_using_embeddings.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..c0ae57be14bc10f07cbc47af123761c98c63d8e2 --- /dev/null +++ b/ai-medical-chatbot-master/3-Modeling/tools/Semantic_text_search_using_embeddings.ipynb @@ -0,0 +1,270 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Semantic text search using embeddings\n", + "\n", + "We can search through all our reviews semantically in a very efficient manner and at very low cost, by embedding our search query, and then finding the most similar reviews. The dataset is created in the [Obtain_dataset Notebook](Obtain_dataset.ipynb)." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "from ast import literal_eval\n", + "\n", + "datafile_path = \"data/fine_food_reviews_with_embeddings_1k.csv\"\n", + "\n", + "df = pd.read_csv(datafile_path)\n", + "df[\"embedding\"] = df.embedding.apply(literal_eval).apply(np.array)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 [0.007018072064965963, -0.02731654793024063, 0...\n", + "1 [-0.003140551969408989, -0.009995664469897747,...\n", + "2 [-0.01757248118519783, -8.266511576948687e-05,...\n", + "3 [-0.0013932279543951154, -0.011112828738987446...\n", + "4 [-0.01757248118519783, -8.266511576948687e-05,...\n", + " ... \n", + "995 [0.00011091353371739388, -0.00466986745595932,...\n", + "996 [-0.020869314670562744, -0.013138455338776112,...\n", + "997 [-0.009749102406203747, -0.0068712360225617886...\n", + "998 [-0.00521062919870019, 0.0009606690146028996, ...\n", + "999 [-0.006057822611182928, -0.015015840530395508,...\n", + "Name: embedding, Length: 1000, dtype: object" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['embedding']" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "arr=df.head(1)['embedding'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1536,)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "arr[0].shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here we compare the cosine similarity of the embeddings of the query and the documents, and show top_n best matches." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Good Buy: I liked the beans. They were vacuum sealed, plump and moist. Would recommend them for any use. I personally split and stuck them in some vodka to make vanilla extract. Yum!\n", + "\n", + "Jamaican Blue beans: Excellent coffee bean for roasting. Our family just purchased another 5 pounds for more roasting. Plenty of flavor and mild on acidity when roasted to a dark brown bean and befor\n", + "\n", + "Delicious!: I enjoy this white beans seasoning, it gives a rich flavor to the beans I just love it, my mother in law didn't know about this Zatarain's brand and now she is traying different seasoning\n", + "\n" + ] + } + ], + "source": [ + "from openai.embeddings_utils import get_embedding, cosine_similarity\n", + "\n", + "# search through the reviews for a specific product\n", + "def search_reviews(df, product_description, n=3, pprint=True):\n", + " product_embedding = get_embedding(\n", + " product_description,\n", + " engine=\"text-embedding-ada-002\"\n", + " )\n", + " df[\"similarity\"] = df.embedding.apply(lambda x: cosine_similarity(x, product_embedding))\n", + "\n", + " results = (\n", + " df.sort_values(\"similarity\", ascending=False)\n", + " .head(n)\n", + " .combined.str.replace(\"Title: \", \"\")\n", + " .str.replace(\"; Content:\", \": \")\n", + " )\n", + " if pprint:\n", + " for r in results:\n", + " print(r[:200])\n", + " print()\n", + " return results\n", + "\n", + "\n", + "results = search_reviews(df, \"delicious beans\", n=3)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Tasty and Quick Pasta: Barilla Whole Grain Fusilli with Vegetable Marinara is tasty and has an excellent chunky vegetable marinara. I just wish there was more of it. If you aren't starving or on a \n", + "\n", + "sooo good: tastes so good. Worth the money. My boyfriend hates wheat pasta and LOVES this. cooks fast tastes great.I love this brand and started buying more of their pastas. Bulk is best.\n", + "\n", + "Handy: Love the idea of ready in a minute pasta and for that alone this product gets praise. The pasta is whole grain so that's a big plus and it actually comes out al dente. The vegetable marinara\n", + "\n" + ] + } + ], + "source": [ + "results = search_reviews(df, \"whole wheat pasta\", n=3)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can search through these reviews easily. To speed up computation, we can use a special algorithm, aimed at faster search through embeddings." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "great product, poor delivery: The coffee is excellent and I am a repeat buyer. Problem this time was with the UPS delivery. They left the box in front of my garage door in the middle of the drivewa\n", + "\n" + ] + } + ], + "source": [ + "results = search_reviews(df, \"bad delivery\", n=1)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As we can see, this can immediately deliver a lot of value. In this example we show being able to quickly find the examples of delivery failures." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Extremely dissapointed: Hi,
I am very disappointed with the past shipment I received of the ONE coconut water. 3 of the boxes were leaking and the coconut water was spoiled.

Thanks.However, the so-called custard isn't so bad. I think it's probably just cornstarch and annatto (yellow coloring with a slight flavor). It's fun playing with it. You could dress it up with fruit. Seems to come out on the thin side when you make it as directed, so I use less milk because I like my custards to set firm. As a custard sauce it's fine. I would say it tastes something between a pudding and a custard.

If you want a really good egg-free ""custard"" get an original recipe for ""blanc mange."" It takes a lot longer to make, but it's certainly worth the difference." +3,1351123200,B004AHGBX4,A2UY46X0OSNVUQ,3,These also have SALT and it's not sea salt.,"I like the fact that you can see what you're getting and that there are no bones or dark meat. There are 7 nice big chunks in every jar.

These taste like tuna in a can but, because they're preserved in glass, you don't have to worry about either aluminum or BPA; BUT ... they are not just tuna and spring water.

There is salt in there, too, and it's not healthy sea salt, it's toxic table salt.

I am trying to contact Tonnino to confirm that. I might be wrong because the label states that the ingredients are ""tuna fish"" but the sticker on the top clarifies that it is the smaller (healthier) yellowfin, so the ""salt"" listed in the ingredients might be sea salt but, if it was, why don't they say so?

Without confirmation, I will continue to look for a salt-free olive-oil free tuna preserved in glass.

If you know of one, please contact me!" +4,1351123200,B001BORBHO,A1AFOYZ9HSM2CZ,5,Happy with the product,My dog was suffering with itchy skin. He had been eating Natural Choice brand (cheaper) since he was a puppy. I was nervous to change foods. The vet suggested to change foods sand see if the skin issues cleared up. Wellness brand did the job. My dog seems to love the food and the skin issues cleared up within a few weeks. +5,1351123200,B008PSM0BQ,A3OUFIMGL2K6RS,4,Good Sauce,"This is a good all purpose sauce. Has good flavor that the heat doesn't overpower. Not really that spicy unless you use a whole bunch. 10 good drops is about enough to add a little heat to a pot of soup, but a lot more is needed if you want a lingering burn. Heat isn't quite up to par with other products out there, (such as Spontaneous Combustion) but this has the true aged cayenne hot sauce flavor." +6,1351123200,B008YA1LQK,A9YEAAQVHFUTX,5,Blackcat,Great coffee! Love all Green Mountain coffee and all the wonderful flavors. Would and do recommend this coffee to all my friends. +7,1351123200,B001KP6B98,ABWCUS3HBDZRS,5,Excellent product,After scouring every store in town for orange peels and not finding anything satisfactory I turned to the online options.

I received the candied orange peels today and I found exactly what I was looking for. The peels are perfect for the fruit cake I plan to bake. The peels are not crystallized with sugar which is great I like the texture and the taste of the peels and I am gonna order another box soon. +8,1351123200,B008YA1LQK,A2RSB6FVQ9K9OD,5,Bulk k-Cups,This is the best way to buy coffee for my office. Least expensive way to buy convenience with harder to find flavor and brand. I also buy this way for home. +9,1351123200,B001E5E2QI,A23WYVBCNE75X1,3,It's Okay,"Next time, I will buy Gevalia Irish Cream decaf coffee. I thought this would be as good, but it's mostly sugar." +10,1351123200,B000H9K4KA,A2WMZYYF8OSGD6,5,FABULOUS...,Absolutely wonderful. A real licorice taste. No phony baloney here!
It has a great flavor. I'd purchase it again for sure. +11,1351123200,B004QDA8WC,ANM000BVVUSCT,5,"Exactly what I was looking for: Fast, fantastic Chai!","I was skeptical as to how good an all-in-one Chai Tea for Keurig could be, but my doubts were erased at my first sip! The spice blend is great, as is the sweetening and the dairy component. This is the kind of thing I was hoping I could get from my single-serve coffeemaker!

Order some, you will thank yourself every time you brew a cup." +12,1351123200,B000K8T3OQ,AK43Y4WT6FFR3,1,Broken in a million pieces,"Chips were broken into small pieces. Problem isn't amazon's, it's Stacy's. Stacy (or amazon) needs to pack the original box of six better, the bags move around too much. There was room for at least two more bags in the box.
Amazon packed the Stacy's box in their box very tight and good.

I tried to complain to Stacy, they make it very hard, no luck.
Chips taste great though, maybe I'll pour them in a bowl with milk for breakfast." +13,1351123200,B0051C0J6M,AWFA8N9IXELVH,1,Deceptive description,On Oct 9 I ordered from a different vendor the same product 1.2 oz- 6 pack. That order was 6 packs of 1.2 oz ea. When I saw this item I decided to order it. it read the same as my first order 1.2 oz- 6 pack & the price was approximately the same. I received the order today & what is it but 1 large bag of small packs totaling 1.2 oz. I call this deceptive not curious as another reviewer put it. I think the descriptions should be more specfic. The 1 star rating I gave is because of the description not the product itself. The chips are actually very good. +14,1351123200,B0051C0J6M,AG4YGLLIE8BWP,5,Makes me drool just thinking of them,"The Brit's have out done us. The flavor is supreme,they satisfy my hunger for steak and onions...
Get them while you can... Their other flavors are great tooo" +15,1351123200,B003J9HAU2,A23WYVBCNE75X1,3,it's alright,My kitten prefers Kitten Chow or Iams. He leaves it in his bowl unlike other brands I have purchased in the past. +16,1351123200,B001444G5Q,A3FIA99WOIL40T,2,these are mini candy bars.,I was very disappointed with this order because no where on the description did it say that these were mini candy bars. If you don't want mini's DO NOT BY THIS PACKAGE!!!! Now I have to spend more money because it would cost a ton of money to send these back and I'm not going to give out mini's to trick or treaters. +17,1351123200,B006Q7YG24,A7EU2BWLLCJY2,5,My dogs love them!,"I've tried several different kinds of freeze-dried chicken treats and, for the most part, they are all so dehydrated that they literally turn into dust in the bag. You get a couple of solid pieces out of a bag, then the rest you have to sprinkle on top of dog food because it's just chicken powder. These don't do that! They have some additional ingredients in them besides chicken (veggies and fruit mostly) so they stay together very nicely. They are definitely designed for larger dogs - each treat is about the size of a fifty-cent piece (when was the last time you saw one of those?) and about a quarter to a half an inch thick. But they break easily into smaller pieces for little dogs. I have teeny, tiny chihuahuas so I have to break these treats into M&M-sized pieces for them, but they can't get enough! And the bag goes a long ways if you are breaking them down into smaller treats. These are now permanently on my shopping list for my babies." +18,1351123200,B008JKSJJ2,A1XV4W7JWX341C,5,"Loved these gluten free healthy bars, saved $$ ordering on Amazon",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the coconut too.. +19,1351123200,B008JKSJJ2,A34XBAIFT02B60,1,Should advertise coconut as an ingredient more prominently,"First, these should be called Mac - Coconut bars, as Coconut is the #2 ingredient and Mango is #3. Second, lots of people don't like coconut. I happen to be allergic to it. Word to Amazon that if you want happy customers to make things like this more prominent. Thanks." +20,1351123200,B006N3HZ6K,A2CSPTFY7QPT78,5,Great bold taste-- compare to Emeril's Bold,"I've been drinking Emeril's Bold for a year and a half, and wanted to try something different. A review led me to this brand, and I love it too! I'm a strong coffee gal-- I like Starbuck's-- so this is right up my alley." +21,1351123200,B006N3HZ6K,A3NIBMLKUK73JC,5,Great flavor no bite,This coffee is a favorite of mine and many others. Jet Fuel is dark roasted but smooth and rich with no bite! +22,1351123200,B008FHUGNQ,A2CSPTFY7QPT78,5,Great bold taste-- compare to Emeril's Bold,"I've been drinking Emeril's Bold for a year and a half, and wanted to try something different. A review led me to this brand, and I love it too! I'm a strong coffee gal-- I like Starbuck's-- so this is right up my alley." +23,1351123200,B008FHUGNQ,A3NIBMLKUK73JC,5,Great flavor no bite,This coffee is a favorite of mine and many others. Jet Fuel is dark roasted but smooth and rich with no bite! +24,1351123200,B003R0LKRW,A1OQSU5KYXEEAE,1,Food Caused Illness,"I switched my cats over from the Blue Buffalo Wildnerness Food to this food in May. The cats weren't thrilled with the food, but I stuck with it anyway. In October, I took one of the cats to vet for weight loss and hair loss. After various testing, the vet proposed the problem was this food. I don't know why it made one of the cats so sick and not the others, but I am very upset that I caused my cat to become ill by switching her food. I am throwing out the rest of this food immediatetly." +25,1351123200,B004F7EFVE,A24UHAYXKSS3AP,5,Yum,My kids love these Earnest Eats snacks. I like that they are more nutritional and healthier that traditional snack bars in the grocery store. I also admire the use non-oil alternative products such as almond butter and non-processed sugar such as dried fruit for sweetness. I have already ordered these bars 3 times and will continue! +26,1351123200,B0011T2SAO,AK0K4RNBQ9NM7,3,Saifun was too thin!,"This saifun was very thin and would not ""swell"" up like other brands of saifun I have used in the past. Had to use three times as much as the usual saifun amounts to make my dishes. Will not buy this again!!" +27,1351123200,B001D0DMMY,A34XBAIFT02B60,1,Should advertise coconut as an ingredient more prominently,"First, these should be called Mac - Coconut bars, as Coconut is the #2 ingredient and Mango is #3. Second, lots of people don't like coconut. I happen to be allergic to it. Word to Amazon that if you want happy customers to make things like this more prominent. Thanks." +28,1351123200,B001D0DMMY,A1XV4W7JWX341C,5,"Loved these gluten free healthy bars, saved $$ ordering on Amazon",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the coconut too.. +29,1351123200,B007I7Z3Z0,ATTK7J5JWVDYD,5,yummy,these are the best super yummy and i never get sick of the flavor. a little bit pricey but not filled with sugar +30,1351123200,B001EQ5MT8,A1LZ8VQVNPI30N,5,Better than you-know-who's coffee...,"So my wife is a latte freak, and nursing, so decaf is the approved type. After the Senseo left the market, I struggled and found the Aerobie AeroPress Coffee and Espresso Maker which is like a French Press for the 21st century. After getting our recipe figured out, my wife, who's been buying Venti Decaf Latte's at $4 a pop almost daily for years now declares that Seattle's best Level 3 Decaf in her home-made Latte is the best coffee she can get. We've tried other bands, and this is her favorite, hands down!" +31,1351123200,B004X8TGVY,A3HQAPXAJV7PRX,5,Like Triscuits but healthier,"We have bought a lot of Kashi Heart to Heart crackers since DH had a heart attack last year, but we've never tried the originals. I didn't realize it, but these are the woven wheat type of cracker like Triscuits, not crackers like the other ones we've been buying. They are not as salty as Triscuits (or they couldn't claim to be heart-healthy), but if you make heart-healthy spreads to put on them using flavorful salt substitutes, you won't miss the salt. They can be used for everything you'd use Triscuits for. I'm really glad these are available." +32,1351123200,B007OSBEV0,A2HE0D04TNG6CS,1,Disappointed,I received the offer from Amazon and had never tried this brand before. I thought since Martinson's had been in business for a long time that I would order. I was disappointed. The flavor was not what I expected and each cup of coffee had a residue in it. I have not had any of the other brands do that so I know it had to be the coffee. I am guessing that the coffee was ground to fine for a K-Cup. I only have 8 more left and will be glad. I will not buy this brand again. +33,1351123200,B003EML8PM,A3VERUHFCZ5S51,5,Ms. Mac's Review,I loved this item. I wish I could find it in the stores. Walmart carried this item in Louisiana for some time. When I travel to Louisiana I sometime can find this item at Fred's. I have not found this item in the Houston area. Easy to prepare and a great conversation piece. No one here has seen this before. I purchased this item at Amazon. +34,1351123200,B007OSBEV0,A2WMWK5GJCY8SH,5,Good coffee.,This is the best Donut Shop Blend out there. Though most k-cups taste a little freeze dried. Keurig needs to work on that. I prefer San Francisco Bay Coffee Company. +35,1351123200,B000VDL7RG,A2QGTXLC93BRV9,4,Good but not as good as I remember,"I could be wrong but it seems like these used to be better. After reading reviews I think something went down in quality once BIGS took over production but with that said, these are still good sunflower seeds and addicting. There was an abundance of seeds that looked like they were smashed together or had gotten a ton of whatever the seasoning was glued onto them in a glob but at least 90% of each package was the normal single seed, non-misformed kind. All in all these are worth buying if you like sunflower seeds but if you have had them before BIGS was outsourced to produce them you may be a little disappointed as I was as they went from great to good." +36,1351123200,B003U9TAH2,A1QA6BI0T8A81I,5,Very good,"It tastes delisious, and works efectively if yo drink it at the rigth time. Lean body is the suplement with the best flavor I've ever tasted" +37,1351123200,B000FBM3RC,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +38,1351123200,B0076YVPFC,A23E9ZPS2RQZS0,5,Tasty and Quick Pasta,"Barilla Whole Grain Fusilli with Vegetable Marinara is tasty and has an excellent chunky vegetable marinara. I just wish there was more of it. If you aren't starving or on a diet, the 9oz serving is enough for lunch although you might want to add a piece of fruit to feel full. The whole grain fusilli cooked to al dente tenderness following the instructions and the chunky marinara sauce is so good that I wished there was more of it. Rarely do I eat sauce alone but this sauce is good enough to." +39,1351123200,B0076YVPFC,A3FD3BHIUYIFPD,3,Handy,"Love the idea of ready in a minute pasta and for that alone this product gets praise. The pasta is whole grain so that's a big plus and it actually comes out al dente. The vegetable marinara sauce is tasty, but has a high salt content - 710mg for a 9 oz. serving.

It looks like much thought and testing went into creating the packaging, but I found it challenging. You need to pull back the film to expose the sauce tray -- and not spill it. I had to pull hard on the film, which made the sauce cup wiggle. Easy to work around, but tricky nonetheless.

All in all a step up from usual microwave in a minute fare." +40,1351123200,B005VUILWI,A1X2LENOF84LCQ,3,sweet enough for me but is not all stevia,"I feel it is sweet enough for me but I am trying to tame my sweet tooth and cutting back on sweets. I don't like that it has the agave in it, It is not something I am interested in using on a regular basis. There is some controversy it seems over how good agave really is for your body. I am looking for a natural sweetener that is good for you and tastes good. I am not completely convinced that this is what I want. Everyone has there own tastes and can make their own decisions. This is just my opinion." +41,1351123200,B005VUILWI,AS44QEHT3KSPK,3,ok....not the best,"I've tried a lot of stevia - not sure why this has agave or silica but then again, the last stevia I bought had lactose listed first, then stevia leaf.

The taste is good and it dissovles fast, but I wish it was just pure stevia." +42,1351123200,B003M60630,AJVDF84AZB2OU,5,Celestial Iced Black Tea,This is my favorite brand of black iced tea. I have tried others and they don't compare to the flavor of Celestial Seasons. +43,1351123200,B0000CNU0B,A27ZW7Y1XVK473,5,Great stuff,I use this to make a broth for noodles and soup. it reminds me of the days I spent in Japan. easy to use. +44,1351123200,B004SC56MS,A212SRA4Z8BNJY,5,Very pleased,"Good size for my papillon and pomeranian-mix. These are dense, not airy- so they last longer and from the USA." +45,1351123200,B0076YVPFC,A3OJX18B60PJR9,4,"Tasty & convenient but at $3.21 a package, not the best value available","Daverat's Wife speaking: I made this for my husband and it was very easy to prepare in the microwave. He enjoyed the meal and stated that he'd love to have them on hand if the price point was more reasonable. He ate his Fusilla & Veg Marinara with a large salad seasoned only with some balsamic vingar and had it for his dinner meal. To use the Chinese food cliche, he told me an hour later he was hungry again so I made him a grilled chicken breast. That got me to thinking that the packaged meal alone wouldn't work for us as a stand-alone meal. We'd have to add to it for it to work. If these were a dollar per package cheaper after Subscribe & Save, they might make a good shelf stable meal to which you could add cooked chicken strips, canned chicken, black beans or even a high quality pouched tuna. On it's own, it's not filling enough nor nutritionally complete.

Right at this moment, Amazon is showing me an offer for a $5 off Amazon coupon which when applied, brings the price point after Subscribe & Save down to $2.38, which is quite a bit better and rather tempting. However, after seeing this, I asked my husband if he wanted me to order some for the pantry and suddenly he wasn't as in love with the product any more. Oh well! When you add in the cost of a small salad plus some lean protein such as the gilled chicken breast, even with the $5 off, it brings the per meal cost back up to around $4.60. That may sound like a bargain if you eat out often or grab fast food a few nights a week but we don't. I plan our meals out for the week and even sometimes for an entire month ahead of time to get the most from every grocery item we buy and I could make this same dish using Barilla High protein pasta, my own vegetable marinara with veg from my gardens and come out quite a bit cheaper. I also think I could eliminate some of the high sodium contant and bring down the fat in the dish as well.

I gave it four stars, however, because hubby liked it, it was simple to prepare and even a starving teenager can toss in some chicken strips of canned chicken to make it a more filling meal. There's enough sauce in the meal to coat a moderate amount of added chicken or meat. I could see this being a good pantry staple for a college student or a busy single person. As shelf-stable meals go, even though I wasn't all that impressed with the sodium count and fat, this brand compares quite favorable with other shelf-stable meals. It could be a good choice for folks in ned of something o brag and nuke quickly at the end of a long day and in place of ordering in restaurant food. For a family on a budget.. not so much of a deal." +46,1351123200,B000EDG4TE,A3SFGVQV4SJHJH,5,"Bob's Red Mill Pumpkin Seeds, Raw","These came fresh, and sprout well for me. I am very pleased with them. They make a tasty and nutritious addition to our salads. As usual, Amazon delivery and postage was great with the super saving shipping option." +47,1351123200,B008RMU23S,A1JW7RH2UKUXW6,5,best ever,"The type of food stuff that calls to you in the middle of the night, knowing that you have to go to the kitchen and enjoy more of these" +48,1351123200,B006WYUFDU,AAYYRMUPU3JDO,5,Lab puppy loves it,"My 4 month old lab has been on this for about 2 months and loves it. I didn't want to feed her any chicken products, so I opted for the lamb. Her coat is shiny and she has lots of energy. If you're looking for an alternative to chicken-based puppy food, I highly recommend this one." +49,1351123200,B0001GCAR4,A1G3RMTUPLVQIL,4,pretty good but not the best,"being raised in germany, i always had the great marzipan. when i got this box it actually did taste pretty good but it was somewhat dry, though i think the toasting is the cause of that. it didnt have an intense flavor and was more sweet than almondy, another reason it wasnt my favorite. i love marzipan but i cant afford the real expensive stuff so i buy this stuff and its delicious either way, since i rarely get to try it.
shipping was on time and it was fresh. so all in all i rate this four, for the good service, and the good tasting candy.
warning- it was smaller than i expected." +50,1351123200,B00370ESNU,AD94E61T77UFV,2,"Flavor OK - Everything else, bad.","I was really excited to find this soda. Taste isn't bad, takes a couple of days to get used to. It's only fizzy when you first pour it out, then it turns into what looks like flat soda. The dealbreaker here is this soda has caused horrible diarrhea. I'm actually posting this review from the toilet as my stomach makes noises. This is my 3rd trip today.

I'll try my luck with the occasional Splenda soda. This has been a bad experience. I'm scared to give it to y kids because I don't want them to have an accident at school." +51,1351123200,B004LYQJSS,A1MZ9AO9IUJ6MY,5,amazing taste,This coffee is amazing...nice flavor..very smooth. Great morning coffee! I would definitely buy this again and the price is great! +52,1351123200,B003U4M4ZC,A3V7HRQR1OQPQ7,5,An Authentic Movie Theater Popcorn Experience.,"My wife is a popcorn fanatic and especially loves that Authentic Movie Theater Popcorn. I have been trying relentlessly to re-create that experience at home using various products, from clarified butter, to flavacol, to movie butter seasoning.. all of which came close but not exactly it. After trying the Snappy Butter Burst Oil we agreed this was the closest we've tasted that fit that flavor profile of Authentic Movie Theater Popcorn. Of course you have remember to include the other steps as well , like cooking on the stove vs. a hot-air popper and cooking with coconut oil while also using fine-grained salt to top afterwards. (not regular table salt, the fine-grained salt gives much better coverage ).

I could not find any nutritional information on the product so here it is :
1 tablespoon Serving Size
Total Fat : 14g
Saturated Fat: 2g
Trans Fatty Fat: 0
Polyunsaturated Fat: 8g
Monounsaturated Fat: 4g
Cholesterol: 0mg
Sodium: 0mg
Total Carbohydrate: 0g
Protein: 0g

Ingredients: soybean oil, Artificial Butter Flavor, TBHQ and citric acid, Beta Carotene

Suggestion: purchase a pump for use with the gallon size or , as we like to do, use a cup with a pouring spout (measuring cup will do), heat 1 - 2 tablespoons in microwave for 10-15 seconds and slowly pour warmed oil over popped corn ( layering in the popcorn to maximize coverage) .

kick back and enjoy your favorite movie, an episode of your favorite drama, or just enjoy the popcorn all to yourself - whatever suits your mood." +53,1351123200,B001NGAT9W,A111SHKHPDN8N,5,A Hit!,"We had an Autumn soup party a couple of weeks ago, featuring 3 different soups and different artisan breads. The overwhelmingly favorite soup was the Illinois Prairie Corn Chowder. It couldn't have been easier to prepare, and I added absolutely nothing to it (except the fresh corn, as recommended on the package) and it tasted fantastic. Everyone wanted my soup recipe and were surprised when I revealed that it was an easy to make packaged soup.

The package makes a lot of soup, about 12 servings. Since I had a large group, I made up two packages. We were able to send extra servings home with our guests, and still had plenty left over for ourselves.

I saw a review that suggested adding some cooked bacon to the soup. I'm going to try that next time, even though the package mix requires no extra flavoring. I just like the flavor of bacon.

I'd recommend this soup to anyone who likes corn, chowder, and a rich tasty soup." +54,1351123200,B001L492LW,AESXR5WVO087C,5,give this product a try,"You love them, don't love them or you will never try eatting
anchovies. That is usually the way it is. For those of you who
are passionate and really enjoy eatting anchovies then give
this product a try. Whether eatting them just because, putting
them in salad or saving some money and putting them on pizza
slices, this product does not disappoint. Not much more to add
if you have read the other positive reviews here about this
particular product. Upon placing the order the product arrived
8 days later. My only issue was one of the bottles appeared
slighty ajar and the oil/liquid had slightly leaked out. The
product seemed well packed so I can only assume it may have
been roughed up by the delivery company. All things considered
giving this product five stars and I highly recommend." +55,1351123200,B000WEPI1K,A3F14GVSJMJ0WH,2,dingos,The red part of the dingos was missing from 3 of the balls in one bag and two of them in the other. The others have not been opened yet and I found this very upsetting since this is the part the the puppies go for first. I don't mind paying that price if it is as shown. The bag show no white only balls.
Theresa Miller +56,1351123200,B0084HNA80,AXJ1QYBUL86ON,3,This price is ridiculous!,"There's nothing wrong with variety, except when it comes at too high a price. If you want variety, go in with a friend on a few of the 9 bags for $26.01 deals that are offered for different flavors of Beanitos. My favorite are the pinto bean with cheddar cheese variety. I lost interest very quickly in the black bean and sea salt and chipotle barbecue flavors." +57,1351123200,B006YXOOI6,A84YJWMIO30HH,5,expectations met,Is what it says it is would never think it came out of a can would not be suprised to see this product on major. store shelves on account of quality +58,1351123200,B00153SS6E,A3EL8POFM0SH1O,5,My precious child (yorkie) REFUSED to eat for 2 months!!!!!,"I have literally been frantic over ""Celli"" (nickname for Andrea Bocelli) not eating anything except treats..no nutritive value..for 2 months!!! I cooked grilled chicken breasts, beef cooked every way, even lean pork chops...no deal...It is very grueling to watch your only baby starving!!! I tried 32 flavors of dog food. He has always preferred dry food over canned food. So I was perusing the dog food offered by my ""hero sight"" Amazon,and something about Halo Spots Stew caught my attention. For days I went back and forth between flavors that my pooch would find appealing. Finally, I settled on the adult lamb recipe. After ordering I thought ""Oh no, the kibble is going to be too large for his small mouth""( Am I neurotic, doting mother or what?) Anyone who thinks I am totally disgusting doesn't know what this situation is like!! I was prepared to chop the dog food in my food processor...BUT, the food arrived quickly, as usual for Amazon, and what a surprise!!! Upon opening the bag of food, to my pleasant surprise, the smell of the food was so good..so fresh.. and the kibble is so small!! Now for the happy ending...Celli ate every bit in his bowl as if to say ""This is what I've been waiting for""...Mommy will rest tonight...Thanks Halo and Amazon...My love and gratitude to you!!!" +59,1351123200,B0041CH4I4,A4BFKBO2SU9AX,4,Yummy & Great Small Gift,"If someone who will remain nameless would stop eating all mine, then I wouldn't have had to get the box of 20 Chimes ginger candy tins. But I'm glad I did. The packaging is cute, and makes a great small gift to hand out to a co-worker having a rough day, a client when you visit, or a friend when you stop by to watch the game. The tins are recyclable in most locations. The individually wrapped candies are made with cane sugar and real ginger, no high fructose corn syrup so they are in a way better for you than other candy options. Ginger has anti-inflammatory properties and can settle a stomach and ease hearburn. When's the last time your chocolate bar did that?" +60,1351123200,B000LVM4EI,ATTK7J5JWVDYD,5,yummy,the best matza balls out there- super yummy with salt. too bad they guy stopped selling them since it was the best price out there. +61,1351123200,B00461CQQU,A2819LG8LK369A,5,Best coffee ever!,"In my opinion this is the best coffee ever! I've been drinking coffee for 50 plus years and this is what I serve to myself and friends. However, I wish I could find this grind in a pound size, so I could make a full pot rather than just a single cup." +62,1351123200,B007JFMH8M,A1CHOKV10NEI8X,5,Good cookies.,"Good oatmeal cookies.

You can pretend you're eating something healthy. When your marathoner, vegan, 4% body-fat co-worker says, ""Cookies?"" in their smug, disdainful fashion, you can reply, ""No, it's oatmeal"". Then cram another seven in your mouth, 'cause these are *really* good cookies.

E.M. Van Court" +63,1351123200,B0083T6HC0,A3MV6OUJ8WVZ2Z,3,34 unique and one duplicate,"It said 35 different but we got 34 different and a duplicate of the caramel cappuccino. Little disappointed in this. Otherwise it is what it said, a selection of coffee, flavored coffee, decaf, half caf, cider, hot cocoa and tea. I was hoping for the chocolate glazed donut and did not get one but I did get a cinnamon roll k cup." +64,1351123200,B003EM7J9Q,A3VERUHFCZ5S51,5,Ms. Mac's Review,I loved this item. I wish I could find it in the stores. Walmart carried this item in Louisiana for some time. When I travel to Louisiana I sometime can find this item at Fred's. I have not found this item in the Houston area. Easy to prepare and a great conversation piece. No one here has seen this before. I purchased this item at Amazon. +65,1351123200,B000NKHI16,A3TRJP82AD6LXF,5,Excellent! No artificial junk.,"It last longer then most gums today. Plus it doesnt have any artificial coloring, flavor or sweeteners. I also like the green ones." +66,1351123200,B008HF0KS2,AG4YGLLIE8BWP,5,Makes me drool just thinking of them,"The Brit's have out done us. The flavor is supreme,they satisfy my hunger for steak and onions...
Get them while you can... Their other flavors are great tooo" +67,1351123200,B00472OAJ4,A3EL8POFM0SH1O,5,My precious child (yorkie) REFUSED to eat for 2 months!!!!!,"I have literally been frantic over ""Celli"" (nickname for Andrea Bocelli) not eating anything except treats..no nutritive value..for 2 months!!! I cooked grilled chicken breasts, beef cooked every way, even lean pork chops...no deal...It is very grueling to watch your only baby starving!!! I tried 32 flavors of dog food. He has always preferred dry food over canned food. So I was perusing the dog food offered by my ""hero sight"" Amazon,and something about Halo Spots Stew caught my attention. For days I went back and forth between flavors that my pooch would find appealing. Finally, I settled on the adult lamb recipe. After ordering I thought ""Oh no, the kibble is going to be too large for his small mouth""( Am I neurotic, doting mother or what?) Anyone who thinks I am totally disgusting doesn't know what this situation is like!! I was prepared to chop the dog food in my food processor...BUT, the food arrived quickly, as usual for Amazon, and what a surprise!!! Upon opening the bag of food, to my pleasant surprise, the smell of the food was so good..so fresh.. and the kibble is so small!! Now for the happy ending...Celli ate every bit in his bowl as if to say ""This is what I've been waiting for""...Mommy will rest tonight...Thanks Halo and Amazon...My love and gratitude to you!!!" +68,1351123200,B008MOXGKC,A1BCDQAWWZ4JT0,3,Not Syrup,"The product has a good strong ginger flavor and is sweet; it is, however, not syrup. Sweet ginger water would be a more accurate description." +69,1351123200,B0002DGL26,A1QNH9R3AJ1T3K,5,Great product for puppies that are teething!,"This product was great for my teething puppy, who loves to chew everything and anything that he can find. Definitely a great alternative and he loved all three of the bones." +70,1351123200,B002U5A7U6,A1LBGXE29GG1IR,5,Addictive,"I never cared much for the original Cherry Coke, but I love the new Cherry Zero version. Twelve cans just don't last long around me as I will drink one after another." +71,1351123200,B002GWH9NG,A1U3V5T2YANITN,5,My favorite base coffee for blending,"There are many wonderful and complex flavors that good coffees can offer. This is my mainstay since it has great smooth and rich coffee flavor. It isn't acidy or bitter at all. Actually I like a little acidity so my favorite is to blend this with the Smoked Coffee offered on Coffee Bean Direct's website. Dark Sumatra makes the best base coffee for any blend that I've tried. Costa Rican Tarrazu won't stand on its own but will add just the right amount of acidity to make it my second best choice to blend with Dark Sumatra. If you want to discover the flavorful world of rich coffees, Dark Sumatra is the starting point, then start playing with it." +72,1351123200,B004NRHBBM,A1CXULFGIOT346,5,The best sticky rice out there,"I love Tamanishiki rice, it's some of the best quality rice you can get. True it's a little more expensive, but a large bag like this lasts a while and I find it to be worth the cost for a rice-lover like myself." +73,1351123200,B0009K77O8,A06364072LBY1F3ING9XN,5,"Best Tea, Fast shipping & packed and sealed nicely!","one of the best tea i've ever tasted so far! I had a hard time finding brown rice tea in any supemarket in NH, so i looked @ amazon and got one! If i ran out of tea, i will order more at Yamamotoyama :)" +74,1351123200,B0032GL19S,A25C2M3QF9G7OQ,5,"Tasty, and the yogurt coating is a nice addition","While I like yogurt out of a cup, I'm usually not fond of things that are dipped in yogurt. These are the exception - the yogurt coating on the bottom adds a very nice taste to the granola. Sweet, but not candy bar sweet. I prefer the strawberry over the vanilla, but both are good.

The granola itself is soft but still holds together as a bar. The calorie count is decent (120 per bar). The nutritional content is not stellar, but reasonably good and much better than candy alternatives.

Highly recommend, especially if you can get them on a price dip." +75,1351123200,B0083T6HC0,A3SDC426NPSMQE,1,NOT HAPPY!!,"If I can learn anything from this I have learned~You get what you pay for!! Please, whatever you do, don't get this particular package, because you will be horribly disappointed, unless you want the K-cups no one else would want or drink!! Yes, they are all different, but out of the 35 there I will only be drinking maybe 10 of them, the rest I will try to give away although I doubt anyone will want them!! Alot are decaf, which I don't drink, or they are tea or hot chocolate. I was hoping for actual flavored coffee, now I know to only order my K-cups from Keurig or I will buy them at the store!! I am sadly disappointed in this assortment of K-cups, and the person that packed my bag really did a HORRIBLE job!! Oh, and 4 of them are either empty, or the coffee in them is hard and stale!!" +76,1351123200,B000DZH1D6,A3GV7P0JK4I586,5,Best Ever Cookie,I bought two cases of the Pecan Shortbread cookies since I can't find them in the grocery store anymore. The other flavors are not so good. These are a great value when you combine with free shipping. They have a very good taste and you wouldn't even guess that they are a gluten free cookie. My shipment arrived unbroken but I have bought in the store and they were crumbs. I love this product. +77,1351123200,B004EDHD1I,APPNN3ALT0ME2,5,Great alternative to daily Starbucks trips,"My wife and I are big fans of hot morning drinks (with caffeine), especially in the winter. We realized this to be a great way for us to get our morning fix more affordably from home. It's been about a year now and somehow this ""flavor"" tea hasn't gotten old yet!" +78,1351123200,B0047462NO,A1JWY18IISLJZA,5,Perfect Bloody Mary Supplies,"It's the best bloody mary mix. And this is the perfect size. Enough for 1 or 2 drinks--you'll never throw any away. Maybe not the best size if you're mixing up a pitcher, but if you're just making a couple to half a dozen or so, this is great. Shipped well and lives nicely in the garage until called into action." +79,1351123200,B004754DO8,AT4GQGKQ8Z18Z,5,WAGGIN TRAIN CHIK'N BISCUITS,"MY DOGS LOVE THEM, HOWEVER TENDENCY IS TO GIVE TOO MANY, AS THEY BEG FOR THEM. THEY RECOMMEND 2 PER DAY AND I FIND THAT HARD TO STICK TO." +80,1351123200,B003NDDZR6,ASEUIZKTJIFQX,5,Found what I been looking for,I have found what I was looking for in a popcorn seasoning. I have been looking for at least three years. I plan to order more soon. +81,1351123200,B0029XLH4Y,A2CSPTFY7QPT78,5,Great bold taste-- compare to Emeril's Bold,"I've been drinking Emeril's Bold for a year and a half, and wanted to try something different. A review led me to this brand, and I love it too! I'm a strong coffee gal-- I like Starbuck's-- so this is right up my alley." +82,1351123200,B0029XLH4Y,A3NIBMLKUK73JC,5,Great flavor no bite,This coffee is a favorite of mine and many others. Jet Fuel is dark roasted but smooth and rich with no bite! +83,1351123200,B008HF0KS2,AWFA8N9IXELVH,1,Deceptive description,On Oct 9 I ordered from a different vendor the same product 1.2 oz- 6 pack. That order was 6 packs of 1.2 oz ea. When I saw this item I decided to order it. it read the same as my first order 1.2 oz- 6 pack & the price was approximately the same. I received the order today & what is it but 1 large bag of small packs totaling 1.2 oz. I call this deceptive not curious as another reviewer put it. I think the descriptions should be more specfic. The 1 star rating I gave is because of the description not the product itself. The chips are actually very good. +84,1351123200,B008ADQOL8,A1YYFX661KECLP,5,Incredible matcha!,This matcha is incredible - I got hooked on plain matcha - so having someone kick it up a notch and add this incredible flavour is amazing. I'm a big Boston Cream donut fan and this has the same taste too it. Highly recommend it! +85,1351123200,B00283A8TA,A3UC586EDL2M96,5,back to nature oatmeal cookies,Back to nature cookies are great cookies to buy ...they taste great and are more healthier for you ...cant beat that ..they are awesome ..we love all of the varieties ...these are all the cookies i buy ..all the kids that come to my house they will eat the entire box in one sitting ..and i love the fact they are getting better ingredients without all the bad stuff +86,1351123200,B0083T6HC0,A20BV8REQQXB8R,5,VERY HAPPY!!!,"I ordered on the 23rd and it was deliverd 2 days later. It was in a brown paper bag, but placed in a box. I had 35 exactly and only 1 repeat. People complained of too much decaf or half-caff which I would like but only had 3 of those. Only two hot cocoa and two spiced cider. I loved the variety and looking forward to a whole new variety next time I order; and I will order again." +87,1351123200,B003CIBPN8,A2CUGPQKBWYTQH,5,Great taste!,The best coconut water...it is much better in the bottle than the paper box. I would recommend it. It even tastes great at room temperature. +88,1351123200,B000E3ZFDU,A1PQDL14230X6U,5,Delicious!,"I enjoy this white beans seasoning, it gives a rich flavor to the beans I just love it, my mother in law didn't know about this Zatarain's brand and now she is traying different seasoning and she likes it very much.
Thank you Amazon for having it because now I can't find it in stores, I like to have this 12 boxes because I can made it whenever my family want it." +89,1351123200,B0034EDMCW,A1XV4W7JWX341C,5,"Ordered these bars for my daughter in college who's on the go...will re-order for both of us, they are soooo yummy & HEALTHY!",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the cranberry too.. +90,1351123200,B005DGIAMQ,A1PZONL4WESG1W,4,My Pit Loves It,This Nylabone chew-toy stick is great for my pit. She loves to chew things but gets tired of the regular shaped bones. This Nylabone stick is perfect. It's durable and my pit likes the hollow stick-shape for some reason. I think the bacon scent also attracts her. I definitely would recommend this toy for anybody that has a big dog that loves to chew! +91,1351123200,B005DGIAMQ,AW7RYHDFTRUXM,4,Nylabone DuraChes,"Not as hard as the white Nylabone chews but my chewer likes it better. It clearly will last a long time. The cavity for placing food products is not useful as cleaning it is problematic and as it becomes chewed, is difficult to insert stuff. Overall it is a good chew stick." +92,1351123200,B0065AOUKK,A3KK7HD497XU5Z,5,will do it again,Service was great. Hot White Chocolate is awesome. I will be ordering again soon!! Even the family is hooked and wants some more to. +93,1351123200,B000YSTGGW,AQH6FCS9F0Z9R,1,Makes babies constipated!,"Wrongful advertisement! I usually don't write any reviews but I had to give this one a star. Ever since I gave my 6 month old this organic oatmeal cereal (which she seemed to like with my breast milk) she has been constipated. Day no 4 and I am still waiting for her ""full diaper""! I can see how much she is suffering trying to poop, I tried prunes and this product is still sitting in her little tummy. Waste of money! Disappointed in whole foods that they would sell such a bad product!" +94,1351123200,B000KV7ZGQ,A281J4UAH70YBA,5,Fantastic for energetic big pups,"My 70 lb Shepard/boxer mix absolutely loves her tug-a-jug. It takes her about 20-30 mintues to finish a cup's worth of kibbles. She's had it for about 5 months, and has yet to get tired of it. Also it's really held up well." +95,1351123200,B0041KMB2U,A1DDY9Q3462A3O,5,Dat'l Do It spicy Pepper Sauce,"This sauce is hot, tasty and spicy! Much hotter than other Datil pepper sauces, and full of smokey flavor, like a bar-b-que sauce with a kick! I love it!" +96,1351123200,B000GZS9U2,A2H8FXK339OE5N,5,musical fruit,"Perfect pantry basic on the non meat protein shelf. Long shelf life, mixes well in many soups and stews and free of many contaminents. It is good for you and versatile." +97,1351123200,B004P3GGTW,A1Y4LW3U3U73EP,5,"Great coffee, free shipping, great price","We love this coffee. We are not coffee connoisseurs but do enjoy a good cup of Joe. It works wonderfully in our french press and makes a nice, fresh, coffee shop grade cup." +98,1351123200,B002UV8F36,A1G06YCQOTEOU2,5,Woody and Arlo's favorites!,"My two dogs LOVE these! I cut each strip into bite-sized six pieces. I like the fact that they are quite a healthy treat and low fat.
Healthy Partner Pet Snacks All Natural Beef Strips, 6-Ounce Bags (Pack of 4)" +99,1351123200,B000TV8RIW,A32IRVDU6EYX3D,2,Contains aspartame!,"I ordered this gum based on the premise that it contained xylitol rather than aspartame or other undesirable chemicals sweeteners. It does, in fact, contain xylitol...but all the other terrible stuff as well, including aspartame. I think that the item listing is misleading, or they have changed the formulation of this gum. I'm disappointed that I could have purchased chemical gum at any local store. Seller should make sure that the listing accurately describes the ingredients. It has a good taste, and I will use it rather than spend the money to send it back, but it's not what I was looking for. I will stick with SPRY gum from now on.

The seller did ship very quickly." +100,1351123200,B004H6MV28,ANM000BVVUSCT,5,"Exactly what I was looking for: Fast, fantastic Chai!","I was skeptical as to how good an all-in-one Chai Tea for Keurig could be, but my doubts were erased at my first sip! The spice blend is great, as is the sweetening and the dairy component. This is the kind of thing I was hoping I could get from my single-serve coffeemaker!

Order some, you will thank yourself every time you brew a cup." +101,1351123200,B004OFAX5Y,A2UHAFWITF9JYP,5,Scriptures are incredible! Makes a SUPER tasty gift,"Thank you Shepherds Garden for a great product! The scriptures are well chosen, thoughtful. It really makes a perfect gift and accompaniment to quiet time (or any time!) As for flavor, compared to celestial seasoning's (non-organic) country peach passion, Shepherds is has soft peach tones and a more earthy flavor. Unless you're not a peach person or avid tea lover you should love it. It's organic too, which is VERY important for tea, and being a white tea it also contains less fluoride if that's a consideration for you. I got 5 boxes directly from their site for my mom, grandmom, sister, and friends this Christmas (great to pair w/ homemade breads or coffeecake!). If you don't think you'll dig peach they have a chai that's truly superior to any chai I've tasted, cranberry is good & unique, and peppermint just rocks (free samples at their website too...). No, they're not flavored with crazy artificial chemicals, sweeteners, non-organic leaves, and colorants. But I LIKE THAT! And for goodness sake they're Bible verse teas! How cool is that?!" +102,1351123200,B003D4MYLS,AWZZUM4YPP3H9,5,I couldn't love the double bergamot more,I'm absolutely addicted to this tea. it's the best tea I've ever had. when Starbucks changed their black iced tea I had to find a replacement. this stuff is better than anything ever. I'm very passionate about tea. I've never had it hot but I'm sure it's delicious that way as well. +103,1351123200,B000O5DI1E,A2I4IQ00OTDIN8,5,Great product,"Pill pockets make it so easy to give our elderly dog his several medications each day. It used to be such a hassle; now as soon as the dog sees me at the medicine cabinet, he runs over to me, hoping it's time to get his medicine." +104,1351123200,B005HGIVTY,A3J1A0BZ0K5Y7B,1,naked coconut water,I have tried many different coconut water brands and flavors. This one does not have great flavor compared to other brands. I would not recommend this product...very bland. I should have listened to past reviews. +105,1351123200,B0032CJPOK,A1KG2FZQW58S2F,4,"It's not Mother's milk, but it's great formula!","After going back to work full-time, I really struggled with keeping up with nursing my baby full-time. I just could not meet the quota that baby wanted to consume through pumping, no matter how often I pumped, what supplements I took, what diet I had, etc. I started using the Enfamil samples they sent me in the mail before I had my baby. First of all, I was kinda disgusted with how yucky it smelled. Baby didn't seem to like it either and spit up most of it after drinking it. We went to try their formula for babies who are gassy and as I was waiting for it to warm up I read the ingredient label and was shocked to see that the very first ingredient was corn syrup solids. Really??? In infant formula? I know it needs to contain sugar but come on!
So that started me on a research binge and I found that all formulas have to have some sort of sugar in them, but the kind of sugar is what matters. Moms make lactose and glucose (although in smaller amounts than lactose) and there is also fructose and sucrose. Fructose is what they make from corn (AKA HFCS), and sucrose is what they use in artificial sweeteners. I voted primarily for lactose and glucose, but found that a lot of formulas focused on fructose and sucrose, and if they had glucose it was from brown rice (this was during the scare that rice had arsenic in it).
FINALLY I found Earth's Best. I was impressed that not only did it have lactose and glucose but glucose was the 4TH ingredient instead of the first or second. This was the most important point to me in purchasing, but even more important -was baby going to like it? When I mixed it the first time it didn't have a sour odor to it, and it smelled like milk (granted, as all formula, it smells after it sits for a while). It even looked like milk (hooray) AND baby gobbled it right up. ALL OF IT. She loves the stuff! Best part is there are no problems with transitioning from breast to bottle, so now she is supplemented with the formula after her fill of breast-milk when I'm home. She even gets excited to drink it!
I think there's something everyone needs to keep in mind. We don't live in a `clean' society any more. Everything has toxins and chemicals, you have to choose the lesser of two evils. Everything is bad in excess: sunshine can give you cancer, tap water can give you cavities and diseases and raw fruits and veggies can give you pesticides. Even air is bad for you, depending on where you live. So I say, do the best with what you have and don't let yourself get too carried away with all the hype about harmful stuff. In the end, I feel I made the right choice for my baby and chose the next best thing to breast-milk that I could find that was relatively affordable and easy to obtain." +106,1351123200,B0034EDMCW,A1Z42SO1EE4L02,5,Great Taste,I love the KIND bars. They taste great and are much healthier than other bars. Also they satisfy your taste for something sweet so are healthier than eating candy. +107,1351123200,B003VXFK44,A21VWSCGW7UUAR,4,"Good, but not Wolfgang Puck good","Honestly, I have to admit that I expected a little better. That's not to say that this is bad coffee - in fact it's quite bold without being too acidic, and pretty satisfying overall. I think my main problem is that Wolfgang Puck's name is attached to it, so perhaps it set my expectations a little high. I have a Wolfgang Puck knife set that I adore, and is very high quality for what I paid for it. This coffee was on sale, so it was well worth it also, I just hoped for something that would knock my socks off - which it didn't. I also purchased the Breakfast blend, and Jamaica me crazy at the same time. The breakfast blend was the best, in my opinion, and the jamaican coffee smelled the best, but was the least successful." +108,1351123200,B006N3I0DM,AMUD7YJD0Y8D3,5,My new favourite for a nice bold morning brew,"When using a drip coffee maker, I often slipped in an extra spoonful of grounds to make my morning coffee extra strong so that the milk would not dilute it too much. After recently having bought a Keurig, I was a bit disappointed at the somewhat watered-down light-bodied taste of most of the K-Cups which came as a sample with it.

So my first inclination was to browse the Amazon reviews of several varieties of K-Cup coffee and take advantage of what others who like a nice strong bold cup of coffee had learnt by trial and error - and that was a good move! I took you all at your word, ordered a 50-pack of this coffee on Monday, had my first cup of it this morning, and decided it was worth submitting my first ever review of any Amazon product ever, both to give it a 5-star rating myself and to thank those of you who take the time & trouble to give honest reviews for the benefit of people like me.

So for the record, on a price and quality scale this is my new favourite K-Cup coffee. Until now, my favourite on a pure quality scale was Starbucks Caffè Verona, Dark Roast, 27-Count K-Cups for Keurig Brewers (excellent but very pricey!) and for a bold-yet-affordable cup was Green Mountain Coffee Double Black Diamond, K-Cup Portion Pack for Keurig Brewers 24-Count (also excellent, and less pricey, but IMO not quite as nice in flavour as Emeril's ""Big Easy Bold"").

For anyone looking for a nice strong full-bodied and flavourful K-Cup coffee which won't break the bank, do try this one. If you're like me you won't be disappointed." +109,1351123200,B007JFXWRC,APVK8GGSSUDCE,5,A great caffeine-free tea!,"I like everything about Lipton's Blackberry Vanilla Herbal Tea! First of all, the box is very practical as it ""snaps"" closed to keep the tea bags fresh, which is always a good thing! The picture on the box is appealing and shows what the flavor is to a ""tea"" (pun intended). The pyramid tea bags are great for diffusion. And the flavor is wonderful! You don't need to add sugar or sweetener but it tastes good either way. Even a bit of honey can change the flavor but it's all good.

I give this product 5 stars!" +110,1351123200,B007JFXWRC,A3U1S5KR287T3I,5,Yummy!,"I love this tea. When I made it, it was a purplish color, and kind of strong. If you wanted it weaker you might want to not let it steep as long as I did. You can definitely make out both the blackberry and vanilla, and they blend very nicely. There is a slight aftertaste, but it isn't unpleasant. I made it hot, but didn't finish it and the air conditioning was on, so it got cold. It was quite cold when I tried it for the second time, and it tasted great! This is the type of tea I like drinking in the afternoon; I won't be switching my morning Lady Grey tea for this.

I love the tea bag design. With the pyramid tea bag I can see what the tea is, rather than look through an opaque square tea bag. The tea tasted very fresh, too." +111,1351123200,B006N3I0DM,A2BAYRWJ9I0LLB,5,Emerils Big Easy,"Best coffee available, I drink it on the middle setting of the five our maker has and one cups is enough." +112,1351123200,B007JFXWRC,A17C7XZHFOS12W,2,not really my cup of tea,"I love tea! I was hoping that this would be as tasty as it sounds-- blackberries! vanilla! caffeine free! But... eh. Sorry for the bad pun that I used for my title, but really-- it's not for me. It smelled great in the box, so I guess that's another reason why I was so disappointed in its flavor. I had it with honey, and it still wasn't very tasty. The reason why I gave it two stars is that it does taste slightly better as an iced tea, but still, not something I'd routinely drink.

As for the tea bags, they're really nice-- I love the shape and how sturdy they are. I might have to try another one of Lipton Pyramid Teas." +113,1351123200,B007JFXWRC,A26TYDQ2BFD4EG,4,"I do not love it, but I like it.","Blackberry tea...vanilla tea...you like it or you don't. I like it because it's decaffeinated and easy on the throat. To me, the pyramids do not pose any steeping advantage but I do like how they don't come individually wrapped. I shudder to think of where all those envelopes went as I discarded them over the years.

So if you're serious about your tea, by all means, go ahead. I do not love it, but I like it." +114,1351123200,B006W6YHV4,A27DIIBWR2ASZY,5,Crack for dogs.,These thing are like crack for dogs. I am not sure of the make-up but the doggies sure love them. +115,1351123200,B0076YVPKC,A1DRM3JV6T5O6P,4,Fine for a microwave dinner,The Barilla Mezze Penne with spicy marinara sauce is easy to prepare and tastes better than similar products. The sauce is not as spicy as I expected it to be but does have a flavorful tomato-y taste. The sauce is separate from the pasta and must be combined after cooking. +116,1351123200,B007JFXWRC,A8KWNRQPZLAXC,4,"Nice flavor, pleasant tea","These triangle tea bags are small, so I thought they might make a weak herb tea. But it's quite pleasant in flavor, not weak, not overpowering. My taste buds first picked up the blackberry, with a candy-like flavor, followed by the vanilla. Best flavor is experienced when the tea is allowed to cool 5 minutes before consumption. I do not find a sweetener necessary in this tea." +117,1351123200,B007JFXWRC,A2QEZU2SHYBHM5,5,My wife liked it,I ordered this for my wife and she really liked it. The tea brews quickly with the more open bag that allows water to flow around it better. Excellent product with a full rich tea flavor as the end result. +118,1351123200,B007JFXWRC,A33LH3ROCD8AY4,4,Highly recommended.,Often times I find herbal teas either too weak or too overpowering. This tea is a perfect blend.... Not too sweet or too tarte. +119,1351123200,B007R900WA,A14EIPV17IO55P,5,Excellent buy.,Ideal addition to Keurig coffee maker. This is our second one and this one was $10.00 cheaper. Will recommend to all our friends. +120,1351123200,B00015UC4S,A3J5U6VT5Z7IDU,2,not worth the money,"I works fine but unless you are a commercial producer the price is ridiculously high. It's at least 10 times more expensive than corn starch, which has been successfully used for likelt hundreds of years w/o a problem. I wouldn't buy it again" +121,1351123200,B001EO7FZO,A13GZCHAMKWYBT,4,Would be better packed in oil..,"These are good. They are truly roasted and have that roasted flavor. I would have given more stars if they weren't packed in water. I was surprised at that. I ended up draining the peppers thoroughly and putting in ziplock quart bags in the fridge. Of course, only used one can because these are the big cans. I use a bag at a time, saute in olive oil just to heat through with the herbs and spices that I intend for the meal. Excellent w/ Italian and other sausages and also had a cold pepper + olive oil salad. I used one entire can within a week and a half for several good meals and it certainly saved time during this hot summer not having to roast and clean my own!" +122,1351123200,B0007OF0F4,A37M5ZMHCCSTN6,5,excellent steak and meat seasoning,"The Lynchburg seasoning adds great flavor to all meats and is great for grilling. The various seasoning ingredients give a zest to chicken, pork and beef which enhances the flavor of the meat. This is a must have item !!" +123,1351123200,B000I5DJRI,A4QYIPL4Z43U2,5,Licorice for the Gluten Free,It is a very good tasting alternative to other licorice. Being Gluten Free and still getting to have a few good tasting snacks helps to stay on track. +124,1351123200,B000SATIFA,A2CXROF75RTCXB,2,Flavorless green tea,"The vacuum pack bag is great. The tea is blah. There is a hint of tea flavor. There are many whole leaves, but also quite a few small bits of leaf. I didn't find any stems in my first cup of the tea (brewed directly in the cup without a filter)." +125,1351123200,B006GA666U,A2BAYRWJ9I0LLB,5,Emerils Big Easy,"Best coffee available, I drink it on the middle setting of the five our maker has and one cups is enough." +126,1351123200,B006GA666U,AMUD7YJD0Y8D3,5,My new favourite for a nice bold morning brew,"When using a drip coffee maker, I often slipped in an extra spoonful of grounds to make my morning coffee extra strong so that the milk would not dilute it too much. After recently having bought a Keurig, I was a bit disappointed at the somewhat watered-down light-bodied taste of most of the K-Cups which came as a sample with it.

So my first inclination was to browse the Amazon reviews of several varieties of K-Cup coffee and take advantage of what others who like a nice strong bold cup of coffee had learnt by trial and error - and that was a good move! I took you all at your word, ordered a 50-pack of this coffee on Monday, had my first cup of it this morning, and decided it was worth submitting my first ever review of any Amazon product ever, both to give it a 5-star rating myself and to thank those of you who take the time & trouble to give honest reviews for the benefit of people like me.

So for the record, on a price and quality scale this is my new favourite K-Cup coffee. Until now, my favourite on a pure quality scale was Starbucks Caffè Verona, Dark Roast, 27-Count K-Cups for Keurig Brewers (excellent but very pricey!) and for a bold-yet-affordable cup was Green Mountain Coffee Double Black Diamond, K-Cup Portion Pack for Keurig Brewers 24-Count (also excellent, and less pricey, but IMO not quite as nice in flavour as Emeril's ""Big Easy Bold"").

For anyone looking for a nice strong full-bodied and flavourful K-Cup coffee which won't break the bank, do try this one. If you're like me you won't be disappointed." +127,1351123200,B0051ZCN9A,A3GLNZMOBLB710,5,Great for small breeds with sensitive systems,I have two small mixed breed dogs each under 10 pounds. This is to only food I have found that they can eat with out any problems. +128,1351123200,B000KY6NQG,A2EV9OYPMK4R9M,5,Crunchie,"Nowhere near as good as Violet Crumble from Aust. but a good subsitute as it's off the market. The chocolate is good, the honeycomb, a little sweet." +129,1351123200,B000GW257S,A353PLOL85WBCV,5,Splenda French Vanilla,"Our local Wal-Mart used to carry this product, it has just a touch of flavor to your coffee without all of the calories. Would recommend this and have to a few friends." +130,1351123200,B00412K49A,AT997T4MTH9B7,5,Love this stuff,This Green Mountain dark magic coffee is just what I was looking for. Strong enough taste to enjoy and it gets me going almost immediately. Haven't noticed any after taste and buying the 120 count it pans out to like $.61 a cup. Try it you'll like it. +131,1351123200,B001P7539A,A1582ZSGIITFP6,4,Right balance of butter and salt,"Pop Secret is one of my favorites and the Movie Theater Butter has the perfect blend of butter and salt for my tastes. The packages I received do not expire for 6 months. Pack of 6 is 18 bags, but in my house they should all be gone long before expiration." +132,1351123200,B0012KB3ZI,AIFGUCOUOOFJ3,5,Great for my older cat,"My older cat just stopped eating the dry kibble food a few months ago. She used to get Fancy Feast as a treat only, but now it is all she will eat. A lot of canned cat food smells repulsive! Fancy Feast actually looks & smells decent. The cat knows which cabinet I keep her food in & she sprints to the kitchen when she hears it open." +133,1351123200,B002YHU9LC,A1TWM78I835NGZ,5,"Mmmmmmm, popcorn!",Great popcorn! I'm a repeat buyer too. One pack makes just a teeny bit more than my Whirly Pop can hold with the lid closed. The kernels pop big and have a great flavor. The hulls are farely tame for big kernels. My only suggestion for Wabash Valley Farms would be to boost the butter flavor just a smidge. Maybe I'm old fashioned but popcorn popped on the stove top is so much better than microwaved. +134,1351123200,B002GWH92W,A343264GQDQ8Z0,5,It don't get any better for the price,"I am about half way through my first bag and looking to try a different bean. It still has the yummy oil on the beans that you only see when it is fresh or you roast your own. I like my coffee strong so I give my grinder several more grinds almost to espresso, but if you pre-wet a paper filter it works out great in a drip pot. It also causes a build up in the grinder which a tablespoon of rice fixes that. My difficulty is my own making. It has nothing to do with a superior product. I plan on staying with this company as long as Amazon handles it and am looking forward to trying all their beans to find my favorite. This is a very dark bean without almost no bitterness. You can serve this to the most discriminating guest with pride." +135,1351123200,B00954NYVY,A2S29X1UALPLSO,5,"Green Mountain kcup Black Magic, Black Diamond Extra Bold, Nantucket Blend","I have tried many of the available coffee's available but, I enjoy a robust coffee in the morning and both Black Magic and Black Diamond Extra Bold meet and exceed what I was expecting. The Nantucket Blend is a great coffee for anytime of day or night. I usually wait until Amazon has a sale on these to make my purchase...Make sure when you buy k cups that the Amazon Prime logo appears...Without the Amazon Prime Logo, I have found what I received in the past did not reflect what I had ordered.. Substitution get made without your knowledge and sometimes count is short, etc..." +136,1351123200,B0002I0GUY,A1AFOYZ9HSM2CZ,5,Happy with the product,My dog was suffering with itchy skin. He had been eating Natural Choice brand (cheaper) since he was a puppy. I was nervous to change foods. The vet suggested to change foods sand see if the skin issues cleared up. Wellness brand did the job. My dog seems to love the food and the skin issues cleared up within a few weeks. +137,1351123200,B000FPJ78G,A3F14GVSJMJ0WH,2,dingos,The red part of the dingos was missing from 3 of the balls in one bag and two of them in the other. The others have not been opened yet and I found this very upsetting since this is the part the the puppies go for first. I don't mind paying that price if it is as shown. The bag show no white only balls.
Theresa Miller +138,1351123200,B0087ACS5A,AJZKIQO848M2P,5,Half and half Iced Tea,Have used this product for a long time and still enjoy its taste very much. Really refreshing and sometimes I add just a slice of lemon. +139,1351123200,B002TOEMWW,A23NBI33FUN8F9,1,My Chihuahuas HATE This Product,"My two Chihuahuas loved ""Cadet Gourmet Pet Treats Duck Breast Fillets"", the 32-Ounce package I had been buying at Costco. However, I discovered it was made in China and feared this product could make them sick or cause death. So I started searching for a company in the USA that made dog jerky treats. I found Plato Natural Duck Strips and ordered a bag. This product does not look like or smell like duck jerky strips. My Chihuahuas sniffed it and just walked away. It doesn't even smell like duck. Rather, it smells somewhat fishy. A waste of my money!" +140,1351123200,B003C15EUK,A32QQ3P51L0LO4,5,Always great!,"Got these for my sister who has Celiac disease and needs gluten-free. These are one of the few candy bars she can have and
she LOVES them. So glad they come in the Pops, Jr. size. Just right!" +141,1351123200,B003Z6ZGZK,ALUMNTP7GDBS8,5,Don't underestimate this little packet,"Easy to travel with. I've used in Europe, I've used in American Wilderness. Light in wieght, strong in kick and flavor." +142,1351123200,B004Q89VXY,A14RUZEAZ9T15Q,5,The not boring black tea,"I find that most black teas are boring. Not this one. It has a fresh flavor that I love. I only drink iced black tea and I never use sugar or cream. You may love it, too." +143,1351123200,B005HVDZRM,A1QU5WEF3LS9YD,5,Twinings---a good cup of tea,I have been drinking Twining's tea for years. It used to be made in England but now they have a plant in North Carolina for the American trade. The tea is excellent. I drink the decaf for health reasons and find that it is as tasty as the regular tea. +144,1351123200,B002VL66C2,A1NTG1A0WLKEOG,5,Bennicks perfect mints,"These are simply the best mints made. I buy them when I'm in Scotland, and often have my daughter send them to me from Edinburgh. I am so pleased to be able to purchase them through Amazon. Please continue to have tem available." +145,1351123200,B003VCCYGW,A15NY8LOWZIUSZ,1,Small fortune spent for dead tree,"I purchased this plant after spending a small fortune hoping it would be all I hoped and read about in the description. Within the first week of purchase the plant shed all it's leaves and seems to be dead or dormant. It arrived with full beautiful leaves and a few flowers, I had high hopes. I followed the instructions to the tee and within no time it lost everything. I took it to a friend who is a professional with bonsai plants and he thinks it was sent as a dying tree meaning it comes looking great but it is really dying. I'm so angry that I spent so much and have had nothing but problems. I do have a green thumb and can usually resurrect anything but this may be a lost cause. I've tried to prune back the dead and fertilize and hope it will pull through but have a feeling I wasted $50.00. Don't waste your time hopes or money on this item. Buy local so you have support and hopefully a guarantee." +146,1351123200,B0049D7ICM,A5ZHJ9O3T5DS1,3,easy to use,Love the fragrance of this product. These bath salts smell wonderful and easy to use. A great gift idea would be to repackage this in individual containers for friends as a spa gift. Great price too. +147,1351123200,B006W6YHHI,A27DIIBWR2ASZY,5,Crack for dogs.,These thing are like crack for dogs. I am not sure of the make-up but the doggies sure love them. +148,1351123200,B003YHCN74,A16ZZXKX3U1WTQ,2,not alot of taste,"Put a cup in my rice cooker. Couldn't taste much spice -- was fairly bland. Container is small. I attached pictures. To note, Saffron is the last ingredient in the ingredients list so there's really hardly any." +149,1351123200,B0039OINN0,A1DFNY4MZG7NYO,3,buttons,They were ok but I was not impressed by them. The cost is too high and is not worth it for this product. +150,1351123200,B005HGAV0Q,A3557OEC4JU5RS,5,Great select ion.,These were great . I loved the varity. This is the second time I have ordered these. I will order them again. +151,1351123200,B000EUIZ8K,AOHXBDUSQ62SL,1,This is not the exact one like at Starbucks,"First, this is a good tea, but it is not the exact one like at Starbucks. The one at Starbucks is different kind of teabag that has a silk like bag. It's leaves are different too. They are more fuller and these are more ground. Now I realize why the tin box (Tazo Zen Green Tea) at Starbucks could be twice as expensive as this (the tin box has 15 bags for $8.00 at Starbucks). If you want the rich experience of the Zen Green Tea, buy the tin box from Starbucks. And of course, 'You get what you Pay'!" +152,1351123200,B008O2EHNC,A1ERISG9MS2M0L,1,weak coffee if used in Hamilton single brewer,"This product can not be returned, so when the coffee turned out weak this was a real waste. I used this in the Hamilton Beach single cup brewer." +153,1351123200,B0007A0AQW,A15X1BO4CLBN3C,5,cant get enough of it!!!,"Our lil shih tzu puppy cannot get enough of it. Everytime she sees the bag, she starts jumping up and down!!! Our older shih tzu doesnt like it at all but its perfect for puppies! Will definitely reorder!" +154,1351123200,B0067EO65S,A21BYYTI547OWE,4,not enough,"i love the cereal, but there is too much time elapsed between shipments. since i have a bowl every morning, i run out quickly. i wouldn't mind shipments coming twice as fast." +155,1351123200,B004H4R59Y,A2YDZGGEQPLHYY,4,yummy low fat snacks,Pretty yummy for a low fat snack...crunchy and tasty with a little zing from the roasted peppers. You can also get them plain with sea salt which are also quite satisfying. Great substitute for chips and such which are just empty calories and impossible to eat only a few. I am pretty sure the lentil chips have some nutritional value as well..... and they don't taste like you are eating styrofoam like some of the rice cakes out there. +156,1351123200,B0028677GY,A597F444N325M,5,Doggie loved these,"We are very careful to feed out pooch good treats. We look for American made. We also want to find the right ingredients on the label. These treats had that. More importantly, my dog loved them. I guess she thought she was getting 'junk food'. But she was not. She was getting the good stuff. I compared the price to other treats we buy and found these very reasonable." +157,1351123200,B000O5DI3W,AL3P8NCMOOEIH,5,Pill Pockets,Our dog loves them and she is kind of a picky eater. Makes giving her medicine for her arthritis very easy. +158,1351123200,B002XHW2PY,A3WH0FZKD9K94,5,Good for holiday candy,"Excellent product. Has a high enough cocoa butter amount so it can be used in candy making for holiday gifts. If you don't mind tempering, this is a good product to use." +159,1351123200,B000FBQ50I,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +160,1351123200,B001H17CJS,A7UQE24D5SB3R,5,Paws up!,We try different treats for our dogs and they seem to like the Holistic Select biscuits very much. This has good quality ingredients just like their kibbles which our dogs like as well. +161,1351123200,B000VK08OC,A20W0ALUJMJ2F8,3,Unusual taste,"Just got this honey today and tasted it. It has a slightly medicinal taste I don't care for. On doing a little research, I found that the bees feed on flowers of the tree that's also called teatree, and if you have ever smelled teetree oil that's what the honey tastes like..almost a menthol taste. But since it is supposed to have such benefits health-wise, and since it was so expensive, I guess I'll go ahead and try using it..maybe to sweeten drinks or something..but for breakfast toast I'll stick to our good local honey." +162,1351123200,B000LQORDE,AAUVIV5KLSC8A,5,grocery,I like this grocery.

It is too spicy and famous noodle in Korea.

I'm not Korean but I can eat it.

Customer service is so good because it is so speedy +163,1351123200,B000LQORDE,A12FMRU69K335E,5,Instant noodle with best taste and texture -- see Recall Info,"I just researched about the korean noodle recall because I love this Shin Ramyun noodle -- the best taste and texture instant noodle I have ever tasted. It is the Neoguri Seafood & Mild Noodles and Neoguri Seafood and Spicy Noodles that are problematic, not this Shin Ramyun type by the same company Nongshim, read this article:[...]
ADVICE: Because of high sodium in instant noodles, put only partial seasoning package and also try not to drink the soup!" +164,1351123200,B002OFH5G6,AVV2V46YR89K,5,My favorite,"These are one of my favorite snacks. I realize I may not be among the masses, but I find this is a great substitute for candy and the chocolate-nutty taste satisfy my sweet tooth without giving me the sugar high and subsequent crash I get from other bars. The nuggets are the perfect size and calorie limit for a snack or quick pick-me-up." +165,1351123200,B002E0S4UW,ALJYLCIGS3QYU,5,These are Delicious!,"Great taste, right price, fabulous snack! It is the only fruit I can get my little one to eat and I can't keep my high school son out of them either. They are great pick-me-ups on the way to my daughter's soccer practice or before my early morning run. And best of all, Amazon ships these right to my door every month. No more finding the right store who carries them. I just set up the automatic recurring shipment once and it works like a charm!" +166,1351123200,B00027UVL4,A8NAPMCV0PV8F,5,"Wow, what a smooth espresso !","My wife and I have always purchased Starbucks espresso, but our usual supplier ran out which gave me time to research other brands.
After doing some internet recon, we found that lavAzza is Italy's #1 chosen brand, so we figured it was worth 20.00 to try something new and we are glad we did, it was much smoother and all while producing more froth at the top of our mocha's.
We highly recommend this product, I know we will be purchasing it in the future, but only in the 150 pod size bringing down the cost-per-pod or (cpp) as we call it down from .50 per pod in the 40 count box to .30 per pod.

WOW smoother and creamier espresso at less cost than our OLD staple brand..." +167,1351123200,B003QU2LYY,AJZKIQO848M2P,5,Half and half Iced Tea,Have used this product for a long time and still enjoy its taste very much. Really refreshing and sometimes I add just a slice of lemon. +168,1351123200,B000FBM46W,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +169,1351123200,B004BIOE40,A1QNZ59Z8RY9VF,5,Amazing,"Tasted absolutely tremendous. Stuck it in a blender along with some carrots, avocado, soy milk, bananas, and lucky charms and froze the mixture on a popsicle. Would definitely recommend." +170,1351123200,B0045IPX14,A1IQUAUSHJPFUC,5,"Coffee great, seller not so great.","We drink Green Mountain coffee all the time, and it is one of the few suppliers that provide it in Half-Caf. I am a decafinated coffee drinker most of the time but my wife likes a little kick to start her morning and the Half-Caf does the trick, and Green Mountain's Half-Caf has a very good taste without the decalf after taste. We also buy other flavors provided by Green Mountain and they all have a great coffee taste." +171,1351123200,B005M4ERYE,A6QHA4PFD4500,5,Always a huge hit!,"Amazing hit when drizzled over the stock cheese dip recipe that comes with it. Could be the bacon (I use apple thick sliced) but such a huge hit. I had to buy a case but trust me, people will always want a bottle to take home after they have licked the plate!" +172,1351123200,B0081XIAOQ,A156021XP6CYX6,2,"Paw Flapper Fun, But Too Easy","I got my dog the Paw Flapper because he's a Basset Hound mix and loves to use his nose. He's also pretty smart, so keeping him occupied can be difficult. Unfortunately, this is a super simple puzzle. The first time he played with it, it took him about ten minutes to find all the treats. The next time, it took five minutes. There really isn't anything that challenging about it. Opening the flaps takes my dog a second, and all he has to do is keep pushing his nose into the holes to rotate the top and find all the treats. He had fun, but then it's a toy full of treats, so that's a given.

The puzzle does seem to be well made though, so it's not a bad product. It just isn't challenging enough. I'll be returning it and trying one of the other puzzles." +173,1351123200,B003SLXKMS,A3RI57SH1QFOW0,5,Awsome ears make for happy dogs! Excellent value in large packs.,I purchase these all the time. I have two large dogs and am always worried about them choking on rawhide or getting a blockage so I switched to these. Best decision I could have made. These are really big and my dogs beg for them. The larger packs are an excellent value and my dogs just love them. I could not be happier with them and neither could my dogs. +174,1351123200,B007TJGZ18,A2S29X1UALPLSO,5,"Green Mountain kcup Black Magic, Black Diamond Extra Bold, Nantucket Blend","I have tried many of the available coffee's available but, I enjoy a robust coffee in the morning and both Black Magic and Black Diamond Extra Bold meet and exceed what I was expecting. The Nantucket Blend is a great coffee for anytime of day or night. I usually wait until Amazon has a sale on these to make my purchase...Make sure when you buy k cups that the Amazon Prime logo appears...Without the Amazon Prime Logo, I have found what I received in the past did not reflect what I had ordered.. Substitution get made without your knowledge and sometimes count is short, etc..." +175,1351123200,B0028H06ZW,A1H31XV4OODPAK,5,"Dog likes, what's not to like?","My Westie was allergic when we first got her from OK Westie REscue. She has always been on some fish type food, and she continues to do well on this. No problems with it. It is really terrific to buy and have it shipped to the house." +176,1351123200,B002QYEZK4,A1QEDNEA4S6DZZ,4,It tasted like I remembered!,"Our local stores had stopped carrying the McCormick Swiss Steak mix, so I found it online and it was as good as I remembered!" +177,1351123200,B004ADXW8A,A2FUB3ANV9OJ17,1,These are not the oysters you want,"Crown Prince sells some good oysters, but these aren't it. These oysters are packed in industrial seed oil (cottonseed oil in this case), which is not only horrible health-wise, it also doesn't taste good. And they're from China, which has notoriously bad water pollution issues.

These are the good ones: Crown Prince Natural Smoked Oysters in Pure Olive Oil, 3-Ounce (Pack of 9). They're packed in olive oil and they're from South Korea. Unfortunately, Amazon is currently out of stock in them, but these are the ones you want." +178,1351123200,B004ZT86OO,AS9FS55P38TC2,3,Patience,"I am planning on buying these, people you need to have patience with spores. It can take up to a year to germinate. Do a Google search for germination from spores and you will have a few good outlines to follow." +179,1351123200,B0051IX1M0,A3TPPG1BXULZUR,5,i'm addicted,"I have a document of about 10 pages of health benefits of aloe juice. Add onto that the essential benefits of coconut juice. Flavor that with natural sweetning. I always know when my body is lacking something critical, because foods that contain these elements taste unbelievably good. I have been addicted to this juice, which is why I need to order from Amazon in bulk. Finally it is to the point of just tasting great, but I will continue to order as it is still my favorite beverage!" +180,1351123200,B000BP3Y84,A3ET2PU76CPR61,2,"um, it's LOADED WITH SUGAR, shoulda had a snickers heehee...","I could barely taste the flavor, it's so sweet.
I gave two stars instead of only one because it's really my fault (not the maker) I did not doing my usual thorough research!
A minimal google search would have uncovered the fact that sugar is ingredient #1 and corn syrup is #2 Yuk! I have to say, if something taste good, I could give a good gosh darn what the color is...they add red dye... oh why, or why must they add dye. Here's the ingredient list:
Sugar, Corn Syrup, Natural Anise Flavor, Color Added (Including Red 40)
Maybe I can crush em up, add flavor and something else to dilute sugar, they may be savable--oops! that's my hoarder tendency talking" +181,1351123200,B007FGJENG,A23CET5TDIXLFZ,5,Prefect fusion,I love dark chocolate and buy a lot of Dove dark. This is a fusion of dark chocolate and raspberry that is as addictive as the dark chocolate itself. +182,1351123200,B002UZSO2O,A35USNIX7XVUK0,5,Delicious!,"For anyone who says ""I don't like fruitcake"" or anyone who's never had fruitcake and wonders what all the fuss is about, try this. (As long as you're not allergic to tree nuts or any other ingredient.) It's chock-a-block with nuts and moist fruit. I will definitely be buying more." +183,1351123200,B005NDXJ2U,A2XURJBVAMC8SI,1,Great Ingrediants - old and dry,"We must have received a fruitcake made a year ago - this was so dry, you could not slice it- it just crumbled. You could tell the ingrediants were of high quality.

Last year we purchased a Jane Parker fruitcake and it was great, unfortunately, the large ones are no longer available through amazon.com. In addition, the tin ( which my wife wanted ) was damaged in 2-3 placed - fedex is rough on things" +184,1351123200,B000WFRUOC,A22RVTZEIVHZA,4,The cats like it,"My 7 cats like this food but it is a little yucky for the human. Pieces of mackerel swimming in a dark broth. It is billed as a ""complete"" food and contains carrots, peas and pasta. Why, I don't know, since these are not foods that a cat would eat in the wild. An OK alternative to go along with their dry food." +185,1351123200,B005MHRHRK,A1MFARTPOQ9XXJ,5,One of the healthiest of the Plum line,"These pouches are actually worth feeding to my one year old. Out of all of the plum organics pouches, this flavor is on of the four that is totally packed with vitamins actual nutrition due to the sweet potatoes. Most of the other products are very low on the actual nutrients scale. But my daughter loves these and I feel like they are actually worth the calories - she will only eat so much in a day and I want to make sure she gets the most nutritional punch per calorie possible! The other flavors are the purple carrot, green bean/spinach and greek yogurt/raspberry spinach." +186,1351123200,B0077HIJYS,A3HVA6BTVB1UYP,5,good for low carbers and diabetics,"compared to the usual white bread bun you might not choose this but if you are diabetic or a low carber it is a no brainer. these buns make it possible for us to have a real hamburger and not raise our blood sugar unduely. One thing though, it is better to refrigerate the buns and microwave a few seconds to warm it and not do the usual bbq or toast warming. I have found that microwaving makes reguar bread rubbery but not so the low carb buns (same for their hot dog buns) while the usual warming makes them dry. The ingredients are different and so the warming needed is different. Done this way they do not come out dry and cardboardy. and using more condiments helps also. So I give them a high rating even though the shipping makes them expensive and thus it is worth it for our health." +187,1351123200,B005QQ1MB4,A3BVT74XFWO6KD,5,Best Biscuit Flour you can get!,"I have use many ready made biscuit flours as well as many attempts to make my own, this is by far the best! Just wish I could get it at my local market!" +188,1351123200,B0051C1CQ8,ASLSYHR5D632W,4,Curiously delightful.,"I tried the plain type because I had never encountered a ""digestive"", the British comestible. This is an interesting variety that is positively habit-forming. Beware - you can consume a lot of calories without being aware of it." +189,1351123200,B002SIDKPE,A2XKTLI99QA90A,5,Very Good!,This decaf cappuccino tastes just like the caffeinated stuff. I live in a small town and was unable to find decaf cappuccino anywhere. This stuff is very good and I would highly recommend it. +190,1351123200,B006LEEWL2,A3FBXJ6D3EQSD5,5,only 5 lollipops remain,i took the lollipops to work and shared them w/the office about 3 weeks ago. only 5 are left. they are yummy and the perfect size sweet treat. +191,1351123200,B005HGAV8I,A2GPID97N39GPO,5,YUM!!!,If you like a little flavor to your coffee I would highly recommend this variety pack. I like a bit of a switch up and not the same standard coffee every day so that is why I ordered this pack. Coffee tastes great and got my order within two days. Once I run out..I'll be back to order again! +192,1351123200,B005HGAV8I,A3QI7PHBL9G2CK,5,Super Selection,"I was a little hesitant in ordering as there were several comments about the lack of selection, however, I was pleasantly surprised when I opened the box. There was definitely 25 different flavors and about 4 which there were 2 of. All in all a great way to sample different flavors without having to commit to an entire box of 16 which can be very costly especially if you end up not liking the flavor. I love being able to sample some that I might otherwise be hesitant to try." +193,1351123200,B002R8UANK,A09539661HB8JHRFVRDC,4,Fruitables Crunchy Dog Treats,"My lab goes wild for these and I am almost tempted to have a go at some myself, as they smell so great. So far I have resisted the temptation despite the fact that they are filled with healthy ingredients." +194,1351123200,B004NBDCD4,A2VLOJX99B7VLU,5,More Good Stuff,"Spitting seeds may not seem too etiquite but it sure is fun. All the available flavors are so intense it is hard to quit. It is however recommended to keep them to yourself and dispose of the spent ones properly, preferably in a disposable cup. Note too that there are some locations and occassions that it might not be acceptable to be spitting seeds. But in between those times give your mouth a treat." +195,1351123200,B00028HN5A,A3L1Z1IMR23PX5,4,Dangerous! Cat loved it!,"Nifty container (I love nifty things!), and my mustache kitty went ape when from the day I wrapped it, all the way until the unveiling come Christmas day.
The only reason I took one star off...the cat needs some ""down time"" before this becomes exciting again after a few days use.
About the fifth/sixth time I opened the container she would just sniff it, and look at me ""Like hey, it's your turn now bub.""
I believe that to be the inherent nature of Catnip however." +196,1351123200,B004NBDCD4,A1A8XCHIUN2688,3,Misleading label,"It's my fault for assuming that the ingredients would be sunflower seeds, sea salt and black pepper. This is not the case. It contains regular salt as well as sea salt, and a bunch of other ingredients. I do like the size of the seeds. They're nice and big. But there are also a lot of foreign debris like sticks and other matter. At least one in each bag. I will definitely NOT buy this product again." +197,1351123200,B002R8UANK,A3MHMWPZUAI565,2,Triggered strange vomit response to my dog,"I can't deny that these smell amazing- all the fruitables that I ordered smelled like human-counterpart treats...blueberries, yum.

I was excited to give my dog a ""real"" treat, and I have him one of this and one of another fruitables soft chew. A few hours later, we were shocked at the dog spitting up everything in this stomach- he threw up about 3 times, and then continued to spit up mucous and bile fluid. Gross, and really unfortunate :(

I contacted both fruitables and amazon, who both graciously accepted the open bags as returns, and fruitables checked the lot numbers of the bags I had. I guess my dog had a particular sensitivity to something in these, which stinks because I really wanted him to love these nice smelling treats.

Hopefully others have better luck with them!" +198,1351123200,B0076YVPLG,A1APK6FWZC13B,4,Perfect for a quick lunch!,"I was impressed with this meal, I couldn't imagine the quality Barilla is known for being seriously ready for consumption in sixty seconds. What I love most about it was the fact that it had real sauce that is comperable to what you would put on your homemade pasta. Most meals like this taste more like an upgraded cup of noodles, where this is a nice meal in a crunch. Now I will say you really need to read the instructions before cooking. The opening instructions can be assumed and cause the sauce to go flying when the food is done cooking. With that in mind, it's not ideal for kids to cook on their own. The film was rather tight and I can see a child or pre-teen getting burned if they are not paying attention while the open the contents. With that, please be careful. Outside of that, it was delicious for a microwave meal." +199,1351123200,B006N3IG4K,A21VWSCGW7UUAR,4,"Good, but not Wolfgang Puck good","Honestly, I have to admit that I expected a little better. That's not to say that this is bad coffee - in fact it's quite bold without being too acidic, and pretty satisfying overall. I think my main problem is that Wolfgang Puck's name is attached to it, so perhaps it set my expectations a little high. I have a Wolfgang Puck knife set that I adore, and is very high quality for what I paid for it. This coffee was on sale, so it was well worth it also, I just hoped for something that would knock my socks off - which it didn't. I also purchased the Breakfast blend, and Jamaica me crazy at the same time. The breakfast blend was the best, in my opinion, and the jamaican coffee smelled the best, but was the least successful." +200,1351123200,B007PA32KI,A2RSB6FVQ9K9OD,5,Bulk k-Cups,This is the best way to buy coffee for my office. Least expensive way to buy convenience with harder to find flavor and brand. I also buy this way for home. +201,1351123200,B001BOVE54,A33YYMSQPKBIB,5,Wonderful- She is a different cat!,"I ordered the Wellness Grain-Free Dry Cat food a few months ago. At first, I was less than thrilled, because for almost a month my cat's stools smelled more foul than I could stand. I was ready to finish the bag and then switch her back to her old food, despite the fact that her old food contained less healthy ingredients, but I am so happy I decided to wait it out because once her little system got used to the change (or maybe detoxed), she is a different cat!!!

I have had my cat for 9 years, and she has always been a bit grouchy. I chalked it up to her personality and never thought twice. However, since changing her food, her personality has greatly changed! She is so much happier and more content, much more loving. She is a much happier little feline!

So, I am now a happy customer. I would recommend this cat to anyone, it is so much healthier than most other cat foods out there. My cat loves the taste, and her behavior shows me she is feeling great too!" +202,1351123200,B007PA32KI,A9YEAAQVHFUTX,5,Blackcat,Great coffee! Love all Green Mountain coffee and all the wonderful flavors. Would and do recommend this coffee to all my friends. +203,1351123200,B0083I4SMM,A3EJDV2RTFROU4,4,Good Saffron,I have used this saffron in several recipes and found it to have a good flavor. The amount is small but a little goes a long way. +204,1351123200,B001ELJJZG,A24AIWQ5TEVQGU,5,This is a big container.,"October 25th, 2012

This is my 4th wine kit in 60 days and my second which I sourced from Amazon. As wine & beer making have several steps over time I will update this review as I proceed through all the steps. This is a very heavy container. Getting that bag empty will be the trickiest part of the wine kit I think. I was simply not strong enough to pick up the bag of 'must' from the bucket shipping container. What I did was to dump the contents of the shipping bucket into my plastic food grade fermentation vessel.

Because I couldn't lift the bag out of the primary I had to cut a hole in the bag as near to the bottom as possible and lift the bag out of the primary as the bag drained. This was still a tricky procedure as the 'must' initially just pooled on top of the 23 liter bag of must. I think next time I try one of these 55 lbs kits I am going to borrow my step-son who works unloading UPS trucks everyday and is strong as a horse to hold the bag of must clear of the 'primary' while I open the bag the proper way and let it drain into the primary.

I have at the time of this writing transferred the juice/must to my plastic primary fermentation vessel, added the bentonite, stirred, added the yeast, and stirred again. I don't take the specific gravity as I like my wines very dry and so I just let them ferment out completely. I do like that the kit includes corks (one less thing to purchase)." +205,1351123200,B008I1XPKA,A3BK8LC7IGAIIO,5,In love with Hazelnut~,"I won a pack of the Hazelnut K-cups from Brooklyn Bean Roasters. I was so excited to try it! I was very happy with it! The taste is very good, not too strong, but enough to taste wonderful. I would highly recommend the Hazelnut to any coffee lover. Brooklyn Bean Roasters is an amazing company as well and is really focused on their customers!" +206,1351123200,B005K4Q34S,A34VU0NSTNNTRQ,5,French Vanilla Cappuccino,Great price. Really love the the flavor. No need to add anything to this cappuccino to enhance the flavor. Really enjoyable anytime drink. This is a house hold favorite. +207,1351123200,B000EWMJ8U,A2JYHCN1498636,5,Beautiful,"I don't plan to grind these, have plenty other peppers for that. I got these to serve whole, especially for my brother who loves spicy Asian cuisine. And these actually came all the way from Thailand, which I thought makes them well worth the wait (took a couple of weeks with the shipping method I chose). These are gorgeous trimmings, and delicious, eye-watering goodness." +208,1351123200,B003AP2GKY,A9YEAAQVHFUTX,5,Blackcat,Great coffee! Love all Green Mountain coffee and all the wonderful flavors. Would and do recommend this coffee to all my friends. +209,1351123200,B003ZUKM64,A17UEI9FECJ336,5,Good substitute for home made stock,"I have tried several chicken soup seasoning bases, looking for one that would give me a rich chicken taste without overloading the recipe with salt. The Vogue product is the best of the ones I have tried. I do also keep a supply of the home made stock when I cook poultry, but I don't bother so much with that anymore because this product is such a good substitute. In addition to using it for the most obvious chicken-flavored dishes, I frequently add a teaspoon to various sauces and gravies -- just enough to add some depth to the mixture, but not enough to make it taste like chicken soup." +210,1351123200,B003AP2GKY,A2RSB6FVQ9K9OD,5,Bulk k-Cups,This is the best way to buy coffee for my office. Least expensive way to buy convenience with harder to find flavor and brand. I also buy this way for home. +211,1351123200,B000LQNK6E,A1CZ7AUH2WWB4Y,5,Best cup of noodles ever!,Tried many (from all over the world) different types of packaged quick-meal type noodles. These are by far the best I've had. +212,1351123200,B0052O8OOI,A19MKA9O504JJT,1,Doesn't taste good...,"I didn't like the flavor of this root beer snow cone syrup, it has a bitter flavor.

It is a great deal tho so it's too bad it doesn't taste good. :(" +213,1351123200,B0049KKR6Y,AH6PRLB7VBHV1,4,Stevia Sweetened Hard Candy,"I was thrilled to discover that some companies are trying hard to provide the general public with a healthy solution to their sweet Tooth. I am trying to avoid any food products that have Aspartame or any other sugar free sweetener with the exception of Stevia, which my doctor has recommended we use as the alternative to all the others. So my Hat's off to you for your diligence and care; Thank you.

I tried the hard candy, sour fruits, licorice, and lemon but was disappointed...I guess my sweet tooth craves something a bit sweeter! The sweets just weren't sweet enough for me! Everything arrived to my house in a short time of ordering; the packaging is good quality and well presented, I just didn't care for the candy. I felt there could have been more flavour.

Again, I commend you for providing this alternative to all of us who are trying to live a healthier life.

Eugenie" +214,1351123200,B0001B8WCG,A3FW29GQ2BNLHI,5,Delicious!,"Wonderful! Deep, rich, pure black raspberry syrup! Absolutely delicious on waffles, cheesecake, ice cream, yogurt, drinks, etc. Thrilled to see that there are at least some berry syrup makers who do not feel the need to ""sour"" the flavor of perfect berry products with citric acid!" +215,1351123200,B000SDKDM4,ACKC8VBHBFRIL,5,"Excellent coffee, excellent service","If you think that espresso means that your coffee beans are charred black and that the coffee should taste burned like Starbucks', then this coffee is not for you. Instead, if you are looking for a rich taste, aroma, and crema, I can recommend this coffee very highly. If brewed right, this coffee will have very rich undertones, without bitterness, and with a hint of chocolate. I have tried Illy as well, and while do I like the Illy, I prefer this Lavazza variety (the Illy is also more expensive). For those who haven't tried the Lavazza yet, I suspect that quite a few among you might like it, especially if Starbucks' taste is too harsh for you." +216,1351123200,B004N5ME0M,A1U3B1YJTKD50B,5,awesome,I WILL BUY IT IF U LOWER UR PRICE TO EXPENSIVE !!!!!! PLEASE LOWER ITS A GREAT PRODUCT BUT TO EXPENSIVE +217,1351123200,B000SDKDM4,A2LJZOZHTOKBOB,5,Delicious,"While there may be better coffee beans available, this is my first purchase and my first time grinding my own beans. I read several reviews before purchasing this brand, and am extremely pleased with the way the coffee tastes. Sooooo much better than Starbucks. I can't believe the difference! However, I should have purchased a smaller quantity since it is taking me quite a while to use up a 2 pound bag. I understand that coffee should be used up fairly soon after the bag has been opened." +218,1351123200,B001NI7OGG,A26HIQ5LWV4SBF,5,Amazing stuff!,"This sauces are absolutely great! First of all, unlike many others, they are not just plain hot, they are actually really, really tasty.

I'm an average heat lover. That means I don't count drops when adding Tabasco to my meal, but not eating whole habaneros instead of cucumbers either :)
So here's my humble opinion about this combo:

1) Jalapeno Death. Jalapenos, tomatillos and tequila. Very mild, crispy and refreshing. Amazing on tamales. Expect to finish this bottle fast.

2) Original Death - delicious, frutty and moderately spicy. If you felt like original Tabasco is not hot enough, this one will be just right. Good with pretty much everything. I did not try it on oysters yet, but expecting this to be superb combination.

3) After Death. That's where the fun begins! Nice punch of habanero and long peppery aftertaste. Great on red meat, absolutely gorgeous on lamb and pork. My favorite so far.

4) Sudden Death. Did you read the recommendation on the bottle about using a micro-drop? Oh, you didn't... Well, you probably should. This thing is HOT. But it feels interesting: not an instant kick, but rather fast growing powerful avalanche of heat with long earthy aftertaste. It will put tears on your eyes and smile on your face - that's for sure. And because there's no instant kick, it is really easy to overdose, so be careful.
This sauce also has Siberian ginseng in it (not sure if it affects taste, but just having it in sauce is cool indeed)

P.S. I'm looking forward to trying out Mega and Ultra Death

P.P.S. With this combo you also get two very nice and surprisingly well made skull keychains." +219,1351123200,B001L28RTM,A23WYVBCNE75X1,4,this product is good,"It tastes good. The container is too big to fit in my cupboard, but I refilled the current coffee creamer dispenser. It tastes good." +220,1351123200,B001I16ENM,A35YV570B5GIXI,5,Yummmmm,"Couldn't live without this product, I live in a country with no Starbucks so I make my own chai tea at home, much cheaper that way too!" +221,1351123200,B009WVB40S,A3ME78KVX31T21,5,Tasty!,"I purchased this to send to my son who's away at college. It was delivered right to his dorm room with very fast shipping. He loved it so much he called me to thank me, and sadly, he hardly ever calls me anymore! If you want your kids to call home, and have some good snack to get them through midterms then send them this." +222,1351123200,B008O3G2GG,A37UIFYX5G32W2,4,Not sure how to feel,"So, my dog likes it. I'll just get that out there right away.
But, it's awkward to carry and can be messy (which I didn't think it would be) but since you have to sometimes give it a little encouragement to get anything to come out, sometimes it just decides ""Oh you want ALL of it!"" and I have a sticky snouted puppy.
And, she has since lost interest in it and prefers treats she can smell better." +223,1351123200,B004UA53AI,A23WYVBCNE75X1,4,Pretty good,"It's flavorful with chunks of tomato. I used it the other night and along with some parmmesan cheese, didn't miss the vegetarian ground crumbles." +224,1351123200,B0081XIASW,A156021XP6CYX6,2,"Paw Flapper Fun, But Too Easy","I got my dog the Paw Flapper because he's a Basset Hound mix and loves to use his nose. He's also pretty smart, so keeping him occupied can be difficult. Unfortunately, this is a super simple puzzle. The first time he played with it, it took him about ten minutes to find all the treats. The next time, it took five minutes. There really isn't anything that challenging about it. Opening the flaps takes my dog a second, and all he has to do is keep pushing his nose into the holes to rotate the top and find all the treats. He had fun, but then it's a toy full of treats, so that's a given.

The puzzle does seem to be well made though, so it's not a bad product. It just isn't challenging enough. I'll be returning it and trying one of the other puzzles." +225,1351123200,B006Y00H08,AGGP41D58P0ZW,1,KNOCK OFF,"This is not the product that should come in this box. I have had this tea from a local store which was excellent, very flavorful pellets. This was a powdered product which was tasteless I can only assume it is another Chinese knock off. Don't bother spending money for it." +226,1351123200,B003GBCAV2,A360QC0UK1LO3,5,Great snack for no carb dieters,This is a great snack for the no carb dieter who miss crunchies like potato chips. Very satisfying and tastey! +227,1351123200,B001D0IZBM,AMUD7YJD0Y8D3,5,My new favourite for a nice bold morning brew,"When using a drip coffee maker, I often slipped in an extra spoonful of grounds to make my morning coffee extra strong so that the milk would not dilute it too much. After recently having bought a Keurig, I was a bit disappointed at the somewhat watered-down light-bodied taste of most of the K-Cups which came as a sample with it.

So my first inclination was to browse the Amazon reviews of several varieties of K-Cup coffee and take advantage of what others who like a nice strong bold cup of coffee had learnt by trial and error - and that was a good move! I took you all at your word, ordered a 50-pack of this coffee on Monday, had my first cup of it this morning, and decided it was worth submitting my first ever review of any Amazon product ever, both to give it a 5-star rating myself and to thank those of you who take the time & trouble to give honest reviews for the benefit of people like me.

So for the record, on a price and quality scale this is my new favourite K-Cup coffee. Until now, my favourite on a pure quality scale was Starbucks Caffè Verona, Dark Roast, 27-Count K-Cups for Keurig Brewers (excellent but very pricey!) and for a bold-yet-affordable cup was Green Mountain Coffee Double Black Diamond, K-Cup Portion Pack for Keurig Brewers 24-Count (also excellent, and less pricey, but IMO not quite as nice in flavour as Emeril's ""Big Easy Bold"").

For anyone looking for a nice strong full-bodied and flavourful K-Cup coffee which won't break the bank, do try this one. If you're like me you won't be disappointed." +228,1351123200,B003OPCL5U,A323AEDVZ84ZFT,4,"Not a pumpkin-y as I would have hoped, but a great flavour","I bought this coffee seeking fall flavors, but unfortunately, it just seemed there wasn't enough in this coffee! BUT the price for the amount of coffee you get is unbeatable and the flavor it still wonderful, just not as pumpkin-y as I would have hoped. Plus, it's organic and all that good stuff." +229,1351123200,B001D0IZBM,A2BAYRWJ9I0LLB,5,Emerils Big Easy,"Best coffee available, I drink it on the middle setting of the five our maker has and one cups is enough." +230,1351123200,B003D4IYSU,AWZZUM4YPP3H9,5,I couldn't love the double bergamot more,I'm absolutely addicted to this tea. it's the best tea I've ever had. when Starbucks changed their black iced tea I had to find a replacement. this stuff is better than anything ever. I'm very passionate about tea. I've never had it hot but I'm sure it's delicious that way as well. +231,1351123200,B00469R3WE,A1OUCH9GD6J0D5,3,Great Cereal Ridiculous Price,"So I've been looking for this cereal literally every time I go to the store ever since I had it at boot camp 5 months ago. I went to about 4 to 5 different stores all with no success, also none of the store associates from any of the stores knew what I was talking about. Least to say, I was extremely happy to see that I could order my dream cereal on here. The product description does say that its 50 oz. however, for some reason I thought I would receive a much bigger bag for the price of $17.47. The cereal, like I remember it, is very good and my boyfriend agrees that it is the best cereal he has ever had, but sadly after 5 months of searching I wont be ordering this cereal again. The price is way too steep and its simply not worth the price. I will wait for the price to fall before ordering." +232,1351123200,B008JA7CRW,A1V1EP514B5H7Y,5,Refreshing and healthy drink,"I was delighted to receive this new V8 drink as I've been a fan of V8 for a long time as it not only is healthy, but it tastes really good. I don't know if it gives more energy because how does one measure that? But, blueberries and pomegranate have been proven to be very healthy fruits and the low calorie count is an added plus. I will be going to my local supermarket to get more of this new drink instead of my usual juice." +233,1351123200,B006V5X8NO,AR6CLLQC3ZO8N,4,Good quality grinder,"I had become almost addicted to the garlic and sea salt grinder that the Dollar Tree used to sell. Of course, (as is the case with almost everything they sell that I really like) they quit carrying it, and that led me on a search for a replacement product. The Olde Thompson is very good, and I would purchase it again; however, I wish it had more garlic and less salt in the mixture. It isn't possible to add dried garlic flakes to the grinder because the top is not removable. (At least I couldn't figure out how to get it off.) The vendor's service was outstanding." +234,1351123200,B008JA7CRW,A4BNJSZVARL5W,5,Yum!,"I loved the V8 Pomegranate Blueberry energy drink! It was very good and has some of the fruits and veggies that we try to pack in all day. This is also an easy way to get the nutrition that most people are lacking. When you have a busy day, it's hard to get everything in and with the V8 Pomegranate Blueberry energy drink, it's so easy, you don't even have to think about it!" +235,1351123200,B0044IE94M,A187XBYBR3BSET,5,5 Hour Energy works very well...,Great price if you buy in bulk. Product works very well. No side effects. I have not tried a flavor that I didn't like. +236,1351123200,B008JA7CRW,A19OR7BSMSPDFB,4,Pretty Good,V8 Pomegranate and Blueberry Fusion Drink

I liked it. Smaller can so its not high calorie. It says energy buy its no added caffeine or sugar just natural fruit juice for a little boost. I love pomegranate and the blueberry adds just the right amount of sweetness. Not too tart not too sweet - well balanced. Nice change up and if you like Pom/blueberry :). I bought a 64 ounce afterward because I did enjoy it. +237,1351123200,B006Q7YFLQ,A7EU2BWLLCJY2,5,My dogs love them!,"I've tried several different kinds of freeze-dried chicken treats and, for the most part, they are all so dehydrated that they literally turn into dust in the bag. You get a couple of solid pieces out of a bag, then the rest you have to sprinkle on top of dog food because it's just chicken powder. These don't do that! They have some additional ingredients in them besides chicken (veggies and fruit mostly) so they stay together very nicely. They are definitely designed for larger dogs - each treat is about the size of a fifty-cent piece (when was the last time you saw one of those?) and about a quarter to a half an inch thick. But they break easily into smaller pieces for little dogs. I have teeny, tiny chihuahuas so I have to break these treats into M&M-sized pieces for them, but they can't get enough! And the bag goes a long ways if you are breaking them down into smaller treats. These are now permanently on my shopping list for my babies." +238,1351123200,B0044MTGHI,A3MV6SD9TXO1X7,5,Love love love.,Simple: VITACOST HAS A CUSTOMER FOR LIFE!!! It's much better than I imagined for so low a price- better than the expensive brands. I use it for everything. +239,1351123200,B003V8Y892,A33HARAFO31LTO,5,"Good product, good price","With all the checking I've done, this seems to be the best value around for Truvia packets. I use them for cooking and baking so they go fast in my home. Being able to buy them in quantity while saving some money is really appreciated." +240,1351123200,B007XARNIM,A14FR3U0FQPAEN,3,Hot!,"It tastes hotter than other gari products I've tried, but it's not a problem for me since I like snacking on hot food. However, the plastic bottle is really fragile and easily breaks, so it needs careful handling." +241,1351123200,B003F84REY,A27CKOACMX8O5F,5,Great Product,So glad to find this since the grocery stores no longer carry this product. it is a spice that not many people use anymore because they no longer cook from scratch +242,1351123200,B000FBQ4YU,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +243,1351123200,B007TGDXMU,A1JWY18IISLJZA,5,THE Alternative To High Priced K-Cups You've Been LOOKING For!,"You love K-Cups, but get annoyed with paying $1.50+ apiece? This product is for you. It's not a K-Cup. So my guess is that they don't pay royalties to Keurig. And they pass the savings along to you.

So if it's not a K-cup, what is it? Too hard to explain. It's like a cross between a tea-bag and a K-Cup.

Here's all that matters: it fits in your Keurig machine--no problem. They package it in a way that it stays fresh. And it brews as good of a cup of coffee as any K-Cup.

But it's WAY cheaper.

Try it. You'll love it!" +244,1351123200,B007TGDXMU,ATE959E0GRIG9,5,My Favorite Coffee!,"I liked the idea of less plastic with my K-Cup, and got the added bonus of a delicious cup of coffee!
I won't buy anything else now...I'm hooked!" +245,1351123200,B004O736HY,AWFA8N9IXELVH,1,Deceptive description,On Oct 9 I ordered from a different vendor the same product 1.2 oz- 6 pack. That order was 6 packs of 1.2 oz ea. When I saw this item I decided to order it. it read the same as my first order 1.2 oz- 6 pack & the price was approximately the same. I received the order today & what is it but 1 large bag of small packs totaling 1.2 oz. I call this deceptive not curious as another reviewer put it. I think the descriptions should be more specfic. The 1 star rating I gave is because of the description not the product itself. The chips are actually very good. +246,1351123200,B005FT1JTW,AD30TCZOL5F1N,5,"Love it, or not so much","As my title says, you either will love it or not. I love it, some friends who tried it and didnt like it were disapointed the flavor didnt quite match the aroma. This is one you will have to try for yourselves." +247,1351123200,B001PS5TMU,A398R5RS3RE8EO,3,"It was okay, but didn't really help","I bought this dog food after the ""Tainted Dog Food"" incident this year. I did some research to look for an alternative for my sensitive and allergic labracollie, and liked that Addiction used free-range animals and seemed to use natural ingredients. My dog loved the taste and dug right into it.

I had her on this diet for almost two weeks. I bought two bags at a local mom and pop pet store, but it did not particularly improve her stool--which is a big factor for me and her digestive health. Her stool was still softer than normal. Another issue I found was that the Venison meal was very high in protein. My dog is nine years-old and not as active as before, so I wasn't very fond of the protein content. This dog food may be better-suited for active or younger dogs.

At my local pet store, they also have Lamb, La Porchetta, Salmon Bleu, and a couple other puppy variations. I bought Lamb and Porchetta as well. Among the three my dog ate, she seemed to like the Venison the best. I knew this because she always hesitated with the Lamb and Porchetta. I have not tried the Kangaroo (which is available on Amazon), but I may buy a bag just so I can know how it is for future reference, and I can offer a review.

As for the price, yes, it's a little on the higher side. At $17.00 for a four-pound bag, I would try it for a couple weeks and make sure your dog does well (enough) on it before investing in a regular diet regimen of this dog food. For me, though, the results I received did not justify me having to spend the extra money for this dog food, even though my dog actually liked eating it.

Pros:
1. Apparently it tastes very good.
2. Good ingredients.
3. High protein content (good).

Cons:
1. Pricey.
2. High protein content (bad)." +248,1351123200,B001CDOBCM,AM0G358CX6F3B,5,A new perspective on a Manhattan,"If you love a good Manhattan and especially enjoy the cherry at the end, these cherries are for you.

Very dense, sweet and in a syrup, two cherries and a bit of syrup add a better sweet component than sweet vermouth. These things were born to be in a Manhattan! Also recommend skipping the vermouth and adding the Italian liquor Amaro. That and these cherries will change your Manhattan experience forever" +249,1351123200,B000FPJ78Q,A3F14GVSJMJ0WH,2,dingos,The red part of the dingos was missing from 3 of the balls in one bag and two of them in the other. The others have not been opened yet and I found this very upsetting since this is the part the the puppies go for first. I don't mind paying that price if it is as shown. The bag show no white only balls.
Theresa Miller +250,1351123200,B000I1RGQC,A3UC586EDL2M96,5,back to nature oatmeal cookies,Back to nature cookies are great cookies to buy ...they taste great and are more healthier for you ...cant beat that ..they are awesome ..we love all of the varieties ...these are all the cookies i buy ..all the kids that come to my house they will eat the entire box in one sitting ..and i love the fact they are getting better ingredients without all the bad stuff +251,1351123200,B004UIO5MM,A3C8DQDIG921IX,5,Great Coffee,"I have a coffee maker that grinds my coffee beans. It's hard to find whole bean decafinated coffee. When I find it in the brand that I like, I am excited. Seattle's Best is my favorite." +252,1351123200,B0001LQZOI,A2RKEA0GBBC0GU,5,Excellent Tea,"This is the best tea i have had yet. It reminds me of a fine wine,very smooth and full bodied.I use milk and honey with it and i a cant get over how good the tea tastes.I finally found a great tea thanks to amazon and the reviews from consumers on products like these." +253,1351123200,B005K4Q4LK,A28LXT9XBGRA18,1,Too sweet,It's silly to call this a Cappuccino. There is no coffee flavor whatsoever. I have even tried making this 1/2 and 1/2 with strong coffee. Still can't tolerate it. +254,1351123200,B0007A0AQM,A15X1BO4CLBN3C,5,cant get enough of it!!!,"Our lil shih tzu puppy cannot get enough of it. Everytime she sees the bag, she starts jumping up and down!!! Our older shih tzu doesnt like it at all but its perfect for puppies! Will definitely reorder!" +255,1351123200,B004SNMAOO,A3HVA6BTVB1UYP,5,love this bar,Sick of melting chocolate or yogurt icing in your bars. Well here is a good one without that. I love this bar. Just nuts and seeds. Simple and healthy. I am diabetic and a low carber and this bar is one of my favorites. Hard to find in stores so I buy on web. Was well packaged and received quickly. +256,1351123200,B002ZH4EXU,A3MNSYS64E5FAE,3,cats dont like,the service was great but the cats didnot like it.I guess i wont order again. the price is right and it came quick. +257,1351123200,B005K4Q4LK,A34VU0NSTNNTRQ,5,French Vanilla Cappuccino,Great price. Really love the the flavor. No need to add anything to this cappuccino to enhance the flavor. Really enjoyable anytime drink. This is a house hold favorite. +258,1351123200,B000FYYOZI,A13Q9TG853K1J6,5,Yum,"Good, light taste. Not too strong of a flavoring, and very little, if any, aftertaste. They go down easy,...MMMmm. Definitely happy with the purchase." +259,1351123200,B005K4Q4LK,AQ9336463S5W8,2,not what we thought,Thought it was coffee k cups we were purchasing but it is powdered drink mix. Read carefully before buying this brand. +260,1351123200,B004O736HY,AG4YGLLIE8BWP,5,Makes me drool just thinking of them,"The Brit's have out done us. The flavor is supreme,they satisfy my hunger for steak and onions...
Get them while you can... Their other flavors are great tooo" +261,1351123200,B000N30EC8,A3TRJP82AD6LXF,5,Quick and easy for on the go!,I got this for those mornings I am in a rush or running late. Saves time and is very healthy. They taste a lot better than I expected. Also would be a great afternoon snack for children. They would love the taste and would not realize they are getting something that is also healthy for them. +262,1351123200,B002R8SLUY,A09539661HB8JHRFVRDC,4,Fruitables Crunchy Dog Treats,"My lab goes wild for these and I am almost tempted to have a go at some myself, as they smell so great. So far I have resisted the temptation despite the fact that they are filled with healthy ingredients." +263,1351123200,B008JKTH2A,A1XV4W7JWX341C,5,"Loved these gluten free healthy bars, saved $$ ordering on Amazon",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the coconut too.. +264,1351123200,B007TGDXMU,A2WMWK5GJCY8SH,5,The best by far!,San Francisco Bay Coffee Company makes the best coffee for the Kuerig by far. It's also half the price. It's always nice to have someone break a monopoly. +265,1351123200,B004779XSM,A1Y9VUR9W4V0PX,5,Always delicious!,Green Mountain has never let me down as far as taste. Always delicious! This flavor is a particular favorite. A must have staple in our office. +266,1351123200,B004779XSM,A2O3TJYRBCIFWO,5,So delicious!!,I love Green Mountain French Vanilla Cream coffee! The flavor is amazing and all I add in French Vanilla Creamer :) +267,1351123200,B002ACU9XY,A32C7CN1ZWSDEK,5,Favorite Coffee Pods!,"I had been buying Senseo coffee pods to use in my Hamilton Beach pod brewer. The Senseo pods became impossible to find locally, so I looked online. I drink decaf coffee, and it's often difficult to find decaf in different variaties. When I found these pods from Baronet, I decided to take a chance on them. They are so much better than the ones from Senseo! The flavor is rich and the price is quite a bit less than the old pods I was buying. The Baronet pods are also stronger in flavor, which is great if you want to make a larger mug of coffee. They come in flavors, too! Highly recommend!!" +268,1351123200,B003POD8O8,A3NA3L4T8Z3TJP,4,Really good automatic candy dispenser,"This product works great for regular M&M's, skittles, runts and other such small candies. The only reason I didn't give it 5 stars was that it doesn't do so well with peanut or almond M&M's. They seem to get crushed and jam inside the auger. For smaller candies, it's great! Perfect for the office!" +269,1351123200,B004XE0FKY,A134OXKUUA2N57,5,Fantastic -- But ...,"This is fantastic stuff. It's my favorite of all the flavors Fabrique Délices makes. But honestly, I walk three blocks and buy it for just under $6 at Gourmet & More on Gough Street in San Francisco. I can't understand the price or paying the shipping. I'd buy a terrine or use a loaf pan and make it myself rather than pay these kinds of prices. There's a whole classic text on making terrines and pates at Terrines, Pates & Galantines (The Good Cook Techniques & Recipes Series) and you can watch Julia Child do it on The French Chef. It's as easy as making meatloaf.

Beyond that I'd go to the Fabrique Délices web site and see if you can buy it locally in your area.

Enjoy." +270,1351123200,B000FBM3WC,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +271,1351123200,B0098WV8F2,AZHS1BFOK4OTV,4,YUMMMM!,"Am a peanut butter junkie, but hate the calories. This item is great....just add water for reconstitute the powder into yummy peanut butter...without the guilt." +272,1351123200,B005OVPKCI,A1CHOKV10NEI8X,3,"Bland, but OK","Quaker Oatmeal squares are a little on the bland side, but OK. Most Quaker dry cereals are a bit on the bland side for my taste, and have a dull texture. In this one, the cinnamon gives it a little more flavor than others, but it still has a texture that I don't find appealing.

E.M. Van Court" +273,1351123200,B0043P1NUO,A130VGG4P4PW5J,5,These are excellent and excellent $$$$ here at Amazon,This Old Dawg [Chihuahua] has been eating these for years [Bacon Strips as shown] and even with my teeth as old as they are - [16 yrs] I have no problem chewing these - The caramel squares are very good also - BUT not for me at my age.

It is nice to see these under the *Amazon Subscribe and Save* - ordering now - Had gotten the 50oz at Big Box a while back but they run out so often - +274,1351123200,B008JKTH2A,A34XBAIFT02B60,1,Should advertise coconut as an ingredient more prominently,"First, these should be called Mac - Coconut bars, as Coconut is the #2 ingredient and Mango is #3. Second, lots of people don't like coconut. I happen to be allergic to it. Word to Amazon that if you want happy customers to make things like this more prominent. Thanks." +275,1351123200,B001KW900I,A3EL8POFM0SH1O,5,My precious child (yorkie) REFUSED to eat for 2 months!!!!!,"I have literally been frantic over ""Celli"" (nickname for Andrea Bocelli) not eating anything except treats..no nutritive value..for 2 months!!! I cooked grilled chicken breasts, beef cooked every way, even lean pork chops...no deal...It is very grueling to watch your only baby starving!!! I tried 32 flavors of dog food. He has always preferred dry food over canned food. So I was perusing the dog food offered by my ""hero sight"" Amazon,and something about Halo Spots Stew caught my attention. For days I went back and forth between flavors that my pooch would find appealing. Finally, I settled on the adult lamb recipe. After ordering I thought ""Oh no, the kibble is going to be too large for his small mouth""( Am I neurotic, doting mother or what?) Anyone who thinks I am totally disgusting doesn't know what this situation is like!! I was prepared to chop the dog food in my food processor...BUT, the food arrived quickly, as usual for Amazon, and what a surprise!!! Upon opening the bag of food, to my pleasant surprise, the smell of the food was so good..so fresh.. and the kibble is so small!! Now for the happy ending...Celli ate every bit in his bowl as if to say ""This is what I've been waiting for""...Mommy will rest tonight...Thanks Halo and Amazon...My love and gratitude to you!!!" +276,1351123200,B0018CIUBA,AUI3US13YHN93,3,Dog Loves it . . . While it Lasts,"I bought this flavor edible Nylabone for my ""industrial strength"" chewing dog who's just over 1 year old. Although he enjoys all of the Nylabone flavors, he goes through them in record time because he's a chronic chewer. Considering how much it costs,I decided it wasn't worth it. Instead, I now buy Purina Chewnola bones - they entertain my little guy for hours and he keeps going back to it until it's gone. I recommend this to anyone with a dog who's into chewing. I also recommend you buy them on Amazon since you can pay as much as 50% less than you pay at a store. (The 3 stars is because the cost doesn't match the lasting power.)" +277,1351123200,B002R8SLUY,A3MHMWPZUAI565,2,Triggered strange vomit response to my dog,"I can't deny that these smell amazing- all the fruitables that I ordered smelled like human-counterpart treats...blueberries, yum.

I was excited to give my dog a ""real"" treat, and I have him one of this and one of another fruitables soft chew. A few hours later, we were shocked at the dog spitting up everything in this stomach- he threw up about 3 times, and then continued to spit up mucous and bile fluid. Gross, and really unfortunate :(

I contacted both fruitables and amazon, who both graciously accepted the open bags as returns, and fruitables checked the lot numbers of the bags I had. I guess my dog had a particular sensitivity to something in these, which stinks because I really wanted him to love these nice smelling treats.

Hopefully others have better luck with them!" +278,1351123200,B007TGDXMU,ADGSALGMJYHOV,5,"Great coffee, not bitter.","I'm not a big fan of the green mountain coffees, because they all seem to be bitter. This is a nice brew that is strong enough for me without being bitter. Their version of the K cup works great in my Keurig machine, 70+ cups without a hitch. They come nicely sealed in 10 separate 8 count packages. I just opened my last package and it tastes as good as the first." +279,1351123200,B003SLYTM8,A3PCBCOQMQEK85,5,Dogs Love Them!,My Maltese and Cavalier King Charles love these treats! I feel good about feeding them a healthier treat.
Not made in China! +280,1351123200,B00609PJEC,A7UQE24D5SB3R,5,Good product,This is a good product but our dogs did not seem to enjoy this as much as Holistic Select or Merrick. +281,1351123200,B00008Q3B7,A7UQE24D5SB3R,5,Paws up!,We try different treats for our dogs and they seem to like the Holistic Select biscuits very much. This has good quality ingredients just like their kibbles which our dogs like as well. +282,1351123200,B007JT7ARQ,A17K6WB5PGT3UV,5,"Great Shampoo, Use it all the time now",This is one of those products I would have never given a try except it was sent to me in the Vine Program.
Now every one in my family uses it.

I do not know how it works but it works good. Scalp never itches and hair looks great.
Has a nice scent to it as well. +283,1351123200,B0000ESTGX,A214U5SCYVJ7G4,4,Smooth tasting mousse,This was very good and it was smoothe and good to the taste It was easy to mix and it only took about six minutes. +284,1351123200,B005CT8R90,A19SLJ981ULZ03,5,Excellent but Price?,"I first heard about this on America's Test Kitchen where it won a blind taste test against a premium Italian brand and so we tried it, and verified that it was excellent and remains so to this day. But the Amazon price is beyond comprehension, $18.88 when compared to in-store price of $7.49 and on top of that, and for reasons that are totally uncler, the store is marking it down by an additional $3.50 so that the price came out to be $3.99. And to anticipate a quesiton, I checked the ""expiration"" date and it is off until late 2013. Even if there was no discout, the $7.49 regular price is a bargain, at least compared to Amazon. And this is good olive oil, the olives are grown and harvested in California with processing on site." +285,1351123200,B008MNDQ4O,AAUVIV5KLSC8A,5,sesamiOil,"This is a good grocery for us.

If you cook something,you can use it.

It is smells so good.

You should buy it." +286,1351123200,B0002YGSJQ,AAUVIV5KLSC8A,5,spicy,"It is a too spicy grocery in japan.

If you cook for udon or something, you can use one.

You should buy one." +287,1351123200,B002QWP89S,A11VCDXC7TGFTG,5,A great deal on Greenies,Paid only $22 with free shipping for 96 teenies compared to about $35 at the pet store. How can you go wrong with a deal like that? The dog begs for his daily Greenie. Got to have them. +288,1351123200,B006IMC3LS,A332LFCZ6ZPJPW,4,Great Monster product,Kudos to Monster for making this coffee flavored energy drink (with approximately the caffeine content of one-half a cup of coffee!) It's my favorite drink on the golf course.... BUT brickbats to them for the total lack of retail establishments carrying it in stock. Thank you to Amazon for offering it at an attractive price.... you're the best! +289,1351123200,B0048GRNZM,AXG287OY16WWL,1,Cute,"For some reason I thought that you got three ""pops"" but you only get one. For the price I paid for the Puff Pop and shipping it was just a little too much. Everyone laughed at it and thought it was cool for a few days and then it was set aside and then misplaced. Too pricey but cute item!" +290,1351123200,B008JKTTUA,A1XV4W7JWX341C,5,"Loved these gluten free healthy bars, saved $$ ordering on Amazon",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the coconut too.. +291,1351123200,B002HQNCBO,A1UW65ZMZ3UWD3,5,Baconnaise,If you are a fan of bacon you're going to like this stuff. J & D makes good products. I will buy again! Makes a killer addition to a BLT. +292,1351123200,B002JA06Z8,A3ESIUM1JTR7KK,5,These fresh berries are truly MIRACULOUS!!!,"I have ordered from Ethans on three separate occasions and I couldn't be happier. The berries have always arrived fresh and exactly on the day I chose. The ""sweet"" effect usually last a good 40 minutes and it's a blast. IT TRULY WORKS! All of my family and friends have been absolutely amazed by it. Don't hesitate to try these, you will not regret it!" +293,1351123200,B001D09KAM,A1XV4W7JWX341C,5,"Loved these gluten free healthy bars, saved $$ ordering on Amazon",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the coconut too.. +294,1351123200,B001D09KAM,A34XBAIFT02B60,1,Should advertise coconut as an ingredient more prominently,"First, these should be called Mac - Coconut bars, as Coconut is the #2 ingredient and Mango is #3. Second, lots of people don't like coconut. I happen to be allergic to it. Word to Amazon that if you want happy customers to make things like this more prominent. Thanks." +295,1351123200,B000LKTTTW,A14MQ40CCU8B13,5,Best tomato soup,"I have a hard time finding packaged food of any type, without dairy in it; even potato chips these days have it. The Imagine Organic is just tomato soup, no other BS in it. It is the best tasting too. At one time this soup could be purchased at TJ's, but since they have their own brand, it has dairy & I can't consume it. There are health food stores with it, but I wanted to give Amazon a try. It was delivered as promised & in good condition." +296,1351123200,B008JKTTUA,A34XBAIFT02B60,1,Should advertise coconut as an ingredient more prominently,"First, these should be called Mac - Coconut bars, as Coconut is the #2 ingredient and Mango is #3. Second, lots of people don't like coconut. I happen to be allergic to it. Word to Amazon that if you want happy customers to make things like this more prominent. Thanks." +297,1351123200,B003VXHGPK,A21VWSCGW7UUAR,4,"Good, but not Wolfgang Puck good","Honestly, I have to admit that I expected a little better. That's not to say that this is bad coffee - in fact it's quite bold without being too acidic, and pretty satisfying overall. I think my main problem is that Wolfgang Puck's name is attached to it, so perhaps it set my expectations a little high. I have a Wolfgang Puck knife set that I adore, and is very high quality for what I paid for it. This coffee was on sale, so it was well worth it also, I just hoped for something that would knock my socks off - which it didn't. I also purchased the Breakfast blend, and Jamaica me crazy at the same time. The breakfast blend was the best, in my opinion, and the jamaican coffee smelled the best, but was the least successful." +298,1351123200,B003Z8NEL6,A23WYVBCNE75X1,4,Decaf coffee,"I was curious about this coffee sold in Canada. It's smooth. I can drink it in the afternoon and all night.

Still, I don't see what all the fuss is about." +299,1351123200,B005C3IVN8,A3HECKQ9P79EY9,5,Andersons grade B Pure Maple Syrup,"Being a hard core ""all things from Vermont are the best"" kind of guy,I was a bit apprehensive about buying maple syrup from Wisconsin.But the low price and a visit to their fantastic user friendly website sold me and boy was I glad.I purchased Andersons Grade B,(my favorite grade),through Amazon annd found it to be by far the best tasting grade B I have ever tasted.Uniqley hardy yet not too molasses like,this syrup hits all the right notes.I will continue to buy this syrup to satisy my grade B obession and highly reccomend it to all." +300,1351123200,B000JSLYSU,A194RHTL3MSZ3O,3,Too sweet,"Assuming you get these from a good seller(which most people on here didn't seem to get, so be careful about where you get them!), these are far too sweet! They are a decent chocolate, similar to Cadbury milk chocolate bars you can get in the US, but they have an interesting flaky texture. I think they are a bit sweeter than regular Cadbury milk chocolate bars(but those are already pretty sweet too, so am not sure), and even though I like the texture, it's not worth it to pay so much for them. I suggest if you're craving Cadbury chocolate just stick with the kinds you can get in the US, it saves you money and hassle." +301,1351123200,B007FK3HHG,A38XTOID4VG01S,3,Alleged benefits,"I was somewhat surprised to discover that--among aloe's many reputed benefits were digestive, immune, and skin health advantages. Of course, these claims could be simple marketing ploys, but this Aloe Gloe Natural Aloe Water is certainly worth a try. It did strike me as somewhat curious that the water contains both ""certified organic cane sugar"" AND ""certified organic stevia."" I'm left to wonder why water requires any sweetening at all, let alone the addition of two separate sweeteners. At any rate, I drank just one bottle (approximately 35 calories; 10 grams of carbohydrates), and I suspect that's not nearly enough to reap the benefits of this product. I'm a bit skeptical, but I'd be curious to find out whether anyone who drinks this regularly notices any actual benefits." +302,1351123200,B007FK3HHG,A3CNJR9MD5BFKL,4,"A sweet, refreshing drink!","I've never been much of a soda drinker, so I'm always on the lookout for alternative beverages like juice and tea. Lately, I've been swept up in the craze of coconut water. When I saw this bottle of 'aloe water' I immediately wondered what the new flavor was.

When I opened the bottle, I was reminded of the smell of apple juice. Aloe Gloe has a very sweet, crisp flavor. Considering there is a both cane sugar AND Stevia sweetening up this drink, I guess that isn't a surprise. It's very pleasant and enjoyable, and would be extremely refreshing chilled and served on a hot summer's day.

One odd note, though: if you drink directly from the bottle, there's a distinctive plastic note to the liquid. That was rather disconcerting. I think that if you drink it from a glass this would probably be alleviated." +303,1351123200,B008ADQOJA,A1YYFX661KECLP,5,Incredible matcha!,This matcha is incredible - I got hooked on plain matcha - so having someone kick it up a notch and add this incredible flavour is amazing. I'm a big Boston Cream donut fan and this has the same taste too it. Highly recommend it! +304,1351123200,B0000TU6P0,A2T8PG6HNH93WH,4,My former #1 butter...........,"....to be replaced by Plugra.

I became a 'butterholic' after tasting free sample of Lurpak at room temp spread on crakers at Wild Oats years ago.

I had thought that butter was butter, and this premium stuff was just marketing gimmick, NOT!

Ever since lurpak became my regular butter, I started 'testing' other premium butters, so far none ever surpassed lurpak till I tried Plugra at Whole Foods.

Lurpak has this smooth, but tangy taste I crave for. It's an excellent butter to use on fancy Eurostyle bread with organic milk on mornings. But it's not a 'cooking' butter, yes one can use lurpak for cooking, but it's really a waste of flavor and such premium price to boot.

Eventually I found another premium butter that replaced lurpak, Plugra, made in USA, and cheaper than lurpak, and even more complex and nuanced flavor than lurpak.

Even Cook's illustrated declared Plugra a superior butter than lurpak, its former favorite just like it used to be mine." +305,1351123200,B007FK3HHG,A3RYSRBRTZB0JD,5,Wow! Clean and fresh tasting,"I was curious as to how this would taste - and I have to say they did a great job. It taste clean and is refreshing, to top it off its also very good for me to drink. I love natural products and this one fits into my narrow box of acceptability and it's taste was a pleasant surprise.
Jesus' Blessings and Peace" +306,1351123200,B007FK3HHG,ALI483EPAZ6YH,4,Almost Perfect!,"I wanted this to be perfect...as a result of years searching for an Organic Aloe Drink that was not too thick, gloppy, and more like a medicine than a satisfying, good-for-you refresher with all the benefits to digestion and the immune system. Aloe Gloe - almost made it - a silky smooth consistency of a 35 calorie serving per container, made in California USA (Yay!), delicious alone or with food, easily digestible and tastes like the good-stuff-Aloe. But why is organic cane juice (pure sugar), and Stevia (a natural sugar sweetener) added as well to equal 4 grams of sugar? For purists admittedly, the latter can make digestion more difficult and possibly compromise the immune system as well. The taste therefore in my opinion has an over-the-top sweetness note. But if you tend to drink sweet stuff, and/or like it that way, you will probably love the product, and be far better off drinking something actually good-for-you than some carbonated, diluted, and/or chemical concoction of who-knows-what. The product is Gluten Free, has no preservatives, is certified organic Aloe along with organic water as the primary ingredients. And...to underscore, it is made in the good ole USA! Thanks!" +307,1351123200,B000VQD4Z6,A38QNJELGLTMTH,1,warning! cancer...,"I love this stuff, but sadly just received a phone call from my mother who was watching Taiwanese news -- they recently were warning consumers in Asia NOT to buy Shin Ramyun (this brand specifically!) because of the increased risks of cancer...

[...]

See this older study. But it seems to have recently resurfaced and isn't in the mainstream US media..." +308,1351123200,B005PN6A4W,AAIK74LSATKRW,4,"Very tasty, not too sweet","These are the lowest calorie bar with the highest fiber and protein ever. Plus they are so good that when Harps stopped caring them they sold out. Very tasty, not too sweet. Great for healthy snacking." +309,1351123200,B000F9Z29K,A3ULGEA1WIV53O,3,Good salty taste,"These have always been my favorite saltines. As the name implies, they have a good, SALTY taste. The amount of salt seems to have been gradually reduced from the levels it used to have many years ago. I would prefer a bit more salt myself - but cannot find a better alternative." +310,1351123200,B00823T1K2,A1X2LENOF84LCQ,4,Good product,"I like that this is a better product for my pets but really for the price of it I couldn't afford to buy this all the time. My cat isn't very picky usually and she ate this, we usually buy her the friskies prime filets, the vet said it is better to not change their diet and buy different types of food and flavors all the time so we normally stick with the chicken. I am glad this is a chicken formula since that is what she is used to. If it weren't so expensive I would buy it all the time but I do have to budget. I take good care of my animals but I have to watch the cost so that the humans can eat and pay bills. I am trying to get a baby kitten to start on solid foods and I am trying with this since it is quality and it is easier for him to try and eat than the filets.
It is a good quality cat food but it loses one star for being more than I can afford to buy on a constant basis and the cans are very small so it would take more cans to feed a cat." +311,1351123200,B004MXSHA6,AG4YGLLIE8BWP,5,Makes me drool just thinking of them,"The Brit's have out done us. The flavor is supreme,they satisfy my hunger for steak and onions...
Get them while you can... Their other flavors are great tooo" +312,1351123200,B004MXSHA6,AWFA8N9IXELVH,1,Deceptive description,On Oct 9 I ordered from a different vendor the same product 1.2 oz- 6 pack. That order was 6 packs of 1.2 oz ea. When I saw this item I decided to order it. it read the same as my first order 1.2 oz- 6 pack & the price was approximately the same. I received the order today & what is it but 1 large bag of small packs totaling 1.2 oz. I call this deceptive not curious as another reviewer put it. I think the descriptions should be more specfic. The 1 star rating I gave is because of the description not the product itself. The chips are actually very good. +313,1351123200,B0058M8PFC,A2D3K3299LN2C0,5,Delicious way to flavour water naturally without too many calories,"I love the Flavrz range and this is my favourite flavour. One sachet will give a great taste to 1 litre (approximately a 32 oz nalgene sized container) for only 70 calories. I SO appreciate the fact that there are no artificial sweeteners in this - I'm much happier with just the very small amount of sugar, agave and fruit juice which are present here, instead of the acesulfame, aspartame etc which you get in other products. Tastes great, contains no nasties and hardly any extra calories. Awesome." +314,1351123200,B001E5E1KA,AZPT0S609H54D,2,Has trouble dissolving,"I tried this product to be used in my cold iced tea and limeaid. I have also used Stevita packets. Compared to Stevita, the Better Stevia packets don't dissolve in cold drinks easily. With Stevita, I can simply swirl the glass with a little water and get the packet contents to completely dissolve; with this product, I had to use a spoon to stir vigorously and it still left 'clumps'. Maybe it works better in warm beverages but it's a pain in cold drinks." +315,1351123200,B000HNF8ZW,A194RHTL3MSZ3O,3,Sweet,"I don't know if it's just me, but too many varieties of Cadbury chocolate are just too sweet! The Cadbury eggs and dairy milk bars are the best, but still quite sweet. The curly wurly bars are just not good enough to be worth the price, if you like really sweet chocolate, then get them, but if you're not a fan of really sweet chocolate then I advise against buying these." +316,1351123200,B0021WJ970,A07895621XU7DHRAAPYJU,5,So fresh with NO PRESERVATIVES perfect for my baby,"I am a proud moma to a not so healthy baby and finding clean food that his little body can tolerate has been a huge challenge, We have tried every organic baby food brand but to our total disappointment they all have citric and ascorbic acids added to help maintain their freshness which our son is sensitive too. We never knew about fresh frozen food, we are delighted to find Yummy Spoonfuls, I actually never thought I could find baby food without ascorbic acid (vitamin C) and citric acid added nor that it can actually be made fresh like you would at home, OMG, this is how food should taste, the peas, sweet potato, apple and squash all taste nothing like baby food. You all are amazing for making fresh food for our babies.. Thank you. hol cow, this is good, this is the standard to set for baby food..

I am a happy mommy" +317,1351123200,B001GVIRD4,A2X3269B0R5WRF,1,These are not unsweetened cranberries,"I searched for unsweetened cranberries on the Amazon website. These come up. The bag is folded a bit in your picture so the ""sweetened with apple concentrate"" is not clear. This food is loaded with sugar. I'll give them away, since I can't return them. You need to fix the search on this product so it does not come up as ""unsweetened cranberries.""" +318,1351123200,B000FBM3PO,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +319,1351123200,B004Y34TGK,ACG6QLZLLI0VK,2,twice the price of my expensive grocery store!,"I know what I am getting as far as product, taste, etc., love the PRIME, and always seem to run out of the very tiny containers sold at our (expensive) local grocer. I can't seem to find these at Sam's anymore in the BIG containers and gave Amazon a shot. I wanted to see what the 2 oz. size looked like to get an idea before purchasing but couldn't find a close match in our spice cupboard so I pulled the trigger. UGH! At the store today and I see the 2 oz. is the tiny one and about $2.50!! A rip off as each is about $5.00 here!" +320,1351123200,B007HP6J9C,A20NYQ6WARUXPQ,4,Caramel Matcha-yum!,"This matcha is smooth and creamy-and smells divine. The best part is that red leaf matcha is of high quality, so you never get the grainy stuff at the bottom as I have with other matchas. Try with just a splash of soy milk for a real treat!" +321,1351123200,B005NDXBHS,A2XURJBVAMC8SI,1,Great Ingrediants - old and dry,"We must have received a fruitcake made a year ago - this was so dry, you could not slice it- it just crumbled. You could tell the ingrediants were of high quality.

Last year we purchased a Jane Parker fruitcake and it was great, unfortunately, the large ones are no longer available through amazon.com. In addition, the tin ( which my wife wanted ) was damaged in 2-3 placed - fedex is rough on things" +322,1351123200,B008RYX8T6,A3G2YF0YIUR257,1,The Seller is NOT Starbursts,"As I ordered this for my boyfriend for his birthday as he LOVES the sour Starbursts but they were discontinued. So I ordered these and found that not only is the seller a scammer, I never received my product!

After multiple attempts and emails to ARRAM, I had to file a claim. They said they would ""redeliver"" this product THREE times and I still didn't receive it. They write their own feedback for a higher score and never solved my problem.

DO NOT ORDER THESE! You will never receive them. Very disappointed that I was scammed on Amazon. I never write reviews however, I wanted to ensure that this does not happen to anyone else." +323,1351123200,B0076YVPWU,AR5SY32T76DBM,2,"Bland and vaguely gamy tasting, skip this one","As far as prepared dinner kits go, ""Barilla Whole Grain Mezze Penne with Tomato and Basil Sauce"" just did not do it for me...and this is coming from a person who ONLY eats freshly-prepared Barilla Whole Grain Pasta at home!

The sauce is blandly sweet and completely forgettable, while the pasta itself was more mushy than al dente and had a vaguely gamy taste, too boot.

In all, as a long time Barilla fan, I'm quite disappointed with this product. There are far tastier prepared dinner options out there to recommend this." +324,1351123200,B008NDSNAU,A1TWM78I835NGZ,5,"Mmmmmmm, popcorn!",Great popcorn! I'm a repeat buyer too. One pack makes just a teeny bit more than my Whirly Pop can hold with the lid closed. The kernels pop big and have a great flavor. The hulls are farely tame for big kernels. My only suggestion for Wabash Valley Farms would be to boost the butter flavor just a smidge. Maybe I'm old fashioned but popcorn popped on the stove top is so much better than microwaved. +325,1351123200,B0029K321S,A1JWG1JHCPADI0,4,StarBucks coffee,"Star Bucks coffee is without a doubt the best coffee in the world. I do like the smell of star Bucks coffee when I return from walking my dogs.

The smell of good coffee covers the room. Then when I take the first sip, I know it is time to start my day." +326,1351123200,B009GAJ5QK,A1KRAZE3FLGA1G,5,"Good quality, fast delivery","I bought these to make homemade vanilla. The quality of beans was very good. Very ""meaty"" and full of beans. It was also received very quickly and they were well packaged in a vacuum sealed package. Would buy from this seller again." +327,1351123200,B0032RPLSY,AB3TIJG8RHKT3,5,"Excellent Quality , Best Source of CLAs out there","This is a high quality Ghee , superior tasting and above all made from grass fed cows' milk and certified organic by the USDA.
We use it over lentils , eggs , sauteed veggies , quinoa , rice , you name it and we use it. Tried it on whole grain toast too...YUMMY !! Being from grass fed cows' milk , it is rich in CLAs and boosts immunity and energy and is known to fight and obesity , especially trimming the waistline. This is my second time buying this and I am a consumer for life. I also introduced it to my friends and they are digging the taste.
I really hope AMAZON continues to sell this product ( prime delivery really makes it all the more special ).
Please try it for getting healthier and also the incredible taste. Highly recommended." +328,1351123200,B003VXHGE6,A21VWSCGW7UUAR,4,"Good, but not Wolfgang Puck good","Honestly, I have to admit that I expected a little better. That's not to say that this is bad coffee - in fact it's quite bold without being too acidic, and pretty satisfying overall. I think my main problem is that Wolfgang Puck's name is attached to it, so perhaps it set my expectations a little high. I have a Wolfgang Puck knife set that I adore, and is very high quality for what I paid for it. This coffee was on sale, so it was well worth it also, I just hoped for something that would knock my socks off - which it didn't. I also purchased the Breakfast blend, and Jamaica me crazy at the same time. The breakfast blend was the best, in my opinion, and the jamaican coffee smelled the best, but was the least successful." +329,1351123200,B0032RPLSY,A2ELBN89JT1S4T,5,Delicious!,This ghee is delicious. A little goes a long way because of the intensity of flavor. It imparts wonderful aroma to vegetable dishes and does not burn easily like butter. highly recommended. +330,1351123200,B00451WLYI,ALUMNTP7GDBS8,5,Don't underestimate this little packet,"Easy to travel with. I've used in Europe, I've used in American Wilderness. Light in wieght, strong in kick and flavor." +331,1351123200,B005GYULZY,A37UIFYX5G32W2,4,Not sure how to feel,"So, my dog likes it. I'll just get that out there right away.
But, it's awkward to carry and can be messy (which I didn't think it would be) but since you have to sometimes give it a little encouragement to get anything to come out, sometimes it just decides ""Oh you want ALL of it!"" and I have a sticky snouted puppy.
And, she has since lost interest in it and prefers treats she can smell better." +332,1351123200,B001QWDYEA,A398R5RS3RE8EO,4,I sprinkle it over her kibble and she loves it.,"I have been giving my dog the dehydrated dog food as an extra treat to add to her kibble. I have been looking for something I can add to my dog's food to give her a bit of variation, that won't make her tummy sick. This was the perfect solution. You can actually see what is inside and the ingredients are mostly very natural.

At first I rehydrated the food with some water and added kibble on top. This worked out great and it was so much easier than taking wet food out of a can. I suppose if you aren't too concerned with financial costs, and your dog is doing well on this food, keep going. But 6 pounds of food for $20.00 is not going to work for me.

I realize that the directions say you should add water but the owner of the local pet store that I purchased this from suggested to sprinkle a small amount on top of kibble, just dry. I did this and my dog liked it. At one point she would just lick up the dehydrated bits; and slowly eat the kibble. I mix the dehydrated parts with the kibble now. This made the dehydrated food last much longer than. A box lasts a few months now, and my dog enjoys eating her meals.

So far I have tried the Herbed Lamb and Beef Zucchini. My dog seems to like each one equally.

Pros:
1. Good for sensitive/allergic dogs.
2. Can use de/rehydrated.
3. Apparently it tastes very good.

Cons:
1. The price.
2. Does not last very long." +333,1351123200,B007AU14IK,A3EN8S9K3NZSIW,5,Sadly I can't find this product anymore!,"These were great healthy crackers from Costco- But they seemed to have vanished into thin air. It looks like the company changed their formula and packaging (judging from their website). That's a shame when they had such popular (and delicious) product that was available at Costco. Maybe Kirkland should consider a private label of this one :-) Either way, I hope they will bring this one back soon!!!" +334,1351123200,B002QWHJOU,A11VCDXC7TGFTG,5,A great deal on Greenies,Paid only $22 with free shipping for 96 teenies compared to about $35 at the pet store. How can you go wrong with a deal like that? The dog begs for his daily Greenie. Got to have them. +335,1351123200,B006G7Z5WE,A5BRO0WY8TQ46,1,WE LOVE POP CHIPS!,We love POP CHIPS. Pop Chips are the best snack for our family because we need to be Gluten Free. And POP CHIPS are delicious. The six 6.25oz bags we received from Amazon were SMASHED so they were POP CRUMBS! Amazon did nothing about it. Do NOT BUY FROM AMAZON! Buy POP CHIPS from your local store. +336,1351123200,B005RY7GH4,ALHNAGWMHYH0G,5,Cajun Meatlof Mix,"If you want to add a bit of zest to your meatloaf, try the Lysander's Cajun Meat Loaf Mix. The only way the family will eat meat loaf!!! Totally rocks!!!!" +337,1351123200,B006E0RJ0O,AT8N386G0DVS3,4,Delicate flavour and smell,"Delightfully fragrant after infusing in hot water. Delicate taste -- somewhat sweet and fruity, but the hint of ginger lingers (pleasantly) after the cup of tea is consumed.

I first tried this particular flavour in a Tea Forte sampler gift, and I'm glad I got the loose leaf tea in this form. I won't say that this is great value for 50 servings, but the uniqueness of this blend redeems this purchase." +338,1351123200,B003L7JO9C,A1EDO00W3VH2X5,5,Great tasting,"This is awesome salt. I buy it over and over as I just love the maltiness flavor. If you are a fan of salt and vinegar, then this is the salt for you." +339,1351123200,B005Y10XZ2,A11F5KW6QXHL8L,5,Yummy,These chocolate protein bars taste just like brownies. They are absolutely delicious. I was very surprised to find the South Beach Diet bars did not taste like a diet bar but instead something homemade. I recommend them highly. +340,1351123200,B002CJAT6W,ANP2X414OHQNS,3,damaged can in group,"One of the cans arrived damaged with a collection of bugs in it. The product itself is fine in the other cans, and I am using the rest. My cats really like this food and I have ordered it before with no smashed cans. I hope the company is not foisting old product on online shoppers." +341,1351123200,B000E63LAQ,AP4EOETI05U74,5,The best tea!,"I LOVE this tea, my all time favorite tea. Such wonder flavor and so soothing. On top of the great taste, it's good for you! Highly recommended!" +342,1351123200,B0062Q58MG,A1CHRKGGTEFFEW,5,So good. The next best thing to thin mints,I put these in the freezer and they taste just like the girls scoots thin mints. Their cheap and you can by they all year round. +343,1351123200,B0028H1H28,ATVE2GYK8S2KC,5,Twinings Peppermint Tea,This is my first time using any type of tea in a Kcup. I was very pleased. The flavor is definitely as good as tea bag tea. I wil certainly reorder this item. +344,1351123200,B004ECMDXW,A3FLNCYFL7465Q,5,Very tasty and good for you!,"I have always loved this product and was glad to subscribe so that I could have a constant supply on hand. The smoky flavor and the lower salt content are very tasty. The supplier keeps juggling the price and sometimes it's not available; I suspect we consumers are eating these poor fish faster than they can propagate. I'm very glad Amazon makes these available, buying them locally can be very expensive by comparison." +345,1351123200,B0044AAGNI,A3TRJP82AD6LXF,1,Okay if you like cinnamon candy.,"Just not the normal flavors I am used to getting. The red ones are hot and spicy like the cinnamon candies. So if you like those and like gum this would be perfect for you. The pink, orange, and yellow dont have a great flavor. I really like the green ones." +346,1351123200,B0030ZLOUC,A1MRWTJP5JWWGV,5,Premium Dog Food!,"I ordered about 8pm on 10/23 and got my order around 3pm on 10/24. My order was very fast and I expect nothing less of amazon! My dog absolutely loves this food, but of course all dogs love any kind of food lol My rottie's coat is very smooth and shiny. This is exactly what Eukanuba advertised so I'm very pleased with the results.

Thank you amazon for the expedient service!" +347,1351123200,B005MHRB7G,A1KES0BS9W83OF,4,Great Item,"This is my go to choice for premade baby food. I love the packaging, making it easy to throw in the diaper bag and pull out whenever needed. I like the ingredients a lot more than similar products. It is just the pureed vegetables and some lemon juice to keep it from spoiling. My kids love it and it is always a treat when we are out and I can grab one. It took them a little while to figure out how to suck it out and I normally have to push up the last of it for the one year olds. Great product, would recommend it." +348,1351123200,B000KLTM4O,A20CUART3ZQDP9,5,Sweet Perfection,"Not everything in this world is perfect, but this really is the perfect candy. Is delicious!!! I cannot have enough of it!" +349,1351123200,B004JQXBT8,A2ZSNN5RGMYG15,5,Flavorful coffee,"I have acid reflux disease, so I try to stick to foods and drinks that won't cause me any grief. This coffee tastes great and I don't have any tummy problems when I drink it." +350,1351123200,B0018NLL2Y,A3FW29GQ2BNLHI,3,Unusual,"Cute packaging. Fun for kids. The flavor is way more ""mint"" than banana. In fact, you can barely taste the banana at all if you're expecting banana-flavored candies. It's an unusual flavor combination, at best." +351,1351123200,B001FVLLGK,A2KG2ME7DZQ7L4,5,Fenugreek Aids in Breast Milk Production,"Daughter is breastfeeding but felt she wasn't producing enough milk. We decided to incorporate Fenugreek into her diet via various ways. Since she is a sprout lover, I agreed to grow these organic sprouts for her. I used about a tablespoon or so initially and was elated how well the seeds sprouted. There were very few seeds that didn't take. I did prewash and soak overnight in a hot rinse bath because the seeds are harder than some. What an incredible aroma from these sprouts. After 5 days in the mini Sprout Master, they crisped up in the fridge and are now a healthy addiction to daughter's diet. Fenugreek is known to help increase milk production and these seeds can also be ground and added to many Indian or African dishes for an unusual almost maple syrup taste. Very worth the extra time to sprout our own seeds without a fear of salmonella as many sprouts have been contaminated in the grocery stores. Always buy organic sprouting seeds." +352,1351123200,B00438XVGU,ALUMNTP7GDBS8,5,Don't underestimate this little packet,"Easy to travel with. I've used in Europe, I've used in American Wilderness. Light in wieght, strong in kick and flavor." +353,1351123200,B007FRCY1O,A13LGJZ6A39BP1,5,Husband Loves It!,"This is one of my husband's favorite teas. I wish it weren't so expensive, but it does last a long time. I bought an 8 ounce bag and received 4 separate 2 ounce bags, which is quite a waste of packaging." +354,1351123200,B000YOQOAC,A17XLNVNQ8GIQE,5,Superb Flavor and Great Price,"Golden Barrel Blackstrap Molasses was all that I anticipated and expected. I was inspired and encouraged by memories of my father adding it to my oatmeal when I was a child. I was not disappointed! I still like oatmeal as my Dad made it with raisins, some pecan chunks and a tablespoon of molasses. No white sugar is needed...it is pretty sweet! I sometimes add almond milk, but not always! Golden Barrel Blackstrap Molasses is also great in molasses cookies and Ginger Snaps! You just have to try it to be consumed by the joy jumping on your tongue! Thank you Golden Barrel!!" +355,1351123200,B003D4F1QS,AWZZUM4YPP3H9,5,I couldn't love the double bergamot more,I'm absolutely addicted to this tea. it's the best tea I've ever had. when Starbucks changed their black iced tea I had to find a replacement. this stuff is better than anything ever. I'm very passionate about tea. I've never had it hot but I'm sure it's delicious that way as well. +356,1351123200,B003M678R2,A2TLHWZKNDRJY0,5,Nothing but the Best Fir My Cat,"This is the greatest food I have ever found for my cat. He's old and not in the best of health, but since I switched him to this diet he has had an incredible change in his health. His diabetes has reversed itself, and his kidney functions have become normal again. He will continue to live many more healthier years. And, he loves the food!" +357,1351123200,B004BKVQF8,AG4YGLLIE8BWP,5,Makes me drool just thinking of them,"The Brit's have out done us. The flavor is supreme,they satisfy my hunger for steak and onions...
Get them while you can... Their other flavors are great tooo" +358,1351123200,B004B9EJQW,A2MPXQZRBBS9QR,5,My Dog's Favorite Snack!,"I was first introduced to this snack at my dog's training classes at petco. He really enjoys them! The pieces are really tiny but you can tell that it is made from quality ingredients (it also smells really bad), but my dog loves it. I highly recommend this product as it is a quality product that is actually healthy for your pup!" +359,1351123200,B0015AWU7U,A11XAIFA10G7TS,5,Wonderful!,"I was standing in a hallway at my daughter's high school when one of the other parents handed me this sucker. I loved it! Within a couple of days, I went to the grocery store to buy a bag and they were out. Drove to another grocery store and they were out. Came home and ordered from Amazon (which I should have done from the beginning).

These are basically melted Apple Jolly Ranchers coated in caramel. Each one is oddly shaped due to the ingredients so they look a bit odd, but who cares when they taste this good? The sweet and the tart mix together well for a wonderful flavor. I also like them since they take a while to consume and when I am finished, I feel like I have satisfied my craving for sweets.

I keep a couple in my purse now and have found myself handing them out to friends. Most of whom have the same reaction I do --- great!" +360,1351123200,B006C2AAHI,A3NTX3H2MMRQKM,5,stockclerk,"We came across these on a trip to Hawaii that a friend had asked us to get, and found that these were fantastic. So had to get some more and this was a great way to pickup without traveling back to Hawaii!!!!" +361,1351123200,B000SARJQK,A2UWLIFD3VBKPS,5,got what I expected,"This is a black tea with french vanilla essence, so obviously it's not going to taste like most vanilla people are used to. Black tea has a strong flavor so the vanilla doesn't stand out as much and also natural unsweetened vanilla tastes a lot different than commercial vanilla products or artificial vanilla.

I'm guessing a lot of people are used to artificial vanilla since it's a lot sweeter. The difference between real vanilla and artificial vanilla is like the difference between a watermelon and watermelon flavor.

I do have one complaint though, the tea leaves smell like maple syrup and vanilla. Kind of weird, but it tastes good." +362,1351123200,B0045GX66A,AW4AH10OLSV5I,5,Delicious!,"I haven't had Orange Blossom Honey this good since we moved from Florida to Texas many years ago. It brought back amazing memories and a very happy mouth. If you are a honey lover and want the best tasting honey ever, you have to order a couple of bottles. They were shipped timely, packaged very well (in a plastic bag besides the packing material) reasonably priced, and worth ordering. This was my first order of Tropic Bee and it definitely won't be my last." +363,1351123200,B002IEVJRY,A2Q89DEW2Y91A7,4,Nice but very sweet,"I really enjoyed this iced coffee drink, but it is very sweet. I usually drink a shot of espresso over ice in a 12 ounce glass then filled the rest of way with skimmed milk, with 2 packs of sugar. This tasted like my homemade version but was much sweeter. The coffee flavor was good - tasted very fresh-brewed despite coming out of a can. Just sweet. Candy bar sweet." +364,1351123200,B002IEVJRY,A2GPLOLLE6BUDT,2,I did not like it.,"I did not like the taste of this Illy cappuccino drink. I like coffee and coffee drinks in general, and I was looking forward to trying something new, but this product had a slight metallic/chemical aftertaste that, while not strong, was present in sufficient strength to make it less than pleasing to me. I much prefer the Starbucks Mocha Cappuccino drink that tastes only of coffee, milk, sugar and chocolate. I do not know if it is the metal container that imparts the aftertaste to the Illy product. The similar Starbucks drink comes in a glass container that I suppose could have something to do with its fresher taste. Also, since my opinion is certainly subjective, others may like the Illy drink and be just as justified in their opinion." +365,1351123200,B004TEVING,A26CJA8EMEJW6W,5,Great Salt Substitute,"My wife and I use this as a low sodium alternative to regular table salt. We cook with it and we sprinkle it on food on the plate. Either way, it tastes absolutely the same as standard salt....still with the iodide we want but with 66% less sodium, according to the label. We certainly recommend it." +366,1351123200,B0007IJE0W,A1U9DNQW2EKXKH,5,Mom loved it!,"I ordered this gift for my mothers's birthday and she loved it!! Since Im in college, sending my mom this gift was a great way to make her feel special :)" +367,1351123200,B004BKVQF8,AWFA8N9IXELVH,1,Deceptive description,On Oct 9 I ordered from a different vendor the same product 1.2 oz- 6 pack. That order was 6 packs of 1.2 oz ea. When I saw this item I decided to order it. it read the same as my first order 1.2 oz- 6 pack & the price was approximately the same. I received the order today & what is it but 1 large bag of small packs totaling 1.2 oz. I call this deceptive not curious as another reviewer put it. I think the descriptions should be more specfic. The 1 star rating I gave is because of the description not the product itself. The chips are actually very good. +368,1351123200,B0081XPTBS,A1KG2FZQW58S2F,4,"It's not Mother's milk, but it's great formula!","After going back to work full-time, I really struggled with keeping up with nursing my baby full-time. I just could not meet the quota that baby wanted to consume through pumping, no matter how often I pumped, what supplements I took, what diet I had, etc. I started using the Enfamil samples they sent me in the mail before I had my baby. First of all, I was kinda disgusted with how yucky it smelled. Baby didn't seem to like it either and spit up most of it after drinking it. We went to try their formula for babies who are gassy and as I was waiting for it to warm up I read the ingredient label and was shocked to see that the very first ingredient was corn syrup solids. Really??? In infant formula? I know it needs to contain sugar but come on!
So that started me on a research binge and I found that all formulas have to have some sort of sugar in them, but the kind of sugar is what matters. Moms make lactose and glucose (although in smaller amounts than lactose) and there is also fructose and sucrose. Fructose is what they make from corn (AKA HFCS), and sucrose is what they use in artificial sweeteners. I voted primarily for lactose and glucose, but found that a lot of formulas focused on fructose and sucrose, and if they had glucose it was from brown rice (this was during the scare that rice had arsenic in it).
FINALLY I found Earth's Best. I was impressed that not only did it have lactose and glucose but glucose was the 4TH ingredient instead of the first or second. This was the most important point to me in purchasing, but even more important -was baby going to like it? When I mixed it the first time it didn't have a sour odor to it, and it smelled like milk (granted, as all formula, it smells after it sits for a while). It even looked like milk (hooray) AND baby gobbled it right up. ALL OF IT. She loves the stuff! Best part is there are no problems with transitioning from breast to bottle, so now she is supplemented with the formula after her fill of breast-milk when I'm home. She even gets excited to drink it!
I think there's something everyone needs to keep in mind. We don't live in a `clean' society any more. Everything has toxins and chemicals, you have to choose the lesser of two evils. Everything is bad in excess: sunshine can give you cancer, tap water can give you cavities and diseases and raw fruits and veggies can give you pesticides. Even air is bad for you, depending on where you live. So I say, do the best with what you have and don't let yourself get too carried away with all the hype about harmful stuff. In the end, I feel I made the right choice for my baby and chose the next best thing to breast-milk that I could find that was relatively affordable and easy to obtain." +369,1351123200,B008XOKY1U,AWFA8N9IXELVH,1,Deceptive description,On Oct 9 I ordered from a different vendor the same product 1.2 oz- 6 pack. That order was 6 packs of 1.2 oz ea. When I saw this item I decided to order it. it read the same as my first order 1.2 oz- 6 pack & the price was approximately the same. I received the order today & what is it but 1 large bag of small packs totaling 1.2 oz. I call this deceptive not curious as another reviewer put it. I think the descriptions should be more specfic. The 1 star rating I gave is because of the description not the product itself. The chips are actually very good. +370,1351123200,B001M5RNTS,A1RNY62H7OANUE,5,Love This Stuff,"Great variety and comes in a package that does not crush during delivery. I gave it it's own shelf in my pantry. No fuss not mess and convenient to get to. Delivery was quick and when you add it up, I believe, I am saving money over the grocery store" +371,1351123200,B002MZU7L8,A32FCOK0ED7W3G,1,Not a product of usa!,"This product is from Brazil, not the usa and doesn't taste that good! This is false advertisement from Native.
I will not be buying any more of their product!" +372,1351123200,B000FBQ54Y,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +373,1351123200,B000LKXJW0,A1319YKZ1JYBNF,5,Love These!,"These are a great substitute for bread if you are living gluten-free. I eat them nearly every day for lunch. Very tasty, esp as a part of a makeshift sandwich in lieu of bread. My 5-yr-old daughter loves them; she calls them popcorn cakes." +374,1351123200,B005X1X17A,A24UHAYXKSS3AP,5,Yum,My kids love these Earnest Eats snacks. I like that they are more nutritional and healthier that traditional snack bars in the grocery store. I also admire the use non-oil alternative products such as almond butter and non-processed sugar such as dried fruit for sweetness. I have already ordered these bars 3 times and will continue! +375,1351123200,B002838YVE,A3UC586EDL2M96,5,back to nature oatmeal cookies,Back to nature cookies are great cookies to buy ...they taste great and are more healthier for you ...cant beat that ..they are awesome ..we love all of the varieties ...these are all the cookies i buy ..all the kids that come to my house they will eat the entire box in one sitting ..and i love the fact they are getting better ingredients without all the bad stuff +376,1351123200,B0036Z3ULM,AR4D2TK36WILK,5,Great product,This is great popcorn. We make it in a stir crazy and almost every kernel pops and it tastes so good. We had family visiting and they fell in love with it and now they steal a bag everytime they come over. This is by far the best. +377,1351123200,B00376ZEY6,A3FDSLA2LFCP9N,5,Also guten free and kosher,"Didn't buy these here, but they are the best. Company certifies gluten free and kosher, it would be really nice if that information were available on Amazon, but it's not. I got it from the company. I believe they also are made in a facility that doesn't process nuts, but you'd have to check that on the company web site. Search for the company website for allergen info." +378,1351123200,B0061IUKDM,A16GBXDS51J019,4,"Refreshing and tasty, hot or cold","While I am not a tea expert, I have tried a number of different green teas at the office over the years and found most of them the same. Most most of them have been rather ho-hum. Something I drink to feel better but not necessarily tasty.

This one stands apart, and is pleasant to drink. With the colder weather coming I suspect I will be enjoying it more.

This green tea also stands up fine to a bit of ice to drink cold, not something I can say about any of the other green teas I have tried, mostly because I wouldn't have even considered it with them. I am going to have to get some more, soon." +379,1351123200,B008XOKY1U,AG4YGLLIE8BWP,5,Makes me drool just thinking of them,"The Brit's have out done us. The flavor is supreme,they satisfy my hunger for steak and onions...
Get them while you can... Their other flavors are great tooo" +380,1351123200,B001E5DZIE,A3OZC8ZFZR1G41,3,not too sweet,"Closest thing I've found to breakfast bars I used to love that were discontinued...not too dry, not too sweet, not too gooey...just right! I wish you could buy them by the case they are so good. Have one for breakfast every morning." +381,1351123200,B003BV2LES,AG4YGLLIE8BWP,5,Makes me drool just thinking of them,"The Brit's have out done us. The flavor is supreme,they satisfy my hunger for steak and onions...
Get them while you can... Their other flavors are great tooo" +382,1351123200,B003BV2LES,AWFA8N9IXELVH,1,Deceptive description,On Oct 9 I ordered from a different vendor the same product 1.2 oz- 6 pack. That order was 6 packs of 1.2 oz ea. When I saw this item I decided to order it. it read the same as my first order 1.2 oz- 6 pack & the price was approximately the same. I received the order today & what is it but 1 large bag of small packs totaling 1.2 oz. I call this deceptive not curious as another reviewer put it. I think the descriptions should be more specfic. The 1 star rating I gave is because of the description not the product itself. The chips are actually very good. +383,1351123200,B005HSSCFK,A3U7W07OLWYCNE,5,One of the best across the US,"I am a BBQ chip fanatic and have tried every chip in almost every state. These are in the top ten, crisp, real potato flavor, taste home-made. The only suggestion is they could add a little more of the bbq flavoring, that would move them up to the top 5 category and at this price they can't be beat. Thank you Route 11..for your little slice of heaven" +384,1351123200,B003B3OOPA,A2IA6EA7ANJ25X,5,Great taste,"This product is great. My husband and I both love it. It is good as a supplement, and for cooking. It has a wonderful scent and a soft taste. It is a very healthy product. We are pleased." +385,1351123200,B001KP8EO8,ABWCUS3HBDZRS,5,Excellent product,After scouring every store in town for orange peels and not finding anything satisfactory I turned to the online options.

I received the candied orange peels today and I found exactly what I was looking for. The peels are perfect for the fruit cake I plan to bake. The peels are not crystallized with sugar which is great I like the texture and the taste of the peels and I am gonna order another box soon. +386,1351123200,B001EQ4NWK,A1H3CPV8ARWNLM,1,"Bonus: Bag of sunflower nuts also contained a giant, dead beetle","If you enjoy a side of dead, salted beetle with your sunflower nuts, this is the product for you. I opened a bag this morning, and after eating a few handfuls, noticed that an insect leg had been uncovered. This was shortly followed by the remaining 2.5"" of beetle. Needless to say, I'd avoid ordering this product at all costs, and if you have, throw away whatever you haven't eaten.

If I could post a picture with the review, I would." +387,1351123200,B002PI82P0,A2E9MJ0C3LHB2Q,5,perfection~~!!,LOVE this machine. SO easy and quick and requires little TLC and maintenance. Been using espresso makers for over 25 years and this is best of ALL!! +388,1351123200,B002DHNIBG,ACI2ZCJJN568S,4,Great flavor,"These are so delicious. Great flavor for autumn or any time. We all love them. But not too sweet, way more crunchy than chewy, this makes it a bit messy. Its like a crunchy cookie. Everyone loves crunchy cookies!" +389,1351123200,B003B3OOPA,A2LLLUYSWV2E59,5,Great product!,"This is a right one I have expected. My hair feel so smooth and shiny after 2 weeks I use it. But you should wash your hair clean completely by shampoo, if not your hair feel sticky and will be dirty soon." +390,1351123200,B002FXOTOS,AWY2S8X9UC4CL,5,Good Girl Treats (GGTs),"I purchased these treats on a whim for my dog a couple of years ago to assist with training. She loved them and is well behaved! The grandkids sing a song and our dog will dance for a treat. My dog is eight years old and thanks to Dingo Treats, the vet says she has teeth like a two year old dog! The only problem with the treats is that its extremely difficult to purchase in the store. Thank goodness they are available on Amazon." +391,1351123200,B0028GWJI0,A1H31XV4OODPAK,5,"Dog likes, what's not to like?","My Westie was allergic when we first got her from OK Westie REscue. She has always been on some fish type food, and she continues to do well on this. No problems with it. It is really terrific to buy and have it shipped to the house." +392,1351123200,B0010Y6QBC,A1QGG2JWXLY6PM,4,Good product....no energy boost yet,"I bought this since I read about the more than positive reviews. My husband and 5 yr old take this daily as a shake added to our oatmeal and although we have not seen a change in our energy level, we seen a lot of movement in the bathroom arena. I gave it a 4 because I have not seen any energy change yet, which is really why I bought it. If our energy level explodes then I will change my rating." +393,1351123200,B000FAPLS6,A2Z1ZQ2A8CTG9S,5,thank you amazon,"They are mixed. I love them!..... I found some of them firm and some not firm....read the first sentence again. I wish I was able to tell you haw well they held up, or stored...but I ate them all and came back for seconds.....if I am able to eat them slower, I will alter the review and let you know how they store :) enjoy they are great!" +394,1351123200,B0034EDLS2,A1XV4W7JWX341C,5,"Ordered these bars for my daughter in college who's on the go...will re-order for both of us, they are soooo yummy & HEALTHY!",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the cranberry too.. +395,1351123200,B008JKU2CO,A34XBAIFT02B60,1,Should advertise coconut as an ingredient more prominently,"First, these should be called Mac - Coconut bars, as Coconut is the #2 ingredient and Mango is #3. Second, lots of people don't like coconut. I happen to be allergic to it. Word to Amazon that if you want happy customers to make things like this more prominent. Thanks." +396,1351123200,B008CH3IKM,A3AU23RO5XD06E,5,Great Basil Taste - Organic- Gluten Free,"About time, this is the best organic gluten free basil pasta sauce I have ever had. My wife is Italian and said she has never had better." +397,1351123200,B000KK22Q0,ASEUIZKTJIFQX,5,Found what I been looking for,I have found what I was looking for in a popcorn seasoning. I have been looking for at least three years. I plan to order more soon. +398,1351123200,B0034EDLS2,A1Z42SO1EE4L02,5,Great Taste,I love the KIND bars. They taste great and are much healthier than other bars. Also they satisfy your taste for something sweet so are healthier than eating candy. +399,1351123200,B001EO5U3I,A2XXBZPQT5EXHV,5,There Is No Better Oatmeal Around,"I'm biased, I'm Irish and overall I think everything is better if it comes from Ireland. This includes whiskey, beer and now oatmeal! The oatmeal, of course, is the healthiest of the three! I know that Oprah has recommended steel cut oats for their health benefits, and while I'm not big into listening to Oprah it appears she's right on target here. I started eating these right after a cholesterol test, the doctor wanted to put me on medication and I asked if I could come back and take another test in two weeks. I changed my diet to include Irish oats for breakfast every morning and in two weeks the doctor said ""hey, whatever you're doing just keep it up"" as the numbers were much better.

Don't get me wrong, there's nothing that is a miracle here, but they are definitely a healthy choice for breakfast that will leave you better off than sugar filled cereals or bacon and eggs. The oatmeal's taste is fairly bland, as you'd expect from oatmeal so I like to make mine with cinnamon and raisins or with either a little honey or sweetner added.

Amazon has always been a better price than any of our normal grocery stores so it's a great place to get them if you're local club store doesn't carry it!" +400,1351123200,B008JKU2CO,A1XV4W7JWX341C,5,"Loved these gluten free healthy bars, saved $$ ordering on Amazon",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the coconut too.. +401,1351123200,B000FVK9SM,A2NFFL8QAACW1N,5,Monin Syrups Raspberry Tea,The Raspberry Tea Syrup is great. I can use it for hot and cold drinks as well in certain recipes. +402,1351123200,B0007U5J40,A194RHTL3MSZ3O,3,Very sweet,"I like the crunchy-ness of the middle, but it doesn't have a great flavor, basically just a very sweet taste without much substance. The chocolate around it is pretty sweet too. If you like really sweet candy and crunchy-ness then go ahead and get them, but there are much better chocolates out there." +403,1351123200,B0039KEQTO,A2C7MXJF5OOSBS,5,"Great product, but too much of it.",This pearls were exactly what I was looking for and made delicious tapioca pudding. My only complaint is that you have to order so many boxes. What am I going to do with all that tapioca?? Two or three would've lasted me a long time. +404,1351123200,B000PUQPA4,A2LGAFQBR7FBHE,5,"Excellent Marshmallows, just be aware that they are made with corn syrup.","Excellent Marshmallows, just be aware that they are made with corn syrup if that is an issue for you. I did not read the ingredient list so that was my fault. Still looking for gelatin and sugar based marshmallows." +405,1351123200,B007HP6TVU,A20NYQ6WARUXPQ,4,Caramel Matcha-yum!,"This matcha is smooth and creamy-and smells divine. The best part is that red leaf matcha is of high quality, so you never get the grainy stuff at the bottom as I have with other matchas. Try with just a splash of soy milk for a real treat!" +406,1351123200,B0064A8DXG,A3CM9FBBOL2WWB,4,Does What you expect!,"These refillable k-cups are a bit pricey, but will save you money & make a great cup of coffee, provided you use the right coffee. I've found you need to go with a stronger coffee than you would normally use because it comes out weaker than with the actual K-cups or a traditional coffee brewer. Use a stronger coffee & you won't be disappointed. I've had them for 8 or 9 months and they hold up." +407,1351123200,B0096RP89G,A2V9A4GGAQ259L,5,Delicious!,I have tried the coconut curry one and I absolutely loved it. The flavors are amazing. This is not your same old same old boring soup. I could eat it every day. Now I want to try all their other flavors from Campbell Go. +408,1351123200,B008MNDQPI,AAUVIV5KLSC8A,5,sesamiOil,"This is a good grocery for us.

If you cook something,you can use it.

It is smells so good.

You should buy it." +409,1351123200,B007Y59HVM,A1KF5QYV41WH1G,5,San Francisco Bay Coffee Fog Chaser One Cup for Keurig K-Cup Brewers,"San Francisco Bay Coffee Fog Chaser One Cup for Keurig K-Cup Brewers is a very nice complement to the Keurig Green Mountain selections. I am now on my computer with a nice hot cup of the Fog Chaser at my side. I like the fact that there are eight cups to an air tight bag, and that there is an external plastic container for storage after you open one of these bags. A very nice option which I will again use for future purchases." +410,1351123200,B007Y59HVM,A2ERWXZEUD6APD,5,Fog Chaser Coffee,"This coffee has a full body and a rich taste. The price is far below the ""other"" coffee in the K cup and does not use as much plastic." +411,1351123200,B007Y59HVM,A318AB05Z9WR6S,5,Good buy for k cups,This coffee is delicious. No issues with the packaging. No grounds in brewed cup. Great value! I'll buy other blends in the future. I consider myself a coffee snob and this exceeded my expectations. +412,1351123200,B000FBM3YK,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +413,1351123200,B006ZMYLKC,A2GEZOSPJ0SWMZ,5,My Favorite K-Cup!,"I absolutely love this hot cocoa! Our office purchased a Keurig brewer about a year ago, and while the brewer is fancy and very nice, I never had an opportunity to use it until now. You see, I'm not a coffee drinker at all. Coffee makes me jittery all day and I feel like my bones and veins are vibrating. Not what I need when I work with high schoolers all day! This hot chocolate k-cup is a perfect treat for me, especially now that the mornings in Southern California are a little cooler and crisper. The chocolate flavor is well balanced, not too rich and definitely not too ""pasty"". I hate it when the powder mixes have leave the residue in the bottom of the cup. I usually make my hot chocolate with milk when I use powder, but with this k-cup, water is just fine. I definitely plan on buying more all year!" +414,1351123200,B007Y59HVM,AZ60BJ1NNZO6D,5,San Francisco Fog Chaser,Not for the timid. Great flavor with a bit of a bitter bite. Longer it sits the better the taste. My number one choice. +415,1351123200,B008I1XPKA,A1X72EVJFHF8EA,5,Great Cup of Coffee,We enjoyed the Brooklyn K Cups very much. The price was right and it was very convenient to receive by mail. We would definitely consider ordering again. +416,1351123200,B000EDGB7E,A33RFE73ENQRPM,4,Healthy treats for the kids,My kids love these freeze dry fruits. Great as a take along snacks when we are on the go. A little expensive for the amount of fruits you get. Will stock up the next time Amazon has these on sale (lighting deal). +417,1351123200,B000Z3VUEC,A3F6933AX1JNMQ,1,Did Not Like,I really wanted to like this tea. I was hoping it was going to be my new favorite especially after reading the reviews on here. I did not like it all and ended up taking it back to the store where I bought it. Luckily Wegmans let me return it. I also only paid $1.99 for a box. If you are used to drinking vanilla tea then this will not compare. It has a wierd flavor to me and even smell. I tried one bag with just water and another with cream and sugar and still hated it. Regarding the price I can not believe it costs this much on Amazon. I suggest checking your local stores at Christmas time and stocking up if you like it. Wegmans in upstate NY has it and it is only October. +418,1351123200,B008I1XPKA,A25D37J5IF44YK,5,Good coffee makes for a great morning.,I was very happy to find this deal. Good price and excellent coffee. Gets my morning off to a good start. +419,1351123200,B000EDMDZS,A33RFE73ENQRPM,4,Healthy treats for the kids,My kids love these freeze dry fruits. Great as a take along snacks when we are on the go. A little expensive for the amount of fruits you get. Will stock up the next time Amazon has these on sale (lighting deal). +420,1351123200,B004U8Z4MM,A3JR3NYF4RD23T,4,Very convenient,"Before I order anything online, I try to research as much as possible. There were so many comments complaining about the packaging, stating that the litter was spilling out of the box when it arrived. I was under the assumption that the Arm & Hammer box was shipped alone. And that may be the case if shipped from another supplier, but I have a monthly subscription from Amazon. The 40lb litter box is placed in a different Amazon box before it ships. Some of my litter spilled out too, but I just simply poured the 2 tablespoons back into the original box. The subscription saves money and makes things so convenient, since it's delivered right to the door each month. Then the shipping is free on top of all that. Lifting 40lbs is no prob for me, but my girlfriend sure does appreciate the free delivery.
Pertaining to the effectiveness of the litter...... I am a dog person, so being around cats is new to me. I made my girlfriend try at least 10-12 different types of litter, and found that none of them work perfectly. Arm & Hammer works for us since it meets most requirements better than others. (masks odor better than any other I've tried, clumps well, inexpensive) Then the subscription makes it so convenient. This is a real unsolicited review....the type that I look for when I scan other reviews to help me make a decision. I hope this helps someone." +421,1351123200,B000MT4HWG,A23NBI33FUN8F9,1,My Chihuahuas HATE This Product,"My two Chihuahuas loved ""Cadet Gourmet Pet Treats Duck Breast Fillets"", the 32-Ounce package I had been buying at Costco. However, I discovered it was made in China and feared this product could make them sick or cause death. So I started searching for a company in the USA that made dog jerky treats. I found Plato Natural Duck Strips and ordered a bag. This product does not look like or smell like duck jerky strips. My Chihuahuas sniffed it and just walked away. It doesn't even smell like duck. Rather, it smells somewhat fishy. A waste of my money!" +422,1351123200,B006N3I8ZW,A1QU5WEF3LS9YD,5,Twinings---a good cup of tea,I have been drinking Twining's tea for years. It used to be made in England but now they have a plant in North Carolina for the American trade. The tea is excellent. I drink the decaf for health reasons and find that it is as tasty as the regular tea. +423,1351123200,B007GYQ6LA,A33RFE73ENQRPM,4,Healthy treats for the kids,My kids love these freeze dry fruits. Great as a take along snacks when we are on the go. A little expensive for the amount of fruits you get. Will stock up the next time Amazon has these on sale (lighting deal). +424,1351123200,B008NDSNH8,A1TWM78I835NGZ,5,"Mmmmmmm, popcorn!",Great popcorn! I'm a repeat buyer too. One pack makes just a teeny bit more than my Whirly Pop can hold with the lid closed. The kernels pop big and have a great flavor. The hulls are farely tame for big kernels. My only suggestion for Wabash Valley Farms would be to boost the butter flavor just a smidge. Maybe I'm old fashioned but popcorn popped on the stove top is so much better than microwaved. +425,1351123200,B008I1XPKA,ADZN913PN0G2C,1,Coffee Let Down,"I had high hopes for this coffee after reading some of the reviews; although some of the reviews were not so favorable either. I should have taken those into account before ordering this coffee. This coffee was awful. I tried it a few times on different water settings on my Keurig thinking that maybe a lower setting would help. Maybe a little, but certainly not much. It was bland and had hardly any flavor. I won't be ordering this coffee again." +426,1351123200,B006Q7YG2O,A7EU2BWLLCJY2,5,My dogs love them!,"I've tried several different kinds of freeze-dried chicken treats and, for the most part, they are all so dehydrated that they literally turn into dust in the bag. You get a couple of solid pieces out of a bag, then the rest you have to sprinkle on top of dog food because it's just chicken powder. These don't do that! They have some additional ingredients in them besides chicken (veggies and fruit mostly) so they stay together very nicely. They are definitely designed for larger dogs - each treat is about the size of a fifty-cent piece (when was the last time you saw one of those?) and about a quarter to a half an inch thick. But they break easily into smaller pieces for little dogs. I have teeny, tiny chihuahuas so I have to break these treats into M&M-sized pieces for them, but they can't get enough! And the bag goes a long ways if you are breaking them down into smaller treats. These are now permanently on my shopping list for my babies." +427,1351123200,B002A3NO9E,A2Q9EETPTSL36G,5,Excellent Kit,"I just want to say I feel extremely sorry for Danielle (the previous reviewer) and the people she gave these as gifts to. For me, this has been wonderful and I intend on buying others.

It takes a while, for sure, and what helped with mine was two things:
1.) Keeping a plastic bag over the bag the plant is in for an extremely long time, months even. Once it gets growing...
2.) Transferring the plant into a self-watering pot and keeping it in as much sun as possible (I'm an indoor gardener lol).

Now, for me, the trick is to get it to STOP growing. :) Also, the oregano is DELICIOUS. Anyway, these are cheap enough that I'd say they're worth a go. I've had great luck with mine." +428,1351123200,B005STNE3S,A1SSZEZA8U2RNK,5,Perfect for Dig Pink,These were perfect for my red velvet cupcakes with cream cheese frosting for a Dig Pink volleyball game! Everyone loved them and they softened into a frosting consistency after sprinking them on the previous night. Loved them! +429,1351123200,B001PQREOI,A3L1M0TJ2I384,4,Italian seasoning,This is a great size for cooks for me. I cook a lot. It is much cheaper to buy this product than it is to make my own. My local stores do not carry anything close to this size. +430,1351123200,B0029NILPW,A3N1XX8CQLSBZI,4,chow time,"a fine delicacy, with a pleasant smell and taste that my dogs look forward to. Packaging is easy to store and dispose" +431,1351123200,B007RTR9DS,A3HLLKGK6GTUPF,4,nice not too greasy,"i did enjoy this product in my hair.

usually i get too greasy or too watery.

the product had a nice consistency and the smell was very pleasant.

yet like with all products like this, it's difficult to get out of the bottle. My fingers get messed up and once you get to the middle it gets even more difficult.

If someone could design a better way to get the product out that is like this, i would love to buy this product more." +432,1351123200,B000SATIVO,AJAS77J3NW4T1,4,"Worth the money, but nothing to write home about.","First of all, shipping and packaging went very well. I'm impressed in that regard. After reading the previous review, I was kind of expecting to be blown away by the wonderful smell and taste. I'm not saying it tastes or smells bad, but it's not as amazing as the other reviewer puts it. The fragrance and taste is hard to describe, but good. I brewed it at a relatively hot temperature for about 6 minutes, and added sugar with it. The tea tastes fruity but with a cinnamon kick to it as well as floral undertones. I would recommend this product to another person, but I don't think I'll be able to use all 16oz of it. Buying a smaller bag might be a good idea." +433,1351123200,B008I1XPKA,A3QAP0MHEJK3UW,4,No coffe ground in my cup,I have read the reviews and noticed some complaints of coffee ground residual left after brewing. I have tried ALL of the blends and I have not had a single problem.
My kuerig is over a year old and I can honestly say this coffee is very good and a reasonable price!
I was so thrilled when the new hazelnut flavor came out and it is very flavor filled and no unpleasant aftertaste. I give it a solid 4 as the only way it would get a 5 is if I brewed a whole pot and I can't with my k-cups

BUY !! you will not be sorry +434,1351123200,B007Y59HVM,AILQNWAHVRY91,5,This Coffee is WONDERFUL!!!!!!,"I was a little skeptical about the lack of plastic cup around the base of the ""K-Cup"". It fits perfectly in the Keurig brewer and makes the FRESHEST!!!! K-Cup Coffee I have ever had! The individual packs are sealed nicely and upon opening make you entire house smell like a coffee shop! I have put these on auto delivery now!!! yay! Thanks Amazon for offering such great products!!!!!!!" +435,1351123200,B007RTR9DS,A1WXFL6IXQKAM5,4,Does what it says it will.,"The Clear Scalp & Hair Beauty Therapy Ultra Shea Intense Scalp Nourishing Balm does exactly what it says it'll do; it moisturizes and protects hair, it has a pleasant scent, and the scalp feels better after it's been used.

The only thing to warn you about is that this product does not seem made for my particular type of hair; instead, I think if you have much coarser hair than I do, this product would be much better for you than it was for me. Mostly, I believed this helped me some, but I think it would help someone with very coarse hair far more.

But it works, and it does what it says it will, which is why it deserves a four-star rating.

Barb Caffrey" +436,1351209600,B0012C2GFM,A2T28XGN21AZ0A,2,Super healthy but tastes like ass,"I have no idea what these people are thinking saying this stuff tastes great. They must work for Nutiva or have a friend who does.
This stuff is super healthy, I'm sure - but tastes friggin' awful. It's like cardboard pulp. I make smoothies with it which my mom said look like diarrhea.

I'm stuck with this huge 3 lb bag - which, in its defense - is a fantastic bargain. But I got it in 2010 and I'm still trying to choke it down two years later. Spend the extra money and get yourself some Vega. It's certainly pricier, but you get what you pay for." +437,1351209600,B004LLGBQG,A4IL0CLL27Q33,1,Buyer beware,Nespresso makes GREAT coffee and GREAT machines. The Nespresso capsule offers posted here are from a third party who is putting a large additional margin on their price.

You can order the same products online from Nespresso for approx $0.55 each (half the price here). +438,1351209600,B0001M10TW,A3DUXBNB660QGM,5,This product is great however the price of $9.32 must be a misprint. It is available for around $3.50 on other websites.,"This product is very good on all meat products, vegetables and soups. It has just the right amount of pepper.

I would not pay $9.32 for it when it is available on other websites for under $4.00!!!
[...]" +439,1351209600,B0048KH218,A2JAEJJA6TJHLY,4,Busted,"The bag came broken. Product was leaking out of the box, due to poor packing standards.
Hope next items arrive unscathed. Quinoa tasted good." +440,1351209600,B001G0MG46,A2SM0RC2BDLFU4,4,Delicious!,"This was a gift for my brother, and he finished it within 10 days of its receipt. Need I say more!" +441,1351209600,B001EQ4OY2,A19N1RDH99TTJZ,5,Can't live without it!,"I'm french so I literally grew up with this salt, I don't even know how to cook without it. What a nice surprise when I found out I can easily order it here on Amazon in the US!
Basically this is 2/3 real sea salt and 1/3 herb salt (like celery salt and such) so you can cut on salt without even thinking about it.
The taste? So much better than dumb salt, it adds a wonderful but subtle herb/vegetables flavor (kinda like a bouquet garni?).
Everybody loves it, husband, friends, grandma and brother in law, everybody.
Best way to enjoy it? Fresh bread, butter, sprinkle the salt on the top of the ""tartine"" and eat with fresh radish! Yum!

My mother always insist on sending me some from France ""But Mom I can just order it from Amazon here!"".
It's hard to believe that 50 years ago, this was just a local product and now it's sold on Amazon in the US. But it totally deserves it! Thank you Alfred Vogel for offering us healthy AND yummy products since 1963! Way before organic products were trendy.
This is a true 6 stars product." +442,1351209600,B002K9BG16,A30A7W9CZ77GFY,4,Butler's chocolate is the real deal direct from Ireland,"Nifty hot chocolate discs added to your warm milk or milk alternative is simply yum! Made in Ireland so you know the chocolate is high quality.

Ingredients for those that desire it (I think it should be a requirement on any listing):
Milk chocolate 29% (sugar, whole milk powder, cocoa butter, cocoa mass, emulsifier:soya lecithin, flavouring: natural
vanilla), Cocoa mass 25%, Invert sugar syrup, Sugar syrup, sugar, water, preservtive:sorbic acid), Sweetened condensed
milk (milk, sugar). Milk chocolate contains 32% cocoa, solids minimum, 20% milk solids minimum.

Shelf life is about 18 months." +443,1351209600,B00438XVGU,A2GW6JUVTALDPV,1,I did not receive my order,"I placed my order through Amazon and after about 10 days inquired about my order because it had not shipped. I received an email back from Starbucks that my order had been canceled. No explanation at all, just that it had been canceled. I checked back on Amazon and see that this item is still available but they had raised the price.

So instead of honoring the price they just blew me off like the sale never happened. Shame on Amazon for allowing a seller to do this.

Bottom line, Amazon has gone down a few points in my eyes. Greedy Starbucks can keep their coffee." +444,1351209600,B00171APVA,A21BT40VZCCYT4,5,Healthy Dog Food,This is a very healthy dog food. Good for their digestion. Also good for small puppies. My dog eats her required amount at every feeding. +445,1351209600,B0029ZAOW8,A2E2F8WSUB33VE,5,Excelent,"Good price, flavor, fast delivery And good presentation overall. Very eficient when playing golf, it really gives extra Energy and it helps to achieve a better game" +446,1351209600,B005ZBZM52,A1BSGNCHEI1PJI,5,Very Nice Medium Roast,"This coffee has the best aroma! Great medium taste. I have replaced our Starbucks Pike's Peak Roast because my husband and I like the taste better. I store it in a sealed container, don't mind that I can't store it in my drawer with the other k-cups. The overall morning experience is pleasant!" +447,1351209600,B000JL9EOS,A399ZRBKJS8YKT,5,Great on everything!,"We purchased this seasoning in Kauai, and use it on everything - beef, chicken, fish, it is absolutely our favorite! It is expensive but very worth the extra cost." +448,1351209600,B000IHJEDE,A2DFSA2JXQKVY3,4,Not bad.,"These are small and very salty. The taste is good, but very strong, so it's a good thing the package contains a small amount. It only takes a few little crisps to cure my salty/crunchy craving. I can snack on one package for an entire day. Of course these would not be a good snack if you're very hungry, because there isn't enough there to fill you up. For less than $1 per pack it's an okay deal." +449,1351209600,B0049D7HRS,A3LR9HCV3D96I3,5,Delicious,Individually packaged assorted rice crackers are really good. I could without all the packaging. Really great price for a high quality mix of rice crackers with some wasabi peas included. I mixed with salted peanuts for a delicious snack. +450,1351209600,B0042WXFJU,A3KUC5K5VSJNU9,5,"It's FANTASTIC! Mixes with Many kinds of Soups, etc. Yes.","I just love it, and I am Not a major Indian cooking fan--just enough. Really, it mixes with anything you are doing like Steamed Brown Rice Bowl, Organic, Microwaveable, 7.4-Ounce Bowls (Pack of 12) (I use these for convenience, and then I don't eat the whole pot of rice). In many kinds of soups, etc. Beef it up with some Amore Tomato Paste, 4.5-Ounce Tubes (Pack of 12), which is so, so convenient. Sweeten to taste if you prefer. Here's the best artificial sweetener on Amazon NuNaturals Nustevia Alcohol Free Stevia Glass Bottle Liquid, 2-Ounce. (Stop using Splenda which contains three Chlorine moities. It's essentially bleach, folks.) Enjoy, lentils are so healthy, and this way they really have flavor!
FYI: This costs $3-5/PER PACK at our local stores when you can find it. It is Not overpriced, as someone here said." +451,1351209600,B000CQC0B4,A26DOVGY14V7NX,5,breakfast tea,We switch to this decaf tea at night for a great cup of tea and no sleep problems. Thanks for a good cup of tea. +452,1351209600,B0034WSXIC,A2EOLZ2F8PG87D,5,Awsome Figs,I am an big lover of fig jam and this fig jam has a very unique flavor. Kind of a mix between the light kadoda figs and the dark mission figs. Must try it! +453,1351209600,B006N3IE6A,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +454,1351209600,B002Y3CSD8,ATL8TGSAEMDV1,5,I would buy it again,"I decided to try this sauce recently and overall I thought it was delicious. I've had Pad Thai at many different restaurants around Chicago and Boston, and my version of Pad Thai using this sauce felt less ""greasy"" as my wife put it. Another reviewer commented that the flavor was not ""authentic""; whether this is true or not, it was still good. In the future I may try a different sauce just to compare, but I would have no problems buying this sauce again." +455,1351209600,B0029NU2E0,A1HKHIP6VCMALP,3,Our dogs love it but finding low price and 12 oz cans is tough,"When Amazon LLC was selling large cans it was affordable via super saving shipping. You expect a price reduction when buying large size cans. One quarter of these cans was only partially filled with chunks, having an inch of fluid before touching the meat product. I shake each of these large cans before opening one. We prefer the smaller cans of this product, but local chains do not carry it in either size, and Amazon only offers it in large. Our dogs love the pedigree brand pouches and cans, especially the beef and liver. Although, they use corn product (one reviewer noted) and my veterinarian espouses ""...it's mostly water,"" our dogs vote is positive. We treat our pets and give this to them because they like it...not for their health.

After finding the substantial price increase this morning, I found the small cans at PetCo. Perhaps, Amazon will get a small can supplier for the ""beef and liver"" chunks in the future." +456,1351209600,B0054ES1MG,A25QCYSED869Q3,5,If you like mint candy......,"This is the best hard mint candy in the world. Expensive, though. I can't find it in stores. Anyone know where I can get it off-line?" +457,1351209600,B001BOE3UW,A18J98YVUMMDOA,5,You can taste the ginger.,"I love these ginger candy, tastes like ginger nothing added but natural ingredients. I got them because the were gluten free. My daughter took them to school for her teachers with colds, I handed them out to my neighbours. I will be getting more." +458,1351209600,B004FD13RW,A1BPLP0BKERV,5,It is awesome.,"My partner is very happy with the tea, and is feeling much better since starting to drink it.
She has been drinking it both hot (normal) and iced (chilled) and likes the refreshing nature of it." +459,1351209600,B000LKTXMU,A2J3PR6J36UTVH,5,Michael Seasons Unsalted Potato Chips,"These are the best chips ever! They are unsalted and being on a low sodium diet critical in allowing my husband and I to eat chips. They are all natural and low fat which is a great extra bonus. Additionally they have the BEST flavor...you really taste the potato flavor and not the salt! I would choose these chips over ANY chip on the market today, salted or not!! These chips as well as ANY unsalted chips are very hard to find in the stores so THANK YOU Amazon for selling them." +460,1351209600,B000RZNY5G,A2ZGTXBI8C7FYI,5,YUMMY,"Very good, still have a little left. I like the salty taste (that's why I buy them) Not too salty nuts are open and easy to pop out" +461,1351209600,B007PA30TG,A29BJSTYH9W3JI,5,super coffee,Great coffee and so easy to brew. This coffee has great aroma and is good to the last drop. I actually like all the brands. This is the way coffee should taste!! +462,1351209600,B000RNENU8,A1BCHCP9C7ZE8B,5,Works like a charm and easy to use,"We have a lot of container plants, including a fig tree, tomatoes, roses, etc., and they need regular fertilizing. Mixing granular fertilizer into a bucket is messy, so I switched to liquid Miracle-Gro and have been very happy with it. People remark on how healthy and productive our rooftop garden is. For use of use and results this is well worth the cost." +463,1351209600,B0083COD6O,A1DOLU6HS6R05M,5,Great flavor!,"I purchased this in a local health foods store, and loved it right away. I've tried other almond milks, and always found them to have a gritty or grainy aftertaste. Not so with this drink. It's very smooth. I could have this in cereal or my fave chai latte's or straight out of the box. Love it!" +464,1351209600,B005HI55CS,A36ERNIM0TKG3T,5,Hidden Springs Maple syrup,"This is one of the very finest maple syrups I have ordered and enjoyed. I bought the Fancy Grade, for the light amber color. It has a very great taste. I will reorder." +465,1351209600,B0033HPPIO,A2U3RRCA2URS56,5,Delish!!,So yummy... Drinking it Black coffee or w cream this coffee is delish .... One of my favs... I would recommend this coffee to everyone :) +466,1351209600,B008FXKOKK,A3RKYD8IUC5S0N,5,Tasty and works!,"First off, my cat HATES regular Greenies (the big crunchy ones) and won't even try to lick them. Any flavor. But my big fluffy Himalayan was hacking up stinky furballs in unreachable places, so when I saw these at the pet store I bought them on a whim.

She loves them! I don't think she even chews the things, she inhales them so fast. Tuna treats are ok but chicken were more popular around here. She likes these better than the Temptations treats she had before, and I am convinced that these are somewhat healthier.

The pouch recommends 12 treats a day, all at once, or even more for my big-boned cat. I usually do more like 5-6, because that many treats seems excessive (she would love it though). Either way, she hasn't had any hairballs since. I am not positive about the causal relationship, but I suspect these did the trick. They're great!" +467,1351209600,B002QZ2AZ0,A18PSXOI64YFZC,3,its delicious...,I was surprised at how delicious these toasted chips are. They ship well with little damage. I have ordered them several times. Also they are very fresh. Not one bit was left in the bag when I got through. +468,1351209600,B002ULC2V2,A4VW6XVS48EMF,5,Seeds!,"I love sunflower seeds and I have found that Planters has the best tasting, fresh and delicious ones out there! they are hard to find so i am glad I found them on Amazon, I recommend to all to give these a try!!!" +469,1351209600,B007PA32OE,A3UOYYQS5Z47MS,5,Morning Coffee,Great coffee at a good price. I'm a subscription buyer and I buy this month after month. What more can I say? +470,1351209600,B0042WXFJU,A1ESX96TOYF8X5,5,Really tasty,I never thought I'd buy this type of item but tried it at C****o when they had one of their numerous taste tests. Both my 8 year old and I liked it. So good for you and reasonably priced there especially with an instant coupon! Comes in a 4 pack box for under $10. +471,1351209600,B000KOT5O8,A2KD4B8AZMAWJU,5,Fantastic Flavor! Great for Tuna Steaks!!,Why would someone pay almost $15 for this product (although the taste is worth it)when you can get it for less. Check your prices before paying too much. +472,1351209600,B007KPFSJ6,A506HOOCVL8GW,5,BEST cup of coffee I've ever had!,"I thought I'd splurge and try this coffee. It costs much more than other decaf K-Cup options. But I hoped that meant it was better coffee. It IS better coffee. I've never had a better cup of coffee than this. It is excellent when compared to any other decaf or regular coffee I've tried.

If you like BOLD, FLAVORFUL decaf coffee try this coffee and you'll really like it." +473,1351209600,B002J771J0,A1TED4G0PWZPQV,1,Was rotten,"Culd not eat it, but the other flavor I ordered was fine, not sure why it was not ok, when the other one was" +474,1351209600,B00196P9PA,A3D9688QO6PLGD,1,Disappointed,The metal cover has severely disformed. And most of the cookies inside have been crushed into small pieces. Shopping experience is awful. I'll never buy it online again. +475,1351209600,B0045TI2HU,A62DE4ONLWSD,5,Sugar-Free Brownies - Diabetes related issue,"Extremely satisfied... got precisely what I ordered and wanted. I appreciate that we are permitted to modify the order while still keeping it in force. Next time the option appears, I will either spread it out to more than three months or reduce the number. Six boxes in three months maybe a bit more than I need as I am told to cut back/eliminate. But these are a great way to get my chocolate fix. Only the CHOC FUDGE is carried by our stores, but the MILK CHOC is what I prefer.

On a similar note, why do stores limit their sugar free inventory? Because they do is why I had to come online to purchase this product. I had made requests at our local stores to carry this product, but it was not accommodated." +476,1351209600,B0001M0ZWA,AUEA2NJHMK9DF,4,Like this tea,This tea has a nice flavor although I wish it was a little stronger. I have brewed way it states and even tried letting it sit longer to get a stronger cup but it didn't work. Am pleased with purchase and flavor overall. +477,1351209600,B005F0JM7W,A3U9177XF7ZF3P,5,"Works great, simple install.",I bought two of these. Easy to install and works great. The only problem is now my wife is buying more K-cups. +478,1351209600,B0001TNCK0,A1GCFTFXELCHRP,4,Still unsure about its benefits.,"ACV is supposed to help maintain the immune system, help lose weight, along with many other claims. I know that drinking a tablespoon of ACV, diluted with a glass of water, once per day, has helped me; but I haven't seen the benefits of the pill yet. Only been taking it for 2 weeks though, but it's certainly much more manageable than drinking directly. PS: Still smells awful though." +479,1351209600,B0005YW0TU,A22SW4MALCSDWV,1,Inedible,"I am one of the least picky eaters that I know, but I had to throw my bowl out after a few spoons of this. It was disgusting and inedible. I wonder if anyone at these big companies try their products before marketing them. The flavor was heavily artificial with strong off-notes of bitterness and tree bark. Dont believe me? Go ahead and try it." +480,1351209600,B008JKTTUA,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +481,1351209600,B001PICX42,A13W6WYHKSKAT,5,Favorite fruits snacks!,"I try to buy only organic when it comes to my kids and my son is obsessed with fruit snacks. I discovered these a couple yrs ago and fell in love right away. Not only does my son love them, but I do too! Plus, I love how soft they are! I don't worry about my younger son, who is 1.5, choking on them because they are very easy to chew. I also love how they sell them in only berry flavors because I have never been fond of citrus flavored candy and I like to eat these just as much as my kids. lol" +482,1351209600,B003TNANSO,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +483,1351209600,B001P05K8Q,A3L0B5NBTQ7ZHO,4,Great results but they stink,"We originally purchased these chews from our veterinarian. Decided to order them here from Amazon because of the reduced cost and lack of shipping temperature restrictions on the product. We get complimented on the whiteness of our dogs' ""smiles"" all the time. Our vet is happy and so am I because I don't have to brush their teeth a lot! You definitely want to wash your hands after handling the chews because they have a peculiar odor. Now if someone can figure out how to ship heart worm prevention without it getting too hot, I'd be ecstatic!" +484,1351209600,B0029ZAOW8,AYTSBGA5A3UWI,5,A God Sent Remedy!!!,I love this stuff! It's a God sent Remedy for hangovers!.... I understand the health concerns many people have and I can also see that this can be habit forming. I make sure I only take one every so often and not everyday. +485,1351209600,B002RBRY0Y,A11LYF3HM1QQK7,3,very delicious,"This is my very favorite of the truffles. It is a medium dark and very delicious. If I have one, it screams at me to have just one more! As long as they are made, I will be first in line to purchase." +486,1351209600,B003VXHGPK,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +487,1351209600,B0084MBGNQ,A3F526Y77Y64KT,5,Great Outdoor Dog Treat,I have two Weims that have a strong need to chew. These bones serve that need very well. Be sure to keep the bones in an area where you don't have to worry about stains as they are greasy. +488,1351209600,B000QSON4K,A2I606SLG4SWHF,5,Perfect for Giving Medications to Our Dogs,"Every month, we give our three dogs (two Aussies and a Golden/Flat-Coat Retriever mix) pills for flea/tick/worm repellant. In addition, one of our Aussies needs daily thyroid pills. We found Pill Pockets is the very best way to do this. Opening the mouth wide and trying to put the pill waaay in the back of the mouth before clamping the jaws shut and massaging the throat until the poor dog swallows is a bad thing to do to a beloved pet. It's bad because Pill Pockets make this chore a happy and delicious time for the dog involved. The Pockets (in the pet store we use) come in chicken or beef flavors, so we alternate flavors every time we buy a new supply. Everybody is happy, and the dogs get the required meds." +489,1351209600,B0046IIPMW,A27IEA7DADM64W,5,Great for a Paleo diet,I've been eating a strict Paleo eating diet for nearly one year and including Ghee has been a huge taste benefit. Ghee has virtually no lactose and is healthier than regular butter. I brush this on my chicken breasts and then bake them with a a bit of crushed black pepper and sunflower seeds. The flavor really comes out with so few ingredients. This brand and another one are two of my favorite and they are usually listed with Prime available. +490,1351209600,B007O17V2I,A1571CSWXSP125,5,Oat Bran,This oat bran was great as a cereal & pancakes. Just adjust your recipes to your diet & add the oat bran. Great! +491,1351209600,B003VN97GQ,A20DC4NK8YMOQT,5,One of the Best Dressings Around,"As stated above, a great salad dressing at a great price, especially when you purchase the cruet as an accessory included in the package. When ever I serve this to guests, most are not aware that this is a packaged dressing (I doctor it up a bit), until I tell them.
A good inexpensive gift for your favorite cook." +492,1351209600,B006392MMG,A36ERNIM0TKG3T,5,Hidden Springs Maple syrup,"This is one of the very finest maple syrups I have ordered and enjoyed. I bought the Fancy Grade, for the light amber color. It has a very great taste. I will reorder." +493,1351209600,B000NM1BHQ,A2JDXKFZ0PFHKU,2,Received broken,I bought these to use as decorative center pieces for a birthday party. The packaging looked nice but when going through the candies to put in my decor I noticed that over half of them (43 to be exact) were broken and unusable. +494,1351209600,B0065AOUKK,A1KRZB2K7O6XC,5,Yummy!,Got this for my brother & nephew and they just love it!! Said it's better than regular hot chocolate. Allows whole family to use the Kuerig so not just for coffee. +495,1351209600,B0012VSXIM,A2TOUMUWSN7FJY,5,Good & Plenty Licorice Candy,If you like licorice you will love this candy. I can remember eating this candy from a box at the local movie theatre when I was a kid and it is still just as good. +496,1351209600,B000FACFIA,A1TTGEM50SIS2R,5,"Licorice Scottie Dogs, Red",I love the Gimbals Red Licorice Scottie dogs I purchased from Candy Crate. The price per pound was less than I paid from another source and the purchase qualified for free shipping. I'll be back...........for more when my supply is gone! +497,1351209600,B0019GZ7Z2,ANSBPV2CZVZ39,4,Great product,"This is a wonderful flour to use. low carbs, and full of nutrients. I dont use it though because it has a very strong sweet coconuty flavor and I am not a coconut kind of person. If I DO add it, it is a minute amount. But defintiely number one flour to buy and use..even for baking for your doggie cookies. I only gave it 4 stars cause of the taste." +498,1351209600,B0049K99RW,A1Y73Y4VX3AJMZ,4,Nice traditional chai,"I got hooked on this chai when I decided to give up coffee. It still has a little bit of caffeine, but much less than coffee does. It's nice and spicy (you really get the flavor of black pepper) and actually easy to prepare. Initially, I thought it was too complicated to boil water and then add milk separately, but it allows you to adjust to your own tastes. I usually add a little more milk than instructed to cut down on the spice and add a little more creaminess. The thing I really like about this chai mix is that it's not sweet at all. If you want sweet, you add your own sweetener - I usually use a spoonful of white sugar or honey. After drinking this stuff, I tried some pre-sweetended mix, and there was no comparison. This stuff tastes ""real"" and without chemicals or preservatives." +499,1351209600,B0024NUM7W,A1SFA2BYES0OH,3,"eh,,ok, but...","I love popcorn, and this product is good except for the fact that it does not and will not give you the taste that you are looking for that you get from movie theaters. Even with the matching seasoning salt, it doesn't do the justice. But its ok,just not buttery at all." +500,1351209600,B000OH97Y4,A25QGGBI6NGHNY,3,Trying a different food,"Because our Rottweiler has some skin issues, we are trying the ProPlan Selects Natural Salmon and Brown Rice food. We are beginning our 3rd bag via subscribe and save. So far, our dog likes it and we haven't had enough time to know if its doing better than the Blue Buffalo we used before. I am thinking of adding Salmon oil.

The only negative we have is the kibble is small. My dog sometimes gets choked on the little kibble, so I am going to try and stick with this form, but find a larger kibble. Overall, this is a great food." +501,1351209600,B0006345OI,A21YJCM7MR97BS,5,fine for 13 y.o. doggy,"My Am Staff is about 13 years old and is a very ""food-driven"" dog. He seems to like this version of Eukanuba just fine, although he is not a picky eater at all! The kibble seems to be a good size for him; some brands of ""large dog"" food are twice as big, which might be hard for older guys like mine!

The price of these 30 lbs bags has gone up from the $40 range to the $50 range, but I know it is better for my dog than the Pedigree that is readily available at Smart & Final, so I stick with this Eukanuba.

Plus, you all know the benefits of feeding your dog higher-quality dry food when you go out for a ""walk,"" right? ;-)" +502,1351209600,B005H7WARC,A2L3AP3898XNDI,5,Great stuff,A co-worker recommended that I try Coconut Oil to make my hair softer and less dry. After a little resource of my own I purchased some. It was the miracle hair product I needed. It has been 2 months and my hair has grown soo much. Its healthier and softer than it has ever been. +503,1351209600,B00317HLQA,A3AOK34N9VZ7HY,5,special k fruit krisps. Blueberry are great,"Special K Fruit Crisps, Blueberry, 10-Count Bars (Pack of 6)Purchased these for a drive in the morning breakfast food with coffee. Love them. They taste like mini-poptarts for adults. Great try them. Only 100 calories." +504,1351209600,B000H7LVKY,A3GZ140SEBF9GI,5,Yum,"This is my third box of the cherries. I love putting a handful on my cereal in the morning. They are very sweet and just a bit tart. They are also great in salads and make a awesome muffin.

I will say that there seems to be some seasonal variation. One of the three boxes I received wasn't quite as tart/sweet as the other two. They were still very good but not ""as"" good." +505,1351209600,B004CQYODW,AM2ADIDTH4SI4,5,Bing,I love that I can still get this product in California even though it is not sold in any stores! Everyone who sees it is jealous that they don't have one! +506,1351209600,B000CPZSC8,ABEPJJLWMXXTD,5,"Plump, juicy vanilla beans","These are plump, juicy vanilla beans! Perfect for ice cream making and making vanilla extract. Very satisfied and will not buy expensive vanilla beans at the grocery store ever again." +507,1351209600,B0015A2W32,A1SEHFQQ30AR0E,5,Perfect,"I was a little worried when I saw the reviews about them arriving melty but there were enough good reviews that I took a shot. They arrived perfectly and within 24 hours of ordering them using two days shipping. If you really want Andes Mints, and like me, you can't find them at any of the local stores around you, then take a shot. As for the product itself, if you're searching for andes mints on Amazon, you are probably already aware of how great they are. Definitely five stars for me for both the products and the shipping." +508,1351209600,B004CYLW7A,A2CMS7BYL8BKP1,1,Yuk! And who goes to Amazon to buy cereal?????,"This stuff tasted like (insert favorite negative adjective that Amazon won't print). I like most cereals but I couldn't put this stuff down, tasted like cardboard something with a half stale texture. Hate to throw 3/4 box of cereal away, we'll see if the birds will eat it - I have my doubts." +509,1351209600,B001EQ5KTK,A3GS4GWPIBV0NT,5,Love this tea,This is a favorite of mine for using over ice. Even bought it to give out as Christmas gifts last year. +510,1351209600,B0042WXFJU,A1X1592EDWIJU4,4,"Tasty, but....","I don't know how they can label these as lentils. ""Lentils"" is the third ingredient listed. The first two are water, and tomatoes. Having said that, it's a nicely seasoned tomato soup with some lentils in it. Just not what I thought I was buying." +511,1351209600,B003VXL0V6,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +512,1351209600,B007689U8W,A3FW29GQ2BNLHI,5,Outstanding!,Fantastic flavor! The dark chocolate is creamy and rich but not bitter or overpowering like some dark chocolates can be. Perfectly balanced raspberry/chocolate flavor. +513,1351209600,B005ZBZLT4,A308RR8J9NJOOZ,5,One of the best!,"I am recently new to the Keurig world. I've tried a handful of flavors since I've gotten my machine, and have been just ok with most of the flavors tried. Fog Chaser has restored my faith in my investment! Try this! Coffee shop taste and at a better price than Keurig K Cups!" +514,1351209600,B004ZY4TK4,A4IL0CLL27Q33,1,Buyer beware,"Nespresso makes GREAT coffee and GREAT machines. I switched over to a Nespresso machine 7 years ago and have never looked back. I save a small fortune every year by making my lattes at home.

That being said, the Nespresso capsule offers posted here are from a third party who is putting a large additional margin on their price.

You can order the same products online from Nespresso for approx $0.55 each (half the price here)." +515,1351209600,B005ZBZLT4,AAMUNRK134Y5P,4,"Product is good, but....","I like the product and the price point, but for me, the flavor was very strong and overpowering. Perhaps I should have figured this out from the "fog chaser" name?" +516,1351209600,B004UGNT6M,A3KVJQZM7GNBEK,4,a little too powerful!,"maybe it's because i'm a vegetarian who eats really healthy (as in not a junk food vegetarian--basically, i get a TON of fiber in my day to day food already) but my gastrointestinal tract just can't handle these fiber one brownies! they're so delicious and low calorie that i want to eat them all day long, but if i eat one, i'm strapped to the toilet all night long." +517,1351209600,B0002DGRZC,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +518,1351209600,B0061IUIDY,A36MS27KAA5S26,4,"Nice tea, not as strong as the stuff from the U.K.","I love all sorts of teas. My friends know this, so when they travel they often bring me teas from overseas to try. Years ago, a friend gave me some English Breakfast Tea from her trip to Britain. What a full-bodied tea that was! When I had the opportunity to try this I jumped at it, assuming it would be identical. Although close, this is not quite as strong as the tea my friend bought in London.

I do like the blend of Ceylon and Assam. It has that nice zing that cuts through a hearty breakfast, like the traditional English fry-up, but still tastes delicious with milk and sugar or honey. Be careful not to oversteep, though, or it can get quite bitter." +519,1351209600,B0002DGRZC,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +520,1351209600,B007JTKEQK,A1DOMJI7GXGPNY,5,Ain't no coconut water better than Sun Tropics Coconut water,This is like young coconut in a can! It tastes like a young coconut freshly picked. Has the electrolyte of Gatorade without all the unnatural sugar and sodium! How can you beat that? +521,1351209600,B003WEFSAI,A37O0JPLJ8BOXP,5,Drink mix,We love this drink mix it taste delicious and impossible yo find at the market in town. Everyone else loves it too! To solve the Delia now we just order a case! +522,1351209600,B006PWRY9C,A3ETT8JLXQBJZR,5,This is a Wonderful Wine,"I really enjoy this wine! I was a little skeptical about it at first because it is so inexpensive, but I tried it at a wine tasting and I got hooked! It has a wonderful favor and it actually has a taste of red velvet. This is a great wine for any occasion, but especially for the holidays. And even though it has the taste of red velvet, its not a sweet wine like a port. I've also seen this wine available at BevMo, Costco, Bed Bath & Beyond and World Market. Cheers!" +523,1351209600,B003ZFUYPI,ARCGKF8PS7JBI,5,ultrax3,"Pleased with product. Cornstarch and Wondra for thickening left lots of lumps in gravy which took alot of time to blend out with my emulsion blender. Ultratex as thickening agent made for a nice silky gravy. Whatever you are trying to thicken, best result was when liquid was cooled off or cold." +524,1351209600,B005WBETRC,A15LVXQI2YXB4Z,5,You Can't Get These in The Stores Around Here.,"My receptionist wanted some of these but I could not find any around here so I ordered them. They are what they are and she was thrilled that I took the time to do that for her.

Take care of your people and they will take care of you.

Meanwhile, the US economy slowly collapses, dragging the rest of the world with it.

Next year, Pop-Tarts will be $1760.00 for one package of two. But the government never promised us free Pop-Tarts...only free cell phones.

I still haven't gotten my free cell phone but I got a great cell phone real cheap right here on Amazon.

Amazon keeps its promises...the federal government does not. We see who should be running the country. Write in Amazon.com when you vote for president this year." +525,1351209600,B0002DGRQ6,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +526,1351209600,B000ET4SM8,A1F0TERGQZ746P,5,Homemade Vanilla Extract,"I have always bought my pure vanilla extract in Mexico, but got a tip from one of my clients that it was crazy not to make my own. I bought two bags of vanilla beans, slit them down the middle, scraped out the ""caviar,"" cut the beans into fourths, crammed them down into the bottom of a dark wine bottle, followed by the ""caviar"" and followed it up by pouring a really nice vodka - in my case, Finlandia, which I got in the duty-free store on my last cruise on Holland America Line - and corked the bottle and shook it every day for a week. The instructions are to now shake it once a week for the next six months. I am now at the end of the second week and the fragrance of the vanilla is absolutely intoxicating. You can't help but open it up every once in a while. It is getting darler and darker by the day and supposedly, making your own big bottle of vanilla extract will last ten years. What a great tip my client gave me and I'm forever grateful to her AND to J. R. Mushrooms for providing such heavenly vanilla beans. It'll be hard not to Dan some behind my ears'" +527,1351209600,B0002DGRQ6,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +528,1351209600,B009NIF7BM,AG4JL2SKX22W5,5,AMAZING FIND!!!,"I am a stay at home mom of two small kids and am always looking for good organic products to cook with for my family. I came across this one and was so thrilled! My son likes to eat foods with flavor and this oil enhanced the taste of my pasta dish while still being healthy. My son ate it all up! I can't wait to use it on more dishes! I would definitely recommend this product!! It is also excellent at the end of the day, once the kids are in bed, to use as a dipping sauce with some bread and your favorite glass of wine." +529,1351209600,B0007A0AQW,A1HHNY1GVD3UIS,5,my dogs love the peanut butter!,"First off, read the ingredients, no crazy words I can't pronounce, which means it's all natural! I got the peanut butter treats for my two children: husky/shepherd and a lab/shepherd mix, and they can't get enough of them. Plus, on Amazon, this is such a great value for 16oz. Beats petsmart for sure! I'll be looking for more Zuke's products now that I've discovered them. Thanks Zuke's!" +530,1351209600,B008O2EHNC,A11X0ENDTFGCEH,5,"Enjoyable, quick cups of coffee with no waste","My mother loves this coffee and the pods fit her coffee maker. It is hard to find pods that do work for it, so we have a standing order for this brand. She can have one or two cups, and go on her way. You just can't beat the ease!" +531,1351209600,B008JKTH2A,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +532,1351209600,B001P3PR5Y,A3QSIS4LFYP2LW,5,these do the job,"I bought the CET Veggiedent chews for one of my dogs who didn't do well with the regular CET chews. He would just swallow big chunks and that was potentially dangerous. He likes these just as much and spends more time actually chewing, which is great for his teeth and I don't have to worry about large pieces of rawhide becoming obstructions." +533,1351209600,B001BOLD0K,A25DQ9L3W2MKJZ,4,Great for Birthday Goody Bags,Kids loved the light up rings. I used them to fill up their goodie bags. Great effect at the dark skating ring. +534,1351209600,B0064KO16O,A1K2SU61D7G41X,5,very good!!,"just like the runts
great flavor, def worth getting
I even ordered again 2 wks latter (all gone)
just like I remember :)" +535,1351209600,B003U925C4,A2ALLORFJB7DYH,5,outstanding product,try it & we shared with the familys/all han thumbs up!!!!!!!!!!cut it with good lite olive oil /sherry or whatever you like/on meat/chicken & fish $ pork!! +536,1351209600,B0001ES9F8,A2HROKQO0GA5AF,3,Mistaken order...,"When an incorrect order of Senseo coffee pods arrived I opened a bag to try, thinking I would just go with it, and the coffee as labeled was fine...
I just have an addiction to hazelnut, and I will probably offer the one that came to guests and friends who prefer the unflavored
variety...I do appreciate the refund..." +537,1351209600,B004GU3YXU,A3H7JIO72M8MB,3,Pouch was ripped,"I love this product and order it frequently. Usually it arrives in a timely manner and in good condition. When I opened this last shipment I found some hemp seed scattered throughout the box. I carefully removed the first of two pouches and found a 1"" rip in the middle of the front of the bag. Most of the product was still in the pouch and appeared fresh and undamaged so I transferred it to a container. The other pouch was intact. I hope this is a one-time occurrence, and I will be ordering this again when I need more. More care needs to be taken to assure that the pouches are handled properly and that they are all in good condition when packed." +538,1351209600,B005K4Q37A,A3TXT588J6OR0Y,5,Love this stuff!!,I Have been ordering this k cup cappucino drink for awhile now and have never had a problem! Love it tastes good! +539,1351209600,B005HJH5K2,A36ERNIM0TKG3T,5,Hidden Springs Maple syrup,"This is one of the very finest maple syrups I have ordered and enjoyed. I bought the Fancy Grade, for the light amber color. It has a very great taste. I will reorder." +540,1351209600,B001BMDERC,A2737AE47DKEAN,5,Deee-licious...and NO heartburn!,"Regular semolina shells give me heartburn that have killed 2 horses, bless their hearts.

You won't have the spike in insulin, then drop, causing you to want to sleep for a few hours.

The shells come in a large plastic bag inside a non-descript box.

Freshness, thanks to putting them in baggies, was as good on the 1st day as on the last day, which, coincidentally, was 2.5 months later!

Whole Foods would charge at least twice this much, probably more.

No heartburn. Plenty of shells at my beckon call. Great price.

You're welcome." +541,1351209600,B008K9TOU0,A3AE4G41HPLMP,5,Newman's own Organics Decaf Cups,"newman's Own Organics Special Decaf hasGreat flavor,not bitter at all.Excellent! Would definitely order again.Wish price was a little less pricey." +542,1351209600,B005CJUAN6,A3ETT8JLXQBJZR,5,Tobin James is Excellent!,"Tobin James is an excellent wine, and this one especially! My husband and I have enjoyed a few Tobin James merlots. It's difficult to find such good wine at such a reasonable price. If you ever have a chance to go to the Tobin James tasting room in Paso Robles, I highly recommend it! Cheers!" +543,1351209600,B004TEVTJO,A1XG72H5E5YJR8,5,Awesome,They arrived before the expected time and were of fantastic quality. Would recommend to any one looking for a awesome treat +544,1351209600,B005YVU4A6,A2LU545SISQOJ8,4,Chike!,Just tried the orange and iced coffee this morning and really liked them both! I am going to place my order today! +545,1351209600,B0046H30M8,A2D1FQG906TV47,4,great soup,"Best soup mix I've tried. I love making soup, and this is the best tasting and easiest ever. Try the chicken and mushroom recipe variation on the package." +546,1351209600,B000EEDJGO,ANH6SKT74AFPL,2,Ain't what they used to be..,Big let down. I loved these as a kid- they aren't the same. Dry and sort of tasteless by comparison. Bummer. +547,1351209600,B005K4Q4LK,A3TXT588J6OR0Y,5,Love this stuff!!,I Have been ordering this k cup cappucino drink for awhile now and have never had a problem! Love it tastes good! +548,1351209600,B0029NVPLE,A3RKYD8IUC5S0N,2,Messy and apparently undelicious,"My cat is not a huge fan. Sure, she'll lap up the gravy, but leaves the little meat-like bits as dry as a bone. It feels like saving money, but not if your cat is only gonna eat cornstarch gravy and turn her nose up at the meat by-products. It's probably fine for a grocery-store food, but a better quality food will make your cat happier and maybe healthier. Also I can't imagine gravy has got the nutritional content my cat needs.

Pouches seem like a great idea compared to messy, annoying cans, until you can't figure out a way to get the stuff out of the package without getting gravy all over your hands.

I switched to Merrick cat foods and my cat is happier--she doesn't leave lots of uneaten bits." +549,1351209600,B002AQL00G,AEWJD0G85FPSG,5,Betty Crocker Gluten Free Chocolate chip cookie mix,The Betty Crocker Gluten Free chocolate chip cookie mixes are delicious and easy. When buying these particular mixes here in bulk of 6 boxes they came out to be so much cheaper than buying them in my stores in my area. So delicious sweet treat and cheaper price is a steal!!! The Chocolate cake mix and brownie mix are definately NOT cheaper to puchase this way here for some reason. +550,1351209600,B002GWH7O2,A3PNBZ60XRKZFP,4,pepperminty tea!,"This is very pepperminty, almost spearminty tea - you need very little for a good refreshing kick :) The bag is huge and the price can't be beat. However the leaves are crashed, they are not full tea leaves as advertised. There are also some white flakes here and there - stems or may be flowers? So 4 stars for that." +551,1351209600,B004VLV7NS,A1W6E1FN0745L7,5,Can't Go Wrong With Bob's Red Mill,"I was on a mission to reduce my cholesterol through healthy eating and improve the quality of my breakfast choices. I've tried several of Bob's Red Mill cereals and they are ALL absolutely fantastic! This cereal has a delicious flavor and creamy texture. I usually add some dried fruit and raw almonds to give it another flavor dimension. Even by itself it is superior to ""quick"" oats and other grocery store breakfast choices. On a side note I enjoy supporting the little guys and a simple Google search will show you what a good company Bob's Red Mill is. Kudos!" +552,1351209600,B001D0DMME,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +553,1351209600,B000UBH9YE,A1CM50V04TUUPF,5,Love My Senseo!,"I I haven't had a bad cup of coffee yet. So far, my favorites are the Decaf, Columbian, and Breakfast blend. I only drink one cup of coffee a day, so this type of coffee maker is perfect for me. Especially since I only like coffee when it's hot and fresh. My guests love it too!" +554,1351209600,B001EQ5IPQ,AA2104NO2VE8H,1,Extremely dissapointed,"Hi,
I am very disappointed with the past shipment I received of the ONE coconut water. 3 of the boxes were leaking and the coconut water was spoiled.

Thanks.

Laks" +555,1351209600,B000LKU3K6,A2YRK0YLBN5CC2,3,"Good flavor, but a wet mess","I got the teriyaki flavor and, while the flavor is good and the texture is also good once you get it into your mouth, it can be a mess getting it there. As other reviewers have noted, this is not like your typical dry jerky. It seems more like something that would be created by the company that makes SlimJims or something - it's moist and chewy. The individual packets don't tear easily, either, despite being notched at the end. You know how sometimes plastic can tear very cleanly, but sometimes it turns into a ragged edge and becomes a struggle? That's what happens with these 8 times out of 10. So if you're out and about (not near a sink) and you try to open it and the tear doesn't work perfectly, you potentially have liquid dripping out onto you, certainly on your fingers as you're trying to get the jerky out of the package and into your mouth. And the liquid dries sticky.

Anyway, as I said, the flavor is good and I've now eaten most of mine, but I have taken to opening the package with scissors and eating them only at home so I can wash my hands afterward." +556,1351209600,B000OIXE10,A2V1J3JT5OOZFO,5,Very Tasty and Better than others,I bought these and the Eden brand and find these taste better. So I recommend the Good Sense brand. These are moist and the Eden's are more dry. Both appear to have been made in the US but it is hard to really know. Great snacks. Both come in reclosable bags. Good Sense gets my vote. +557,1351209600,B000H0ZJIG,A1HHNY1GVD3UIS,5,my dogs love the peanut butter!,"First off, read the ingredients, no crazy words I can't pronounce, which means it's all natural! I got the peanut butter treats for my two children: husky/shepherd and a lab/shepherd mix, and they can't get enough of them. Plus, on Amazon, this is such a great value for 16oz. Beats petsmart for sure! I'll be looking for more Zuke's products now that I've discovered them. Thanks Zuke's!" +558,1351209600,B0006UFY46,AEEVDQNVIH4SJ,5,Great Salmon,"This Salmon Is The Best! I Try To Make A Small Variety Of Salmon Dishes, But For Me, Salmon Patties As Nice As My Mother Used To Make Is My Favorite!" +559,1351209600,B000F4F95M,A2ET4NNICR9T7R,2,Didn't like it,"Quite personally, I didn't like it. For me, it had no flavour at all. It only tasted better when I added some nutmeg (ran out of cinnamon) and milk. On the brightside, it did help me get rid of my cold :')" +560,1351209600,B0038B3AAK,ADDJMSYKBLBP8,5,Great Prioduct,"I make a green drink with this product plus yogurt, water, frozen mixed berries, wheat brain and flaxseed. I sip it thru out the day and it helps me to eat less. Very Convenient!" +561,1351209600,B0061IUIDY,A2L6QS8SVHT9RG,4,Good standard English breakfast - decent brand!,"This English Breakfast tea from Higgins & Burke, is good: it's basic, good tasting black tea (English Breakfast blend) and is tasty. I wasn't blown away by the flavor, but it was good: I enjoyed the tea, it brewed up quickly in these nice tea bags (I recommend about one minute of brew time), and then added a splash of cream: it was quite nice!" +562,1351209600,B000KEPBBY,A3GS4GWPIBV0NT,3,Ok but not what I thought,"This is basically split peas, lentils and small soup pasta. I guess I expected to find more dried vegetables, perhaps seasoning of some sort but this is a VERY simple base which you will build your soup from. I think a better names for this would be 'split pea soup base' or 'split pea and pasta'. With a more accurate name I would give it a higher rating because the quality was good but I felt a little misguided by the name and description proveded when I received my order." +563,1351209600,B0001HAEKI,A289SYWE4BHCF,5,Good stuff,"Very good product, helps with a lot of ailments. It's great help stocking up on vitimain that you are deficient in." +564,1351209600,B004H4P6VI,A1V7KJHE8SKJ4G,5,BEST GRAVY EVER,"Love this gravy mix for a quick meal. Worth the price. Really good over mashed potatoes. Although I like making my own gravy, this is the best replacement you can find for homemade." +565,1351209600,B004XGCWY4,AR00HXFDJAHG4,5,Awesome,I can't find this in the stores and thought I would like it. So I bought it and I can tell you that I love it. It tastes just the way you're imagining it tastes when you read the ingredients... delish! +566,1351209600,B0013JC18G,A1P95EBZKAVYCB,3,Small for the price,"Tastes ok, but what you get for the price, it is a bit disappointing. By the time you pay for shipping, you are a loser. Too bad my hubby LOVES peach flavoring." +567,1351209600,B002UQ17Z4,A1F0634GVMIIHA,5,Delicious rooibos chai,"This stuff is great for my non-black tea drinking friend.
Very nice balance of a spicy blend. Perfect or the cooler weather, autumn, winter, early Spring. Fireside name changed to Firelight but both images are perfect for imagining sitting by a fire sipping this, or just warming your hands around the cup. The bagged version must be ground; this version has whole cloves and kind of prickly pieces of spicy leaves, but is fine to steep as is. Really worth the cost." +568,1351209600,B0029NVP82,A3RKYD8IUC5S0N,2,Messy and apparently undelicious,"My cat is not a huge fan. Sure, she'll lap up the gravy, but leaves the little meat-like bits as dry as a bone. It feels like saving money, but not if your cat is only gonna eat cornstarch gravy and turn her nose up at the meat by-products. It's probably fine for a grocery-store food, but a better quality food will make your cat happier and maybe healthier. Also I can't imagine gravy has got the nutritional content my cat needs.

Pouches seem like a great idea compared to messy, annoying cans, until you can't figure out a way to get the stuff out of the package without getting gravy all over your hands.

I switched to Merrick cat foods and my cat is happier--she doesn't leave lots of uneaten bits." +569,1351209600,B001D0DMMY,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +570,1351209600,B005LURGKG,A1KD8NJPZ01R37,5,If you like Popsicles..,"They slush. All others turn into a frozen stick. A tasty piece of ice. Well, I don't like crunching ice, but I do like these because they freeze in a way that makes them not rock hard.

Probably a chemical that prevents the ice-cube effect, that is no good for me, but I don't care, they are just too tasty and they can be eaten without using your teeth.

So good." +571,1351209600,B006N3IG4K,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +572,1351209600,B005UGSR72,A382RNG86OC7N0,5,Tully's Coffee,Tully's coffee is the smoothest coffee on the market. The Kona blend is our favorite. The price is well worth the enjoyment we have with every delicious cup! +573,1351209600,B003JA5KKS,A29BJSTYH9W3JI,5,super coffee,Great coffee and so easy to brew. This coffee has great aroma and is good to the last drop. I actually like all the brands. This is the way coffee should taste!! +574,1351209600,B005FQH3B8,A3RKYD8IUC5S0N,2,Messy and apparently undelicious,"My cat is not a huge fan. Sure, she'll lap up the gravy, but leaves the little meat-like bits as dry as a bone. It feels like saving money, but not if your cat is only gonna eat cornstarch gravy and turn her nose up at the meat by-products. It's probably fine for a grocery-store food, but a better quality food will make your cat happier and maybe healthier. Also I can't imagine gravy has got the nutritional content my cat needs.

Pouches seem like a great idea compared to messy, annoying cans, until you can't figure out a way to get the stuff out of the package without getting gravy all over your hands.

I switched to Merrick cat foods and my cat is happier--she doesn't leave lots of uneaten bits." +575,1351209600,B0058AMY10,A32NC2UF34RJQY,5,Great for HS lunch,"Great for HS lunch, kid enjoy as a snack also, will buy again. Salted chips are good too, tried them too." +576,1351209600,B004ITWDKO,A3934PPUIWRZVX,4,"Much, much too expensive!!","I ordered these for my silky terrier and he absolutely loves them. However, I see the price has gone up again since I placed my order just last month. I think the seller may be taking advantage of the Chinese made jerky treat scare. These are just much, much too expensive. I would not purchase again. A really small bag for a really big price." +577,1351209600,B0012XBD7I,A32NC2UF34RJQY,5,Great for HS lunch,"Great for HS lunch, kid enjoy as a snack also, will buy again. Salted chips are good too, tried them too." +578,1351209600,B0032CJY6E,AMUFDD2T1UU3W,5,Great service for hard to find product,"I purchased this along with Applemon and am VERY happy with how promptly it arrived and am THRILLED that I can now just order this right here on Amazon instead of driving myself crazy looking for it in stores that don't carry it anymore. The price is great, too. Funky Monkey has had me hooked for years. What makes it different from other freeze-dried fruits out there is that it is actually full of flavor." +579,1351209600,B005EF0HZ4,A1JXSMYVHFPWM1,2,Disappointed,"I have not been able to find the Maple flavor cookies in my area anywhere so I was happy Amazon had them available for order. Amazon:Always my friend!
However,the cookies had a nutty flavor I guess but just Not Maple. OH,how I tried to taste the maple flavor but it is not there! I love maple anything, ice cream etc but these cookies just did not measure up so all those calories for nothing. Lucy's does make a good cookie but this flavor was a disappointment. No wonder I could not find them!" +580,1351209600,B005UGSR72,A1PFJU470P7MWW,4,"Very good, not great","Tastes good, but not sure you can really taste the Kona. Makes for nice cup of coffee, but I wouldn't pay a premium." +581,1351209600,B005K4Q1W2,A2TZKSY1ZWPOU9,5,Great Hot Cider!!!,It is hard to find much of anything sugarfree that really tastes good but this apple cider is the best. I also love the regular hot apple cider in sugarfree form. +582,1351209600,B0058CGLH6,A3QRR5YN6ALFPG,1,If you like Campbells Pepper pot soup then don't buy this!,"Not at all like pepper pot soup, it is just a crab soup that has very little flavor and in no way should be called pepper pot." +583,1351209600,B005FKRTN6,A382JIHUMW9B63,5,Best Ice tea we've had!,"We go to a local mom and pops Italian restaurant in our neighborhood and always loved their ice tea. One day we asked the owner what they use to brew it with and he told us Calypso by Mighty Leaf. He even gave us a sample bag to take home with us. Anyways, we have been ordering it ever since and love it. If you are an ice tea lover, this is the best you can use. It has this subtle kind of passion fruit like after taste.. which compliments every time you take a sip and exhale." +584,1351209600,B001B4VOQI,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +585,1351209600,B001B4VOQI,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +586,1351209600,B005EF0HZ4,A2A5Z7LC91EFVA,5,Gluten Free Kid,"We LOVE Lucy's cookies! The Maple Bliss are wonderful, just too bad they are so hard to find. We went through our order in no time and will be reordering soon." +587,1351209600,B003MP12MU,A2RCQKSH9Y972I,3,Not very hot,"These are not very hot.

They are about as hot as cayenne flavored peanuts.

No ghost chile heat level.

The Hottest Fn Nuts are much hotter and better flavored.

These are mild enough for children, and would make a good gift for someone new to hot snacks, but it is not likely to please chileheads." +588,1351209600,B003B3OOPA,A1IDRPIHIMFU3Z,5,Ezcema Treatment,My 7 mo old had ezcema from our laundry detergent...a little coconut oil healed him right up! I even blogged about it while doing research...here's my link if you'd like to read more. [...] +589,1351209600,B003194PBC,A2FSDQY5AI6TNX,5,My furbabies LOVE these!,"Shake the container and they come running. Even my boy cat, who isn't big on ANY food, loves these! A winner in our house! Two paws up!" +590,1351209600,B003G52BN0,A2O4V3MCB7EPPU,4,One of my favorite K-cups flavors,This is one of my favorite k-cup flavors. The coffee roast is mild and has just the right amount of coconut flavor. It is not over powering or cloying. I like to brew this on the second to largest size setting (on my machine) and add one splenda and liquid carmel creamer. It sounds like a weird combo but it's really good. It's my Saturday morning go to coffee combo. +591,1351209600,B004NZ0JIQ,A2K082DNME4G2P,5,Delicious!!!!,"A coffee treat. Now that my husband and I drink this coffee, there is no going back to the plain stuff ;)." +592,1351209600,B003QNJYXM,AYTSBGA5A3UWI,5,A God Sent Remedy!!!,I love this stuff! It's a God sent Remedy for hangovers!.... I understand the health concerns many people have and I can also see that this can be habit forming. I make sure I only take one every so often and not everyday. +593,1351209600,B005HI557S,A36ERNIM0TKG3T,5,Hidden Springs Maple syrup,"This is one of the very finest maple syrups I have ordered and enjoyed. I bought the Fancy Grade, for the light amber color. It has a very great taste. I will reorder." +594,1351209600,B004EHXOWG,A2GHZMH24WP4I4,3,Great Product not so great USPS delivery,"I use a lot of Clamato juice for mixed drinks and have gotten several orders from Amazon at a great price with good service for the subscribe and save. Unfortunately the postal carrier decided not to leave this shipment due to rain. Fine if you can't bag it than leave a delivery notice and re-attempt. Not so. Who knows how long it would have sat in the local post office if I hadn't have tracked the package. I finally called and after getting a bit of a run around they agreed to deliver it the next day if it didn't rain. It didn't and I had left instructions for the carrier in case of rain. Still all in all my delivery experience has not been an issue with Amazon.

Now, as I've found several other subscribe and save items, the price just went up so I can buy it cheaper locally. Really disappointed as I like the convenience of having it delivered. This product has had no price increases locally in well over a year so I'm a bit confused why Amazon needed to raise it's price." +595,1351209600,B000G1CG50,A3VBVJ6UG09MFC,5,Yummy Chummies,All my dogs love them. Healthy treats. Not great for training as they crumble when you try to break them into pieces +596,1351209600,B003YZ3MN0,A10J6HSUU9ZAGJ,5,Best beans your money can buy,"These are, hands down, the best jelly beans on the market. There isn't a gross one in the bunch and each of them has an intense, delicious flavor. Though I hesitate to pick a favorite, I have to say that I love green apple, a rare flavor in drugstore jelly beans. Each flavor tastes like the fruit it is modeled after, not like the tart candy version of that fruit. I even love the cherry flavor, and I hate cherry flavored candy. I don't find them similar to Starburst candy, so don't let that put you off if you're not a fan. Overall, they are delicious, perfectly-sized, crunchy yet smooth little morsels of fruit flavor." +597,1351209600,B001ELJJRY,A3UCQK5288MQ98,5,Great wine,"I bought this wine kit because I wanted to find a nice white wine that I could let age a while before I gave it to any family or friends. When this wine was complete, it tasted a little thin to me. However, 3.5 months of aging brought it a lot way and it tastes wonderful. I highly recommend this kit if you just want to make a batch of wine to age and enjoy down the road. I can only imagine how good it will taste in another 6 months to a year." +598,1351209600,B000LKTXNY,A2J3PR6J36UTVH,5,Michael Seasons Unsalted Potato Chips,"These are the best chips ever! They are unsalted and being on a low sodium diet critical in allowing my husband and I to eat chips. They are all natural and low fat which is a great extra bonus. Additionally they have the BEST flavor...you really taste the potato flavor and not the salt! I would choose these chips over ANY chip on the market today, salted or not!! These chips as well as ANY unsalted chips are very hard to find in the stores so THANK YOU Amazon for selling them." +599,1351209600,B001AS1A4Q,AYTSBGA5A3UWI,5,A God Sent Remedy!!!,I love this stuff! It's a God sent Remedy for hangovers!.... I understand the health concerns many people have and I can also see that this can be habit forming. I make sure I only take one every so often and not everyday. +600,1351209600,B0039JXQ1Y,AUEA2NJHMK9DF,4,Like this tea,This tea has a nice flavor although I wish it was a little stronger. I have brewed way it states and even tried letting it sit longer to get a stronger cup but it didn't work. Am pleased with purchase and flavor overall. +601,1351209600,B0099HD3YA,A4M1YK1RDM82I,5,A great coffee experience,"We have used pretty much every coffee brewing method, but I think for home or office use the Nespresso is best. We also have and use a Kurig. For larger cups of coffee we use it. But for the small tasty concentrated cups (expresso) we always use the Nespresso. The variety pack has a good variety of blends; coffee tastes fresh. In combine with the machine (we bought one without all the bells & whistles), it is simple to use and clean. My office bought one of the nespresso machines; then I bought one for home. It came very well packaged and with good set up directions. To be a perfect experience, the capsules would be more readily available -- you will find the machines, but not the capsules at many places." +602,1351209600,B000JZDY0Y,A3JJXE7D548PRX,5,Absolutely incredible and intense milk chocolate flavor!,"Hands down one of the best milk chocolate bars out there. This can only come from the UK! Their chocolate is incredible. The bar just melts in your mouth and, of course, flakes all over the place." +603,1351209600,B003Z6ZGZU,A15FF2P7RPKH6G,5,got this for the daughter,all i have heard since she got a kuerig is why doesn't every one keep pumpkin spice Coffee in the holders. so this is what she got from me and what she gets for Christmas. +604,1351209600,B007OSBGOK,A10QOESY9VJ9K,5,So many varieties!,I love the assortment. Different countries of origins. It is fun to taste the differences. So good. My favorite is the Peruvian. +605,1351209600,B001AS1A4Q,A2E2F8WSUB33VE,5,Excelent,"Good price, flavor, fast delivery And good presentation overall. Very eficient when playing golf, it really gives extra Energy and it helps to achieve a better game" +606,1351209600,B006N3I29E,A29BJSTYH9W3JI,5,super coffee,Great coffee and so easy to brew. This coffee has great aroma and is good to the last drop. I actually like all the brands. This is the way coffee should taste!! +607,1351209600,B001UUOP8C,A3MVQ6NM2JCCNF,3,Doggy snacks,"My dog loves these snacks. However they are made in China and as far as I am concerned, suspect!!!! I found an abundance of American made ,human grade chicken dog snacks. Just Google for them." +608,1351209600,B004FQYYFM,A2YMQWU9WDPNEU,5,Great!,"Tastes great, really nice that samples came with, convenient. Not as great as loose leaf (personal favorite). I thought it was a little pricey but I re-use each stick at least once so that helps. I would buy again or suggest to others. Aa a matter of fact, I've given out 4 at work and everyone loves them!" +609,1351209600,B001BS4G6O,A2I606SLG4SWHF,5,Perfect for Giving Medications to Our Dogs,"Every month, we give our three dogs (two Aussies and a Golden/Flat-Coat Retriever mix) pills for flea/tick/worm repellant. In addition, one of our Aussies needs daily thyroid pills. We found Pill Pockets is the very best way to do this. Opening the mouth wide and trying to put the pill waaay in the back of the mouth before clamping the jaws shut and massaging the throat until the poor dog swallows is a bad thing to do to a beloved pet. It's bad because Pill Pockets make this chore a happy and delicious time for the dog involved. The Pockets (in the pet store we use) come in chicken or beef flavors, so we alternate flavors every time we buy a new supply. Everybody is happy, and the dogs get the required meds." +610,1351209600,B008JKSJJ2,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +611,1351209600,B003Z6ZGZK,A2GW6JUVTALDPV,1,I did not receive my order,"I placed my order through Amazon and after about 10 days inquired about my order because it had not shipped. I received an email back from Starbucks that my order had been canceled. No explanation at all, just that it had been canceled. I checked back on Amazon and see that this item is still available but they had raised the price.

So instead of honoring the price they just blew me off like the sale never happened. Shame on Amazon for allowing a seller to do this.

Bottom line, Amazon has gone down a few points in my eyes. Greedy Starbucks can keep their coffee." +612,1351209600,B000LKTXQG,A2J3PR6J36UTVH,5,Michael Seasons Unsalted Potato Chips,"These are the best chips ever! They are unsalted and being on a low sodium diet critical in allowing my husband and I to eat chips. They are all natural and low fat which is a great extra bonus. Additionally they have the BEST flavor...you really taste the potato flavor and not the salt! I would choose these chips over ANY chip on the market today, salted or not!! These chips as well as ANY unsalted chips are very hard to find in the stores so THANK YOU Amazon for selling them." +613,1351209600,B007IEGR9O,A8M34GMW5GF6D,4,girls bettlejuice costume,Fit perfectly. Size is true. Expected exactly what was described online and that's exactly what i received. Would definitely purchase another item in the future. +614,1351209600,B008JKU2CO,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +615,1351209600,B003QNJYXM,A2E2F8WSUB33VE,5,Excelent,"Good price, flavor, fast delivery And good presentation overall. Very eficient when playing golf, it really gives extra Energy and it helps to achieve a better game" +616,1351209600,B007IEGR9Y,A8M34GMW5GF6D,4,girls bettlejuice costume,Fit perfectly. Size is true. Expected exactly what was described online and that's exactly what i received. Would definitely purchase another item in the future. +617,1351209600,B00915F4HY,ADG5OH71NP8JX,5,Dreams do come true! You can now eat Mitt Romney's bowel movement!,"Year after year I would lie awake in bed, thinking, hoping, wishing for the one day I could purchase a likeness of a major political figure that actually defecates candy. Well, every once in awhile, dreams do come true. This defecating Romney doll is all I hoped for! Unlike the real Gov. Romney, though, who passes actual fecal matter (on a rather regular schedule, I'm sure), the doll empties its bowels of candy! (it should be noted the candy, thank goodness, is not fecal flavored). This will share a treasured space with my NASCAR toilet seat and my mounted rubber fish that sings Roy Orbison tunes." +618,1351209600,B008FXKOI2,A3RKYD8IUC5S0N,5,Tasty and works!,"First off, my cat HATES regular Greenies (the big crunchy ones) and won't even try to lick them. Any flavor. But my big fluffy Himalayan was hacking up stinky furballs in unreachable places, so when I saw these at the pet store I bought them on a whim.

She loves them! I don't think she even chews the things, she inhales them so fast. Tuna treats are ok but chicken were more popular around here. She likes these better than the Temptations treats she had before, and I am convinced that these are somewhat healthier.

The pouch recommends 12 treats a day, all at once, or even more for my big-boned cat. I usually do more like 5-6, because that many treats seems excessive (she would love it though). Either way, she hasn't had any hairballs since. I am not positive about the causal relationship, but I suspect these did the trick. They're great!" +619,1351209600,B007PA32L2,A15FF2P7RPKH6G,5,got this for the daughter,all i have heard since she got a kuerig is why doesn't every one keep pumpkin spice Coffee in the holders. so this is what she got from me and what she gets for Christmas. +620,1351209600,B000RQMQAO,A3KFOZ5D1KQLIU,5,good tea,"The tea is very mellow, not strong at all. I expected it to be bold and strong. According the the Number 1 Ladys Detective agency it was supposed to be soothing, relaxing, and it is that" +621,1351209600,B000LKZ7OI,A2J3PR6J36UTVH,5,Michael Seasons Unsalted Potato Chips,"These are the best chips ever! They are unsalted and being on a low sodium diet critical in allowing my husband and I to eat chips. They are all natural and low fat which is a great extra bonus. Additionally they have the BEST flavor...you really taste the potato flavor and not the salt! I would choose these chips over ANY chip on the market today, salted or not!! These chips as well as ANY unsalted chips are very hard to find in the stores so THANK YOU Amazon for selling them." +622,1351209600,B0029NSI46,A1HKHIP6VCMALP,3,Our dogs love it but finding low price and 12 oz cans is tough,"When Amazon LLC was selling large cans it was affordable via super saving shipping. You expect a price reduction when buying large size cans. One quarter of these cans was only partially filled with chunks, having an inch of fluid before touching the meat product. I shake each of these large cans before opening one. We prefer the smaller cans of this product, but local chains do not carry it in either size, and Amazon only offers it in large. Our dogs love the pedigree brand pouches and cans, especially the beef and liver. Although, they use corn product (one reviewer noted) and my veterinarian espouses ""...it's mostly water,"" our dogs vote is positive. We treat our pets and give this to them because they like it...not for their health.

After finding the substantial price increase this morning, I found the small cans at PetCo. Perhaps, Amazon will get a small can supplier for the ""beef and liver"" chunks in the future." +623,1351209600,B0000CFXYA,A3GS4GWPIBV0NT,1,Strange inflammation response,Truthfully wasn't crazy about the taste of these but reason for the low rating is more to post a heads up warning. I noticed a trend in drinking this with a headache response. From an old neck injury I could get headaches from reinjuring or aggravating it. This tea triggered that same response which was very surprising. It made me think that many people could be triggering similar inflammation without ever tracing it back to the tea. So just heads up if you are susceptible to this type of pain. +624,1351209600,B0001BH5YM,A1BZ3HMAKK0NC,5,My favorite and only MUSTARD,"You've just got to experience this mustard... This is the queen mother of all mustards and so worth the money. I will actually crave this and eat it straight from the crock W/ a spoon, so you can only imagine it on a sandwich. I use this in many of my recipes and it makes them so special." +625,1351209600,B0009ET7TC,A2FSDQY5AI6TNX,5,My furbabies LOVE these!,"Shake the container and they come running. Even my boy cat, who isn't big on ANY food, loves these! A winner in our house! Two paws up!" +626,1351209600,B005HI556E,A36ERNIM0TKG3T,5,Hidden Springs Maple syrup,"This is one of the very finest maple syrups I have ordered and enjoyed. I bought the Fancy Grade, for the light amber color. It has a very great taste. I will reorder." +627,1351209600,B007KPFTNG,A506HOOCVL8GW,5,BEST cup of coffee I've ever had!,"I thought I'd splurge and try this coffee. It costs much more than other decaf K-Cup options. But I hoped that meant it was better coffee. It IS better coffee. I've never had a better cup of coffee than this. It is excellent when compared to any other decaf or regular coffee I've tried.

If you like BOLD, FLAVORFUL decaf coffee try this coffee and you'll really like it." +628,1351209600,B003SBTUCW,A3MH1RD8BXQKK3,1,No Thanks!,I LOVE the Blue Sky Wild Raspberry but I cannot stand the Black Cherry. It doesn't have much flavor and it has an awful aftertaste. UGH! +629,1351209600,B004GN8NP6,A1GENHMJBIS42V,5,Boring name but great coffee,"Aside from a non-flashy name, this is a great coffee. Very smooth, perfect! If is my favorite at this point, even over other flavored coffee." +630,1351209600,B008LFAS08,A3TB0KS3CCQ1K0,5,Best grinder I have had bar none!!!!,"This is the 3rd meat grinder I have purchased, and the best by far. We make our own raw diet for our cats, so a grinder gets
a real workout from us. We grind at least 40# of meat at a time when we use it. With the other two grinders we had to reverse the grinder several times because meat got hung up. Also, we would have to let it ""cool down"". With this one we have NEVER had to reverse it, and the motor stays cool. We do shut it down several times so we can crack the chicken leg bones with a mallet (we were told to do that by the manufacturer) and we do a bunch of legs at a time. I would recommend this grinder to anyone wanting a GOOD grinder that
doesn't hang up and have to be reversed or cooled down often. This grinder is a real worker, and I would compare this with a grinder costing 3-4 times as much money." +631,1351209600,B0047RQ9M0,A29BJSTYH9W3JI,5,super coffee,Great coffee and so easy to brew. This coffee has great aroma and is good to the last drop. I actually like all the brands. This is the way coffee should taste!! +632,1351209600,B001PQTYN2,A3OTHWG8LLCLMU,5,Great,"If you like a great , hot, sauce then buy this. If spicy with heat isn't to your liking then don't buy it." +633,1351209600,B008GRONV6,A2I606SLG4SWHF,5,Perfect for Giving Medications to Our Dogs,"Every month, we give our three dogs (two Aussies and a Golden/Flat-Coat Retriever mix) pills for flea/tick/worm repellant. In addition, one of our Aussies needs daily thyroid pills. We found Pill Pockets is the very best way to do this. Opening the mouth wide and trying to put the pill waaay in the back of the mouth before clamping the jaws shut and massaging the throat until the poor dog swallows is a bad thing to do to a beloved pet. It's bad because Pill Pockets make this chore a happy and delicious time for the dog involved. The Pockets (in the pet store we use) come in chicken or beef flavors, so we alternate flavors every time we buy a new supply. Everybody is happy, and the dogs get the required meds." +634,1351209600,B004DBS2TI,A1DV7TLJ1HT08H,1,"great product, poor delivery","The coffee is excellent and I am a repeat buyer. Problem this time was with the UPS delivery. They left the box in front of my garage door in the middle of the driveway. Because of this odd delivery location, my wife ran over the box when she backed out of the garage and did not see the box. we lost half of the cups. Thius is the third time I have written about this matter to Amazon with no results. Hopefully someone will respond to me.

fred santaniello" +635,1351209600,B000GAT6NG,A150LY3C1UEV9E,5,"Good quality, great to cook with",We have enjoyed using this product. I like it specially for cooking lightly breaded fish or vegetables. It gives a faint pleasant taste of coconut. I can hardly wait to do some tropical dishes. +636,1351209600,B0007U5J40,AGCJI4YJM3PWZ,5,VERY HAPPY CUSTOMER,If you like sponge candy- and have never tried this before- you are really missing out. I am not able to obtain this product and usually have friends that bring them back to me after holiday in the U.K.

So please that I can these online- +637,1351209600,B001IZIEGS,AYDZMG82XBCPW,5,Great fresh taste,"These are plump, fresh pistachios with a very light saltiness. Great for a midmorning or midafternoon snack. Very few unopened pistachios." +638,1351209600,B005BPVE90,AGZEK96T7WK6,3,"Very tasty, very filling, not that nutritious","I really enjoyed these and was surprised at how much they remind me of a ""normal"" chocolate-oatmeal-raisin cookie. But I don't really feel they should be called nutrition bars, as while they have 28% RDA of dietary fiber per bar, they have only 4g of protein, 4% RDA of calcium and 8% RDA of iron, and that's it; no other vitamins/minerals. When I hear ""nutrition bar"" I'm expecting a bit more than that. Even so, they are tasty and filling and only 200 calories per bar so I'll buy some from time to time for those ""rushed mornings"" when a decent breakfast is impossible." +639,1351209600,B0033GMSTY,A1DV7TLJ1HT08H,1,"great product, poor delivery","The coffee is excellent and I am a repeat buyer. Problem this time was with the UPS delivery. They left the box in front of my garage door in the middle of the driveway. Because of this odd delivery location, my wife ran over the box when she backed out of the garage and did not see the box. we lost half of the cups. Thius is the third time I have written about this matter to Amazon with no results. Hopefully someone will respond to me.

fred santaniello" +640,1351209600,B000PILF24,AMPYE406UY34Y,5,Love It,"First let me say I'm new to drinking tea. So you're not getting a well rounded expert opinion. I started drinking lipton green tea at work and loved it. Small caffeine boost, great flavor, no calories, etc. Read about white teas online so I gave this a try. The price is incredible. The tea reminds me of a tea I drank at a Chinese restaurant when I was young. Brings back good childhood memories, love the flavor. WILL BUY AGAIN." +641,1351209600,B00443Z35G,A3G23SMM1E1KPV,5,Great Swedish Pastries,Svenhard's varity pack pastries are great. Individually wrapped to stay fresh and very tasty. Box of 36 of different varities. Freezes well. I eat one every day that we are at home! +642,1351209600,B00264S63G,A36AUU1UNRS48G,5,"So convenient, for so little!","I needed two vanilla beans for the Love Goddess cake that my husbands adores. So you can spend exorbitant amounts of money at the grocery store for more vanilla beans than you need, or you can order the amount you need with free shipping. Each bean was in its own plastic vacuum package that looked like it could keep for awhile if you needed it to. The cake was, of course, delicious, and my trash smelled great from the two little plastic vanilla bean packages, so maybe you could use them to make something else smell nice." +643,1351209600,B002OVO5EK,A2FSDQY5AI6TNX,5,My furbabies LOVE these!,"Shake the container and they come running. Even my boy cat, who isn't big on ANY food, loves these! A winner in our house! Two paws up!" +644,1351209600,B003BM42R6,ADHJWUUXR5US7,2,Poor germination rate,"I had high expectations of these seeds, but I was disappointed! About half or more of the seeds I planted failed to germinate. On the upside the ones that did start to grow, did pretty well." +645,1351209600,B0002DGRPC,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +646,1351209600,7310172101,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +647,1351209600,B004S0332A,A1P232KPXTRR3C,5,Goodness on all of it!,"I use from the breakfast table to dinner. I like it on eggs, we bake it with chicken or salmon, I even use it as one of my ""secret ingredients"" in my BBQ rub. We keep this on steady supply." +648,1351209600,B000158YDY,A2ZN3J0M6KIML9,4,What a treat!,"Ordered these as part of a presentation on Malaysia as this fruit had left a very positive impression on me during my visit. We gave these to 4th graders who were equally impressed with the exterior soft spikes and the juicy center. The fruits arrived in good condition, just slightly bruised. The kept well in the fridge in a single-double layer covered with a damp paper towel. I had also rinsed in a vinegar-water (1:10 parts) solution to be sure to inhibit any mold (like I do with berries). They kept from Saturday when they arrived to Thursday with minimal browning. I ordered 4 pounds and had plenty of fruits for the 40 kids. I think there were about 55 - 60 fruits all together. It was a fantastic treat and the kids were requesting we bring them again for the Halloween party! I'm sure they'll remember the presentation for a long time." +649,1351209600,B000MAK3R8,A2WWNCU4KG5S0B,5,Best Microwave popcorn on the market.,If you like butter flavor this is the best microwave popcorn available. Sometime you can find this at Walmart and I got tired of looking for it every week. Subscribe and save and i get a case every month for about half the price Walmart was selling it for. +650,1351209600,B0051O6P36,A1VC6419THHIET,5,Good for all cats.,"I just got these treats last week and they're already gone this week. I wish there were bigger bags, but that's not the case. The down side is they're expensive. It doesn't matter to my boys. They love them anyway. I hope that I will find work soon and be able to give my cats the better food they deserve." +651,1351209600,B001EO5RSQ,A33W5JAFGHYRQZ,5,Love this Cereal!,"There is nothing else like this on the market. No GMO, highest fiber of any cereal I can find and high protein. It keeps me healthy. I won't eat any other cereals, mostly junk." +652,1351209600,B0045H264C,A3IYSIAKYOMKTO,5,Wild Honey,"This really is unfiltered honey made from wildflowers, so if you have allergies expect a reaction, at least initially. If you are planning to visit Central Florida on vacation this is a good buy to prep your immune system against the local flora. The flavor is a little stronger than single cultivar honeys, so you don't need as much to flavor your food and drink with. I detect more than a hint of honeysuckle in there. It's tasty, and the price is right." +653,1351209600,B0007A0AQM,A1HHNY1GVD3UIS,5,my dogs love the peanut butter!,"First off, read the ingredients, no crazy words I can't pronounce, which means it's all natural! I got the peanut butter treats for my two children: husky/shepherd and a lab/shepherd mix, and they can't get enough of them. Plus, on Amazon, this is such a great value for 16oz. Beats petsmart for sure! I'll be looking for more Zuke's products now that I've discovered them. Thanks Zuke's!" +654,1351209600,B001XWRMAU,A1KWVBDHBG50VZ,5,Outstanding product!.....,"Great flavor.....lotsa "heat"....I use Cayenne almost everyday, and this organic product is so much better than the store bought brands..." +655,1351209600,B0002DGRRA,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +656,1351209600,B000E3ZFCG,A1ABVE0J8C9SHM,5,Unbelievable! the best rice I have ever had.,"I hardly ever write reviews, this rice is so good that I have to write about it.

I live in Hawaii and have never seen this Caribbean rice mix for sale in any store. I came across this while searching Amazon, so glad I gave it a try!.. ""try it"" I do not think you'll be disappointed.

I have added the chopped up chicken as suggested but i also added small chopped onion, it is unbelievable! Another great way to make it even better is try adding fresh Mango while it is simmering or if you cant find it fresh, use canned mango nectar, substitute 1/4 cup of the water for the mango juice. Super Good!. Also instead of 2 1/2 cups water as suggested use only 2 1/4 cups water, brings out the flavor a little bit more I think (2 cups water / 1/4 cup mango nectar)." +657,1351209600,B001E5DXYU,A2POT13FER5L82,4,very pronounced smoky flavor,I have used several brands of this type of tea. All of the other ones had a mild smoky flavor. This one's smoky flavor is much more intense and may not be enjoyed by everyone. +658,1351209600,B000E3ZFCG,A2R5Y7T3JY15I9,5,I love this stuff,Hard to find in the grocery. I buy it by the case online. One box makes four lunches with some blackened chicken for protein. There is something about the sweet pineapple and curry that makes this rice mix delicious. +659,1351209600,B000084ETY,A1HRYC60VTMYC0,4,"Cee Cee LOOOVES it, This I Know","The only reason I am giving it 4 stars instead of 5 stars is for the strange can design -- a substantial amount of food sticks to the inside of the can and in the crevice under the top lip, long before the can is empty, and I have to use a baby food spatula to scrape this off.

That being said, Cee Cee kitty devours this. It is not grain free -- as it does have Brown Rice in it (listed as the 8th ingredient, so it DOES have plenty of meat and fish protein), but the meat as well as the other ingredients more than make up for this. Felidae Canned Cat Food for Adult Cats and Kittens, Formula with Chicken, Turkey, Lamb and Ocean Fish also smells very fresh and not garbagey like some of the supermarket cat foods. And since Cee Cee is battling hyperthryoidism as well as a heart murmur, I want to buy her the best food I can afford. This may be a bit pricey but it is VERY dense, so it goes a long way." +660,1351209600,B004FGWU9O,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +661,1351209600,B000SDO5YQ,A5R3XOLGJG1P5,5,Wonderful taste!,"Very pleased with the quality of the espresso. The pods are sturdy enough to withstand the pressure of the water in brewing - no messy grounds from broken pods to threaten the functioning of the machine. The crema is awesome, taste is smooth." +662,1351209600,B003HFA3XY,A1PLO6OW6O2Z1,1,Not very tasty!,I love Arnold Plamer's and Starbucks has the best black tea & lemonade. I was hooked on them all summer. When I saw a bottled version of this beverage I was so excited. Unfortunately this is not a tasty product at all. I drank 1/2 bottle and had to dispose of the rest of it. Not good at all. Very disappointed! +663,1351209600,B008NDSNH8,A2Z0XFW79HXASE,5,Yum,"Yum, Yum, Yum, Yum... (Munch, munch). Yum! Love it and it tastes wonderful. Works perfect in a whirly-popcorn maker. They best compliment is when the kids ask, can we make another batch, and they like it better than the movie. Our friends have tried it and have asked for what we use as our popcorn recipe. How cool is that!?" +664,1351209600,B005Y10ZMS,A31XW1RTQ4ZG9W,5,South Beach energy bars dark choc,"Want a party in your mouth and a healthy bar at the same time?? My South Beach dark chocolate bars came from Amazon just as my husband was working to increase his fiber for health sake. This dark chocolate, chewy taste is fantabulous!! It would be great as breakfast bar with coffee or tea in the morning or a delicious snack with extra fiber any time of day. This individually packaged bar is convenient to carry and a delictable chew. South Beach Diet Bar Fiber Granola Bar, Dark Chocolate, 5-Count(Pack of 8)" +665,1351209600,B0002DGRPC,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +666,1351209600,B002133Z56,A1KWVBDHBG50VZ,2,Disappointed,"My daughter buys this brand locally.... The only difference is its more expensive and its boxed....Or that was what I assumed...This product is not washed and has the husk or outer shell still on it, and you must wash and rinse it multiple times to get that outer shell off of the grain.....Consequently I have cooked it a couple of times, assuming that I had properly washed and rinsed the grain, and had bad results....Future purchases will be from local market, even though Its more expensive....At least its washed and cooks perfectly every time....." +667,1351209600,7310172101,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +668,1351209600,B006FKMB1K,A16MAY5BMKOQG1,5,Exactly what we were looking for!,"We received a nice selection of K-cups at a reasonable price. I also liked the way it was packaged. It arrived in a small, heavy weight paper bag which meant that I could put the cups we wanted to try first on the display rack and tuck the rest up in the cabinet above. The bag is smaller than one of the bulky boxes that don't fit in the cabinet (even though they're only half full)." +669,1351209600,B0002DGRRA,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +670,1351209600,B00473ZJ9S,A3V51LS397Y1TC,5,Great Product,"this is Great Stuff have been using it for years.It getting harder and harder to find in the stores,so I just figured i would start ordering it. Much easier" +671,1351209600,B000LKXDXU,A2J3PR6J36UTVH,5,Michael Seasons Unsalted Potato Chips,"These are the best chips ever! They are unsalted and being on a low sodium diet critical in allowing my husband and I to eat chips. They are all natural and low fat which is a great extra bonus. Additionally they have the BEST flavor...you really taste the potato flavor and not the salt! I would choose these chips over ANY chip on the market today, salted or not!! These chips as well as ANY unsalted chips are very hard to find in the stores so THANK YOU Amazon for selling them." +672,1351209600,B002ZOCEMG,A1LIP0F4R542OQ,1,:(,I just got this coffee a few days ago. I had coffee with this bean yesterday and today morning. I can't like this coffee even if I'm trying so hard to like this coffee. +673,1351209600,B009WSNWC4,AMP7K1O84DH1T,5,DELICIOUS,Purchased this product at a local store in NY and my kids and i love it. Its a quick easy meal. You can put in a toaster oven on toast for 6 min. and its ready to eat.
strongly recommend +674,1351209600,B0051COPH6,A3NDUBKYPI47N2,3,Product expiration & bulk ordering,"The product itself is pretty straight forward. It's got pureed organic baby food in a little pouch. Easier to transport than the little glass jars. If your baby eats a lot, there's a lot more food per pouch. The nozzle and cap makes it easy to squeeze straight onto a spoon and feed baby with no mess (at least on this end). Also, since the food theoretically is being transferred from the pouch to the spoon, you don't have cross-contamination of the baby's mouth germs being reintroduced back into the jar of baby food.
The color of this particular product leaves a bit to be desired. But the flavor was fine (to me) and the pear and garden greens combo is pretty nice and healthy.

I echo the same concerns that another reviewer posted. I actually got this product a little earlier since I knew my baby would be eating in a month or so. Lo and behold, once I opened it when he was ready for solids, the expiration had already passed. Perhaps this is only an issue for the free stuff we're getting through Vine reviews; I sure hope so. But somebody ought to think twice about giving out stuff on the cusp of expiration that is meant for babies and their uniquely sensitive systems. This is also relevant given that the baby food comes packaged as a pack of 12. Now, I don't know who would buy a package of 12 food pouches of the *exact* same flavor. Your baby must really love pear and greens. Moreover, I mentioned that each pouch is 4.5 ounces. That's more than 2 glass jars' worth. My personal thought is that unless your child has texture issues or low oral muscle tone, the baby is probably going to move through the pureed food stage a lot faster than you could possibly go through 12 pouches of this baby food (I'm assuming that you're also providing him/her with other flavors, though).

I also recommend looking into the Happy Baby brand of baby food. It also comes in neat little pouches and has organic pureed fruits and veggie combos; but it adds additional Salba grains that are naturally rich in Omega-3s." +675,1351209600,B004P8FUXA,A18PSXOI64YFZC,3,its delicious...,I was surprised at how delicious these toasted chips are. They ship well with little damage. I have ordered them several times. Also they are very fresh. Not one bit was left in the bag when I got through. +676,1351209600,B007VQQT1K,A34P4V70RNC2YV,5,Great Irish Tea,We recently returned from a wonderful three week excursion to Ireland.
We tasted many Irish teas and our favorite was Barry's Gold Blend.
I was pleased to find it readily available on Amazon and at a reasonable price
as we have already used up the supply we brought home. +677,1351209600,B0045Z6K50,A3HM6TNYB7FNDL,4,Full- bodied without a bitter after-taste,This is my everyday coffee choice...a good all around crowd pleaser. Green mountain Sumatra would be my back-up-for-a-change-of-pace second choice...nice to have both on hand! +678,1351209600,B0005Z7GMA,ALJ8LNGJ8HC1V,5,Mrs. Dash Tomato Basil Garlic,"I saw this advertised in a magazine and was unable to find it locally. Lucky for me, I located it at Amazon. I love it, especially on chicken. Bought some for my daughter, and she swears by it too." +679,1351209600,B000UBD88A,AWRFQYLG7LQKJ,2,Not very strong,Not as strong as the regular dark coffee. Disappointing after having Sumatra at Starbucks. Wouldn't get it again. It just didn't taste like the real deal. +680,1351209600,B0000V1B3E,A3PKAVKWFFT0GC,1,Want To Pay $31.51 Lb For Loose Tea That's Mediocre At Best? Then Look No Further,"Holy cow, when I placed my order for 24 individual packets I assumed each packet would yield 1 gallon. Wrong. 3 Quarts. Apparently China Mist has taken a different course and screwed the customer out of that extra quart even though all the other brands that offer family size or filter pack tea bags the yield is always 1 gallon.
And now for the math...1 box 24 ct China Mist shipped = $35.45. 18 gallon yield = $1.96 per gallon. Price per pound loose tea = $31.51. NEVER AGAIN. First and last purchase I make with China Mist of Arizona. Especially when their product is mediocre at best anyway. Give WALTERS BAY & COMPANY a try people. They make 4 flavors of iced tea and their price which includes shipping and is prime eligible is $30.75 and that buys you 96 1.o oz filter packs...NINETY SIX GALLONS OF TEA.

Enough said. China Mist good riddance." +681,1351209600,B003IHO8OG,A21XO4RCPWMEVK,5,Gives Me The Focus I Need,"This past summer I started experimenting with products that claim to give you focus when I go to my pool games. The first one I tried was vitaminwater Attention which has caffeine in it. I initially like the results, but the next week I had taken a nap prior to drinking it and the caffeine became too overwhelming when I played my games and it caused me to rush a bit during my shots. It was my worst performance all summer long. For the last few months I've been drinking a neuro SONIC prior to my games and I LOVE IT! It gives me the focus I need without revving my engine up too much like the vitaminwater Attention did. I see a lot of people complaining about the price, but I don't think it's that big of a deal. Comparing it to the vitaminwater Attention it has A LOT more brain power ingredients, so it's not like they're overcharging you for nothing. They have a far superior product to any Monster or Red Bull or any other caffeine-loaded energy drinks on the market. And it gives you a lot more focus than 5 Hour Energy does as well. So the $2.50-$3.00 price tag is well worth it to me.

I also like to mix this with a little sativa and the results are remarkable. I've been doing this combo all season long (started in September ends in December) and I'm the highest ranked player on my team. The best player on our team started the season off slow but he's been picking it up a bit lately so he might catch me by the end of the season. But if I keep up my winnings with the neuro SONIC & sativa combo I think I can keep my spot." +682,1351209600,B003Z2N8GI,A3G67CDWPI9HLA,4,Good value but still borderline junk-food,"I was very pleased to find these snacks at this price. The vending machines I'm around sometimes have these in them, but they're half the weight for basically the same price. I'll just keep a pack of these with me and get twice the value!

I gave them 4 stars because they're not 100% fruit. Yes, they have real fruit juice in them, but they also have corn syrup (not high fructose thankfully), corn starch, and added sugar. These are good snacks, but they're still straddling the junk-food fence." +683,1351209600,B000H1217M,A1HHNY1GVD3UIS,5,my dogs love the peanut butter!,"First off, read the ingredients, no crazy words I can't pronounce, which means it's all natural! I got the peanut butter treats for my two children: husky/shepherd and a lab/shepherd mix, and they can't get enough of them. Plus, on Amazon, this is such a great value for 16oz. Beats petsmart for sure! I'll be looking for more Zuke's products now that I've discovered them. Thanks Zuke's!" +684,1351209600,B000NBQUNW,A10F34HEJG1QW1,4,BENECOL SMART CHEWS,"My cholesterol readings have improved with the help of the chews, I believe. However, I may like the chews better if they were less sweet." +685,1351209600,B004AWV49U,A92RW3QSICGK,3,Hot Apple Cider,"This was very good for the most part. I like to drink it in the chilly mornings we've had lately (in Vermont). The only bad thing is sometimes if I don't drink it fast enough, I end up with the residue which isn't that good.
I appreciate it being sent to me in a timely manner." +686,1351209600,B008PYVINQ,A1DRWYIO7JN1MD,2,bot very cheesy,Got this about a month ago.first of all it smells horrible...it tastes very peppery and not very cheesy. If you are going for the stuff at the movie theater this is not it +687,1351209600,B001E55YVK,A3RKGIDH068DMU,5,Flavor yogurt,"My wife has had Lap Band surgery and has to eat small, low calorie meals regularly. I find that cut up veggies (broccoli, carrots, etc) with a dipping sauce made of Greek Yogurt and Hidden Valley Ranch salad dressing mix goes over really well." +688,1351209600,B0029NU416,A1HKHIP6VCMALP,3,Our dogs love it but finding low price and 12 oz cans is tough,"When Amazon LLC was selling large cans it was affordable via super saving shipping. You expect a price reduction when buying large size cans. One quarter of these cans was only partially filled with chunks, having an inch of fluid before touching the meat product. I shake each of these large cans before opening one. We prefer the smaller cans of this product, but local chains do not carry it in either size, and Amazon only offers it in large. Our dogs love the pedigree brand pouches and cans, especially the beef and liver. Although, they use corn product (one reviewer noted) and my veterinarian espouses ""...it's mostly water,"" our dogs vote is positive. We treat our pets and give this to them because they like it...not for their health.

After finding the substantial price increase this morning, I found the small cans at PetCo. Perhaps, Amazon will get a small can supplier for the ""beef and liver"" chunks in the future." +689,1351209600,B000LKVL16,A2YRK0YLBN5CC2,3,"Good flavor, but a wet mess","I got the teriyaki flavor and, while the flavor is good and the texture is also good once you get it into your mouth, it can be a mess getting it there. As other reviewers have noted, this is not like your typical dry jerky. It seems more like something that would be created by the company that makes SlimJims or something - it's moist and chewy. The individual packets don't tear easily, either, despite being notched at the end. You know how sometimes plastic can tear very cleanly, but sometimes it turns into a ragged edge and becomes a struggle? That's what happens with these 8 times out of 10. So if you're out and about (not near a sink) and you try to open it and the tear doesn't work perfectly, you potentially have liquid dripping out onto you, certainly on your fingers as you're trying to get the jerky out of the package and into your mouth. And the liquid dries sticky.

Anyway, as I said, the flavor is good and I've now eaten most of mine, but I have taken to opening the package with scissors and eating them only at home so I can wash my hands afterward." +690,1351209600,B001VNGHSO,AGIFGYN717K2K,1,Not for sprouting,"I bought these seeds for sprouting, as I assumed they would sprout. After 4 days it was apparent that they will not, and are dead. I bought an alternate brand advertised as sprouting seeds, and after 2 days, they were growing." +691,1351209600,B00004RAMY,AEQ2FUEQEQVTI,1,defective device,"no instructions provided. Trap would not open. when trying to set the trap, cut my finger. It appears that the device was not bent. not sure since no instructions" +692,1351209600,B00004RAMY,A24GR1MZXO4MOM,4,Great Mole Trap,A very well built mole trap that works great when set correctly. The safety latch is a nice feature that prevents accidental tripping while setting the trap. I don't follow the box instructions but rather set the traps on the surface. This works well with a lot less effort than trying to bury them. I've found that a person needs to be very patient. The mole may not use the tunnel for several days. In fact I've caught some after five or six days. Picking the best tunnel is the hardest part of trapping moles so spent your time there rather than moving traps around every two days. +693,1351209600,B006K2HQRW,A37264CFSSA73O,4,Standard,"It's not the best quince brand but it's fine.
The product arrived in perfect conditions and it worked to bake a ""Pastafrola""" +694,1351209600,B0050CPSBE,A4IL0CLL27Q33,1,Buyer beware,"Nespresso makes GREAT coffee and GREAT machines. I switched over to a Nespresso machine 7 years ago and have never looked back. I save a small fortune every year by making my lattes at home.

That being said, the Nespresso capsule offers posted here are from a third party who is putting a large additional margin on their price.

You can order the same products online from Nespresso for approx $0.55 each (half the price here)." +695,1351209600,B00401OZ1U,A1KIL93AY6MFGS,5,Metromint or Bust!,Chilled Oragemint is a classic refreshment for a dry and scratchy pallet. Premium price is met with exceptional taste and exceeded satisfaction
Go for it! +696,1351209600,B0068ZWDG0,A18SSQCUXS47D1,5,Was bummed!,"I was bummed that I might run out of this favorite of mine, before I received my next shipment via the subscribe and save program! Really don't tolerate the full caffeine coffee, and love that I can get the 50% (probably should stop at one cup, but can't have just one!), not to mention it has a smooth flavor and just always leaves you wanting just a little more ;}!" +697,1351209600,B004TBCP22,A2P9JQ1B3PIVB4,2,TASTED & SMELLED STALE,I just got back from a 3 week Rhine River cruise and these candies were available at all times in a big bowl up on the front desk. Everyone loved and raved about them and talked about trying to order when we got home and how we would do that since it was a German company. I was so excited to see that thru Amazon I could get them. I even bought some for my friends in California that went on the trip with me. I was so disapointed. They are not fresh and even the inside of the bag smells musty. I'm very disapointed. +698,1351209600,B001FB6B0G,ALZ6ZNT6D5S2Y,5,Cooking Sauce,"I love this product, and have been using it for nearly 30 years. This dark soy sauce is perfect for Chinese ""red"" dishes, items that are braised or cooked, pot roasts! Many reviewers complain about the bitter and unusual taste of this sauce when they use it at the table. I never use it the table or directly on finished food, salad or rice; it's more of a ""COOKING"" soy sauce. Use regular soy sauce for the table and enjoy the black or dark in your cooked foods." +699,1351209600,B009RB4GO4,A2TZKSY1ZWPOU9,5,Great Hot Cider!!!,It is hard to find much of anything sugarfree that really tastes good but this apple cider is the best. I also love the regular hot apple cider in sugarfree form. +700,1351209600,B003VXHGDM,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +701,1351209600,B006H33NL2,A1J0EO4EVI9ANK,5,Favorite chew toy!,"This is the second one of these antlers that I've ordered (the first one was stolen by a friend's dog, because he liked it so much!). My dog absolutely loves these antlers and carries them all over the house with her. It is the perfect size for her (she's about 30 pounds) and provides hours of chewing time. I highly recommend this to anyone with a dog who loves to chew and is looking for something other than a bone for them to chew on." +702,1351209600,B00005C2M2,A3IVNUHADVJKFA,5,Perfect Gift,"I got these to give out in a goodie bag for the holidays, with a couple extras of course. They arrived quickly, the price was right, and they were delicious! I can't wait to give them to all my friends!" +703,1351209600,B003VQXYMQ,A2QVLUH3RNRS7D,2,Bitter...,"This hot cocoa is drinkable, but the taste is bitter to me. Some in our office thought it was okay. I'll try another brand next time." +704,1351209600,B002W1F6TK,ANSBPV2CZVZ39,1,terrible treats,My dogs love them but they are loaded with junk and come from another country. these went in the trash once i read that. I buy USA only and not loaded with junk like caramel coloring or anything thats a preservative. stay away from these. not good for your dogs. +705,1351209600,B0045Z4JAI,A3AE4G41HPLMP,5,Newman's own Organics Decaf Cups,"newman's Own Organics Special Decaf hasGreat flavor,not bitter at all.Excellent! Would definitely order again.Wish price was a little less pricey." +706,1351209600,B005HUVI0E,A3HM6TNYB7FNDL,4,Full- bodied without a bitter after-taste,This is my everyday coffee choice...a good all around crowd pleaser. Green mountain Sumatra would be my back-up-for-a-change-of-pace second choice...nice to have both on hand! +707,1351209600,B000CQBZQK,A26DOVGY14V7NX,5,breakfast tea,We switch to this decaf tea at night for a great cup of tea and no sleep problems. Thanks for a good cup of tea. +708,1351209600,B0012EYELE,AWQOTHBNJBSVB,1,Couldn't tell you how it tasted,"The bottle was not sealed, and when I opened the cover, there was black crusty
stuff on top. Gross. I'm sending it back." +709,1351209600,B007Y59HVM,A308RR8J9NJOOZ,5,One of the best!,"I am recently new to the Keurig world. I've tried a handful of flavors since I've gotten my machine, and have been just ok with most of the flavors tried. Fog Chaser has restored my faith in my investment! Try this! Coffee shop taste and at a better price than Keurig K Cups!" +710,1351209600,B007Y59HVM,AAMUNRK134Y5P,4,"Product is good, but....","I like the product and the price point, but for me, the flavor was very strong and overpowering. Perhaps I should have figured this out from the "fog chaser" name?" +711,1351209600,B004VD7KYG,A3HC89PVV5886W,5,"Long Lasting, Reduced Dry Mouth","I've been using this gum for about 6 months now, and find it the best product I've found to help control dry mouth syndrome, brought on by my daily meds. 1 piece will last me about 2 hours and my breath is very fresh. I recently started using an inhaler which adds to my Dragon Breath, and this particular configuration, in the BLUE box gives relief. Bonus is it is sugar free! I'm glad I was willing to spring for a product I'd not heard about. Now, I just have problems finding it easily, in local stores. Hence, Amazon." +712,1351209600,B008I1XPKA,AJJVIVZIQUH3N,2,Fair to midland,"I was skeptical about ordering what with the trouble of the cups exploding, but I didn't have any of that trouble. I did find, however, that it just wasn't full-bodied enough for me. It left me wanting. I can usually brew an 8 oz cup from my K-cups but truthfully even brewing at 6 oz I still didn't get the rich flavor I craved. So I've been finishing up the box by brewing it at 2 or 4 oz and adding a different K-cup brand to the mug. I'd stir clear of this one." +713,1351209600,B003W1Z63A,A2YMQWU9WDPNEU,5,Great!,"Tastes great, really nice that samples came with, convenient. Not as great as loose leaf (personal favorite). I thought it was a little pricey but I re-use each stick at least once so that helps. I would buy again or suggest to others. Aa a matter of fact, I've given out 4 at work and everyone loves them!" +714,1351209600,B001NZPFB0,A3318V6FJ2KIII,5,My dog enjoys it and it helps her hips.,"My dog was diagnosed with hip dysplasia as a 6-month old puppy. The vet said it was the worst case he'd seen in a puppy her age and we were told that she wouldn't be able to walk by the time she was three if we didn't have an expensive surgery done. I've tried various supplements and foods over the years and although she may sway a bit when walking and tire easily she's now 8 years old and we frequently go on short hikes together.

I started feeding her Happy Hips about 4 months ago. Since that time I've cut out any other supplements and paid close attention to how she does. She readily eats the food and doesn't gorge herself when eating. She seems to have more energy and stamina now. I don't want to push her too hard but last weekend I took her on a 4 mile hike over aggressive terrain, much more than we normally do, she led the pack the whole way and even jumped in the truck quickly when we were done. In the past I've had to lift her into the truck at the end of any hikes. She spent the rest of the day sleeping but the next day was up and going again. Overall I'm very impressed with my dog's health and since this has been her food over the last several months it has to be a factor in how she's doing. I originally was going to rate this 4 stars but really have not complaints at all and my pup is doing great so I upped it to 5 stars.

As a side note I read reviews online before feeding my dog this food and found that it is rated well by a few independent review sites." +715,1351209600,B001E52ZJ4,A34U0B84YB7FL2,5,Best of the Bunch,"Tastes great and full of fiber. The new breakfast of champions. Hard to find in the stores, especially this flavor. If you are a Prime member, the cost numbers work pretty well." +716,1351209600,B007RTR8AC,A2PZM8DT1KGT10,5,Fabulous Shampoo,"The name says it all- Clear Scalp and Hair - leaves your hair clear of all products used since the last shampoo! Volumizing - not only does it build up your hair at its roots, but also gives it volume to the end of your hair. Nourishing - if your hair tends to be dry - you will want to try this shampoo! My hair has never looked so good nor has it ever been this easy to manage!" +717,1351209600,B001L1MKLY,A38XYFHXEUNUW6,5,Yummy & Subtle,"Just made my first pot of this wonderful coffee. It was simply delish! Subtle hint of cinnamon. It wasn't overpowering, which I was worried about. I've had 2 cups already. I'll be making this lots! It's difficult to find flavored types of coffee that are decaf. Thumbs up! :-)" +718,1351209600,B001D09KAM,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +719,1351209600,B000LKTTTW,A3GS4GWPIBV0NT,5,Very good,Wasnt sure about buying such a large quantity of something untried but it was great and we have went through it pretty quickly. Will buy again. +720,1351209600,B009BE2PGS,A2BOAFWDA691AF,4,Heavenly Decadence! But Oh MY!! The Calories...,"These Cookies are beyond tasty- They are heavenly & decadent! They have a cakelike texture with the perfect amount of pumpkin spices, and a cheesecake flavored white chip that completes the experience! And, It is such a GOOD thing they are only available during the Holiday season (and I pray they keep it that way)or I'm telling you- I would be as big as the broadside of a barn. That is no joke. Just one small cookie (approx. 1 oz with a 3"" diameter) contains a whopping 130 Calories, 4.5 grams of fat (2.5 saturated) and 21 grams of carbohydrates (12 of those sugar carbs). So, just like everything else yummy in this world, this tasty tempation should be enjoyed in moderation. Thank you Pepperidge Farms for this tasty treat during the Holidays, and my waist, hips and behind would appreciate it if you keep it as a special Holiday only treat. :)" +721,1351209600,B005FH23QM,A3CGPHRA30C3WH,5,Belongs in your kitchen,"Grapeseed oil is a healthy, light oil of very mild but pleasing flavor. I use it when I don't want the strong flavor of olive oil or when I need an oil that will tolerate high temperature cooking. I don't use it every day, but I make sure there is always some in my kitchen when I need it. This seems to be a good brand." +722,1351209600,B005Y10XZ2,AK7CAW3N1XZV6,4,Surprisingly good!,"I was a little hesitant to try these bars, as I usually don't like chocolate for breakfast (I prefer fruit-flavored things in the morning). However, what I DID like about these bars was the ""Protein Fit"" label; if I am going to grab a bar for breakfast, I want it to be high in protein rather than some sugary cereal bar. These South Beach Protein Fit Bars have 9 grams protein (I usually look for 8 or more), 8 grams sugar (about 1 1/2 teaspoons--very reasonable), and 3.5 grams fat, with 2 of those being saturated (I don't worry overly about fat myself, but others might find the saturated fat content a bit on the high side). The bars also contain a good dose of additional nutrition, with 3grams of fiber, 15% of the daily calcium requirement, and various other vitamins and minerals.

I was pleasantly surprised by the flavor of these bars as well. Unlike many other chocolate products of this type, the chocolate tastes natural rather than artificial. In additional, the bars have a very nice texture: they are like a flaky, moist cereal bar. Personally, I could have done without the extra drizzle of chocolate on top, but I think that chocolate lovers will truly love these bars. I would definitely recommend the Chocolate Protein Fit bar to others; I plan to check out the South Beach Protein Fit Cinnamon Raisin flavor for myself." +723,1351209600,B005Y10XZ2,A235UFZGCFN3J5,5,Rich cocoa taste and satisfying...,"I like the convenience of protein bars for an on-the-go snack that fits in a purse or bag. I've been in search of a bar like this for a while because most other protein bars I've tried either aren't satisfying or have as many calories and fat as a big candy bar. These South Beach bars have a very rich cocoa flavor that chocolate lovers will appreciate. They're only 130 calories but still have a good amount of protein to keep hunger at bay between meals. They're also much lower in sugar than similar bars in this category but it doesn't affect the taste. They are just the right balance of low calorie, great taste and still very satisfying. I have already ordered my second box of these." +724,1351209600,B001E5E470,AGADB4E6N1EDS,5,Help for a Lousy Cook,"I'm a lousy cook and I know it. However, when my kids and I grind a little garlic and red pepper over my otherwise bland food, it actually tastes good. (It even makes my Thursday Night Spaghetti border on gourmet-ish when I also include a little fresh Parmesan.) I've tried some other blends from our supermarket, but nothing else tastes as fresh or balanced as Drogheria & Alimentari. It's not too hot for my youngest, (she's 8), but it has a enough kick for the rest of the clan.

Having said that, a little of this goes a long way. You might want to split an order with some friends to try it. For our family, though, we like it so much we have it on our Subscribe and Save list." +725,1351209600,B001E50R4Y,A3L8ZK47FOA8JY,5,Value Value Value,"Dogs love product and this method of purchase provided savings, convince, and freshness! Will buy again if product remains available in this quantity for this price!" +726,1351209600,B004AA2MUM,A1YZ4FP8H9AV6I,5,Perfect treat,Arrived on time. The sweet treat reminds me of my childhood where you smack it to break into edible pieces. +727,1351209600,B004DMGQKE,ABXLMWJIXXAIN,5,Awesome service and great products,"We sent this product as a gift to my husband's daughter (who just graduated from UNH and started her new job in research). She was delighted with the sentiment and the gluten free snacks!
When we ordered it, there was no place to put a gift greeting, so we contacted the company, and they added the greeting for us and were very sweet and courteous - we loved the customer service and the products.
We highly recommend this company and their products, delicious healthy snacks with great service. What more could you ask for?" +728,1351209600,B005C3IVME,A2HCEWRGKDPN9P,3,Quite sugary,"I bought this maple syrup to save a little money versus an organic grade A maple syrup available on Amazon.com. I do notice a difference in taste, this one is more sugary and has a less complex taste. It might not matter to you if you're not a maple syrup connoisseur." +729,1351209600,B002BV05D8,AB3H48U5G3PH1,5,Gatorad,My husband loves this in a can! Can't find the cans in any store. They shipped it fast and will order again! +730,1351209600,B000EVWQZW,A2PCNXBSKCABG5,4,Versatile Mix,"This mix makes a good bread or can also be used to make pop overs which are nearly the same as those made with wheat. My wife is a celiac so we use this for bread, popovers and pizza crusts." +731,1351209600,B0029NIBE8,A3RKYD8IUC5S0N,2,Messy and apparently undelicious,"My cat is not a huge fan. Sure, she'll lap up the gravy, but leaves the little meat-like bits as dry as a bone. It feels like saving money, but not if your cat is only gonna eat cornstarch gravy and turn her nose up at the meat by-products. It's probably fine for a grocery-store food, but a better quality food will make your cat happier and maybe healthier. Also I can't imagine gravy has got the nutritional content my cat needs.

Pouches seem like a great idea compared to messy, annoying cans, until you can't figure out a way to get the stuff out of the package without getting gravy all over your hands.

I switched to Merrick cat foods and my cat is happier--she doesn't leave lots of uneaten bits." +732,1351209600,B0042GSMLW,A1LOWH0EG7X3HR,5,Yummy,You can taste the butter. The peanuts are fresh. Each piece of See's Peanut Brittle is a nice size and the flavor is yummy. If you are a prime member it ships at no additional charge. Great deal! +733,1351209600,B007KPFSFA,A506HOOCVL8GW,5,BEST cup of coffee I've ever had!,"I thought I'd splurge and try this coffee. It costs much more than other decaf K-Cup options. But I hoped that meant it was better coffee. It IS better coffee. I've never had a better cup of coffee than this. It is excellent when compared to any other decaf or regular coffee I've tried.

If you like BOLD, FLAVORFUL decaf coffee try this coffee and you'll really like it." +734,1351209600,B007VGZXPS,AE3WZL0YLVZG2,5,Rustichella ROCKS!,Anything this company makes is worthwhile eating! My favorite is their Trenne.
Their whole wheat pasta is the best I have ever had. +735,1351209600,B006392M7Q,A36ERNIM0TKG3T,5,Hidden Springs Maple syrup,"This is one of the very finest maple syrups I have ordered and enjoyed. I bought the Fancy Grade, for the light amber color. It has a very great taste. I will reorder." +736,1351209600,B0013A0QXC,AWRFQYLG7LQKJ,2,Not very strong,Not as strong as the regular dark coffee. Disappointing after having Sumatra at Starbucks. Wouldn't get it again. It just didn't taste like the real deal. +737,1351209600,B005VOOT52,A2FKFQQPU498JT,5,chocolate heaven,Excellent smooth taste. Any one who loves chocolate will enjoy this drink. Almost has good as International house's dark mayan chocolate coffee was. +738,1351209600,B0057QFOK8,AFRQ2IIV4MBLK,5,Yum!!,"I go through a lot of this garlic olive oil - using it for many savory dishes. My husband and I love garlic, enjoy cooking, and this adds so much to any dish, plus the price is very reasonable!" +739,1351209600,B0050B1GS4,A245UUHQOLXF6L,3,Tricky to work with,"This product is very tricky to work with and a pain in the rear. If you can get it cut and on the cake without tearing, it looks great, but it's very delicate work. Buy 2 the first time you use it, because you will probably need a backup. I cut out a VERY simple silhouette of a black cat to go on top of an orange Halloween cake and even that simple shape had to be trimmed and finessed because the edges would tear as I was cutting (I used small sharp cuticle scissors). If you have a Cricut and lots of shapes to cut with, it's probably a lot easier, but I don't anticipate using these enough to justify the expense. Cool concept- but I think it would work much better if the sheets were a little thicker and sturdier.

ALSO- the black will stain your fingers and your tongue (!) when you eat it. Kids thought it was great, hubby and me not so much.

By the way, I DON'T recommend the pre-cut letter sheets. The letters are small and not very well cut. I couldn't get them off the backing without tearing them- I ended up having to pipe the letters on anyway, which I could have done in the first place much more quickly and easily. Not worth the $4-$5." +740,1351209600,B00866AM2G,ADTOX2JFWWA0B,5,Love it.,I love this but think its a little to expensive for everyday use. It's refreshing and really quenches your thirst. +741,1351209600,B001EO5YO8,A171CP9ZEUR8B9,4,The taste we were looking for,"We originally used this product in one particular stir-fry recipe. Just for the fun of it we tried it in several different marinates and grill basting sauces and loved the results. Experiment with it, you might be suprised." +742,1351209600,B00866AM2G,AY839W9JQDZM2,5,I love this,"It's is in my opinion the best coconut water out there, especially since its not made from concentrate, the. Taste is just so delicious" +743,1351209600,B002GWMGES,A2NUQSB42RKBFA,5,Panama green beans,"These beans have produced some enjoyable cups of coffee with a medium roast (dark brown beans with no oil on their surfaces) at 455F for 17 minutes. We have experimented, using the same roasted beans with different water sources. We have learned that the beans alone do not make the coffee. The WATER that is used also plays an important part of how your coffee tastes. Try your tap water one morning and spring water the next morning, using the same beans! SURPRISE !" +744,1351209600,B005J0N5ZI,AK42RQFIGJAEJ,5,OMG!!!,"I just want to start off by saying that I am a holiday fanatic!! I love the smells like the heater kicking on for the first time in the fall, the onions/celery/bell pepper being cooked up for stuffing, etc. My family has been big Pennsylvania Dutch Egg Nog drinkers. Love the stuff and love that it's cheap (BIG family). I spent the holidays with my in-laws in the northeast and had this stuff for the first time. From then on, I was hooked!! You have to like egg nog of course, but the fact that it's chocolate too is even better. Very creamy, but not too thick like some other brands can be. The only drawback is I can't find the stuff where I live so I have to ship it in, which turns out to be pretty expensive in shipping costs especially since the product is usually less than $10 a bottle! I would recommend this to every egg nog lover!!" +745,1351209600,B001NZVW80,A3318V6FJ2KIII,5,My dog enjoys it and it helps her hips.,"My dog was diagnosed with hip dysplasia as a 6-month old puppy. The vet said it was the worst case he'd seen in a puppy her age and we were told that she wouldn't be able to walk by the time she was three if we didn't have an expensive surgery done. I've tried various supplements and foods over the years and although she may sway a bit when walking and tire easily she's now 8 years old and we frequently go on short hikes together.

I started feeding her Happy Hips about 4 months ago. Since that time I've cut out any other supplements and paid close attention to how she does. She readily eats the food and doesn't gorge herself when eating. She seems to have more energy and stamina now. I don't want to push her too hard but last weekend I took her on a 4 mile hike over aggressive terrain, much more than we normally do, she led the pack the whole way and even jumped in the truck quickly when we were done. In the past I've had to lift her into the truck at the end of any hikes. She spent the rest of the day sleeping but the next day was up and going again. Overall I'm very impressed with my dog's health and since this has been her food over the last several months it has to be a factor in how she's doing. I originally was going to rate this 4 stars but really have not complaints at all and my pup is doing great so I upped it to 5 stars.

As a side note I read reviews online before feeding my dog this food and found that it is rated well by a few independent review sites." +746,1351209600,B001SB34RG,A2NM2R0EH3K6C1,5,won't kid you,I won't kid you there is nothing better than a real hot dog. I love hot dogs but because of health reasons my husband &I had to cut back. We tried linketts and found they are an excellant substitute. Now we can have hot dogsdogs any time we want& during foot ball season that is all the time. Kraut dogs you can't tell the difference between linketts & the real thing. I 'am happy & so is my stomache. GramaM
P.S. You can freeze them & take out as needed. +747,1351209600,B00146K7MU,A23OJZCP25VVIE,5,Licorice Pastels a Hit,Very delicious and enjoyed by many people. These pastels do not melt and do not require special storage or handling. +748,1351209600,B000CQID7E,A26DOVGY14V7NX,5,breakfast tea,We switch to this decaf tea at night for a great cup of tea and no sleep problems. Thanks for a good cup of tea. +749,1351209600,B000FDQV8M,A1N9VWQSB1CX0E,5,Great Coffee,I have used Alessi Decaffenated Caffe'Expresso for years. It is sometimes difficult to find at local gracery stores and specility coffee stores are far too expensive. It makes great expresso and excellent caffe' latte. The price on Amazon is excellent. I buy it in a pack of six and price is even better. +750,1351209600,B001ELL9GI,AJB0B4DIL1292,5,a great product and deal,"I looked at all of the reviews and shopped around locally before buying these. Locally the best deal I could find was $6 for 1 oz!!!!! I use them on my cereal, yogurt, granola and even in baking. They are yummy and very good for you. I shared one bag with my two health conscious kids and put the other bag in the freezer so I can dip into as needed. You will not regret buying these. I tried roasting some but prefer the nibs in their natural state. I plan to grind some up and try in place of cocoa powder in recipes." +751,1351209600,B005P0NW14,A2B8TQ3M0VRKV8,5,Great Product,"I enjoy drinking this in a greek yogurt smoothie in the morning. I use greek yogurt, pineapple, banana, and green superfood chocolate powder! Delicious!" +752,1351209600,B00823T1K2,A2TNEYVYHY3C4C,3,Tepid Response from My Cat,"It's difficult to write a review for food that I have not personally eaten or been able to obtain a verbal response for from its intended consumer. I don't think my normally voracious cat loved this product though; she would often take a few bites, then walk away from it, then come back to it only when she became very hungry. Of course, this is only one case, and I have no explanation--the ingredients seem to be good and it didn't smell or look particularly offensive." +753,1351209600,B001E5E3S0,A27NSDZXTFJXVZ,5,Great product,"McCann's Irish Quick cooking is the best tasting oatmeal in my lifetime of experience. Also very convenient purchasing it at Amazon. Stores either don't carry it, or are out of it or have high prices. I am very pleased with this product." +754,1351209600,B00800525U,A22IAC67WWBIJB,2,disappointed,I am disappointed with this press. I was hoping it would make a good cup of coffee like the AeroPress does but there is no comparison... and the AeroPress also cleans up much easier. If you are looking for a great cup of coffee...look elsewhere. If you don't have a Keurig machine and want a inexpensive way to use K-Cups then you may be satisfied. Howevert the machine is much faster and easier to use. +755,1351209600,B007TBO6PI,A2W8NAL3R6U8TF,5,Delicious!,"Love these packs. I have made pretzel dogs, bites and sticks. I have even used the pretzel mix to make calzones and pizza. Both came out great." +756,1351209600,B001SAVSHU,A1SGK9Z6F04XI5,5,Sesame seed packets from Amazon,"I particularly like this method of packaging. I don't use a lot - mostly for garnishing loaves of bread. By having it in small packages, I can keep the extras in the freezer until needed so it stays nice and fresh." +757,1351209600,B0029J6KQS,A2GPVA0G0TPRFU,5,Munch Bars,The candy bars were awesome they don't sell them locally so I had to buy the through Internet. If fact between my daughter and I finished them up. I'm ready to order more +758,1351209600,B007OXHJX2,A2PJ4OL92XGPHY,5,Whole Grain Food for great Health Benefit,I love the taste and ease of cooking this rice. The reason for making the purchase was because of the fact that is is a whole grain food item with a great deal of health benefits. Made the puchase for a diabetic because it is a low glycemic food item.

I must say that everyone who I have shared the Black Rice with enjoyed it the most when it was cooked in a broth.

I like the texture and taste with or without broth. I must say that the health benefits of the rice is what I was seeking and have found in this rice. Worth every penny that I spent on it. +759,1351209600,B000LKZD4W,A2YRK0YLBN5CC2,3,"Good flavor, but a wet mess","I got the teriyaki flavor and, while the flavor is good and the texture is also good once you get it into your mouth, it can be a mess getting it there. As other reviewers have noted, this is not like your typical dry jerky. It seems more like something that would be created by the company that makes SlimJims or something - it's moist and chewy. The individual packets don't tear easily, either, despite being notched at the end. You know how sometimes plastic can tear very cleanly, but sometimes it turns into a ragged edge and becomes a struggle? That's what happens with these 8 times out of 10. So if you're out and about (not near a sink) and you try to open it and the tear doesn't work perfectly, you potentially have liquid dripping out onto you, certainly on your fingers as you're trying to get the jerky out of the package and into your mouth. And the liquid dries sticky.

Anyway, as I said, the flavor is good and I've now eaten most of mine, but I have taken to opening the package with scissors and eating them only at home so I can wash my hands afterward." +760,1351209600,B000FMZO90,A1EBWGUV88OZ2G,5,Great snack!,Love the snack and very affordable!I bought them to get a better price than at the store and saved $1 per bag! +761,1351209600,B0051WBSPI,A1IK1XYGTNVLOW,5,Great service,Not only is the popcorn terrific and as advertised (hull less) but the order arrived early thanks to their fast and efficient service. Yep! We will do much business with them over the coming years. +762,1351209600,B003JA5KLM,A3UOYYQS5Z47MS,5,Morning Coffee,Great coffee at a good price. I'm a subscription buyer and I buy this month after month. What more can I say? +763,1351209600,B009K7YUDM,A26XOLPFPUPOAL,4,Allergy information from the label: not safe for nut allergy sufferers,"From the label on the Cadbury Screme Egg: ""ALLERGY INFORMATION: MANUFACTURED ON THE SAME EQUIPMENT THAT PROCESSES PEANUTS/TREE NUTS.""

The eggs are tasty, nonetheless, although milk chocolate is not my favorite. Also, FYI, the filling is mostly white with a band of bright green running through it." +764,1351209600,B001HTIUDC,A27RDA09KDYVGY,5,Delicious,"This product is a great alternative to peanut butter, or any butter. I like it just as much as I ever liked peanut butter. It has a similar nutty flavor, with a great contrast of salty and sweet. The shipping was fast, and its a delicious and healthy snack you can eat with just about anything!" +765,1351209600,B0075JTJ42,A20SW5W6FQU0TY,5,Nice,"Super give me full recovery after training in the gym, nice flavor and do not make fell heavy in the stomach" +766,1351209600,B005HUVI40,A1DV7TLJ1HT08H,1,"great product, poor delivery","The coffee is excellent and I am a repeat buyer. Problem this time was with the UPS delivery. They left the box in front of my garage door in the middle of the driveway. Because of this odd delivery location, my wife ran over the box when she backed out of the garage and did not see the box. we lost half of the cups. Thius is the third time I have written about this matter to Amazon with no results. Hopefully someone will respond to me.

fred santaniello" +767,1351209600,B003WP05CS,A2XACLNGHY1EOA,5,dry throat,"Very good product. Have used it for years, but for some reason stores around here stopped carrying this flavor.
Helps not just a sore throat, but a dry throat too. Glad that someone is still selling this product." +768,1351209600,B000FZRYM2,A3L53GLROBET4F,5,Red Chili Fettuccinne,"This product is great - looks, cooking time and taste. Have been using it for
years. My wife has dish adding chicken and mushrooms to this that is fabulous!
Once tried Red Chili Fettuccinne will be a ""must have"" in your pantry." +769,1351209600,B004U49QU2,A3464G00K8ZYD1,5,Great Tasting Double-Chocolate Cookie,"The Chips Ahoy! Chewy Gooey Megafudge cookie combines a rich, gooey chocolate fudge cookie with rich chocolate chips. It was great back in the day, even though I've since become more abstemious in my ways." +770,1351209600,B000SDKDM4,A18NG9I9MT2V8I,5,Deeeee-lish!,"For far too long I was a devotee of the Starbucks roast. This is so much better. Rich, tasty, strong coffee without the BITTER bite. Lovely crema. Works great in my automatic espresso machine, too. Love, love. love Lavazza." +771,1351209600,B002GWHBU2,A2NUQSB42RKBFA,5,Jamaican Blue beans,Excellent coffee bean for roasting. Our family just purchased another 5 pounds for more roasting. Plenty of flavor and mild on acidity when roasted to a dark brown bean and before any oil appears on the bean itself (455F @ 17 minutes). +772,1351209600,B000SWTKV0,A1UVMDUODN4H9D,5,AMAZING,"I bought this on a whim; and it was totally worth it. Sea salt is delicious, and leaves table salt tasting like- pepper (shiver). One thing- you do need to crush it in order to make it usable in most situations." +773,1351209600,B00816PNK2,ABDQA93G2GTXC,5,This is so good!,"I purchased this after my sister sent a small bag to me in a gift box. I loved it so much I wanted to find it to buy for myself and keep it around. I always look on Amazon because you can find everything here and true enough, I found this wonderful candy. It is nice to keep in your purse for when you are out and about and get a dry throat or a tickle in the back of your throat. It is also nice to have in a candy dish at home for guests to try." +774,1351209600,B0014DXT5A,AZUCLRMHEBUG0,5,ZipFizz liquid energy shot,Have used this for years. Gives long lasting energy boost with no sudden let down. Good taste. 4 oz ea. so can put them in my carry-on when traveling. +775,1351209600,B008572JIG,A1HKHIP6VCMALP,3,Our dogs love it but finding low price and 12 oz cans is tough,"When Amazon LLC was selling large cans it was affordable via super saving shipping. You expect a price reduction when buying large size cans. One quarter of these cans was only partially filled with chunks, having an inch of fluid before touching the meat product. I shake each of these large cans before opening one. We prefer the smaller cans of this product, but local chains do not carry it in either size, and Amazon only offers it in large. Our dogs love the pedigree brand pouches and cans, especially the beef and liver. Although, they use corn product (one reviewer noted) and my veterinarian espouses ""...it's mostly water,"" our dogs vote is positive. We treat our pets and give this to them because they like it...not for their health.

After finding the substantial price increase this morning, I found the small cans at PetCo. Perhaps, Amazon will get a small can supplier for the ""beef and liver"" chunks in the future." +776,1351209600,B007TGDXMU,AGUBQN9M09VQ4,1,Not what I expected,"First of all the ""k-cups"" were weird and the taste was not what I thought. I would not buy this product again." +777,1351209600,B007TGDXMU,AAMUNRK134Y5P,5,Very pleased,"Good price, good quality with convenience. Fully met my expectations. Would recommend. The breakfast blend was mild and a nice start to the morning." +778,1351209600,B000RZSPTG,A3GF0GES2U2V19,1,Made in China,I didn't realize this product is made in China. I try to be so careful...They even say endorsed by the American Canine Association (maybe that's in China too). +779,1351209600,B000G6O2QG,A32NC2UF34RJQY,5,Great for HS lunch,"Great for HS lunch, kid enjoy as a snack also, will buy again. Salted chips are good too, tried them too." +780,1351209600,B001EYUE5M,A29BJSTYH9W3JI,5,super coffee,Great coffee and so easy to brew. This coffee has great aroma and is good to the last drop. I actually like all the brands. This is the way coffee should taste!! +781,1351209600,B0081X097M,A1KIL93AY6MFGS,5,Metromint or Bust!,Chilled Oragemint is a classic refreshment for a dry and scratchy pallet. Premium price is met with exceptional taste and exceeded satisfaction
Go for it! +782,1351209600,B008BT11RI,A3OGEVXL65IGNI,5,Grandma's Chili Powder Replica Very Good,This product is what Grandma's Chili Powder used to be. People have posted and searched online for the no longer available Grandma's Chili Powder. Well this Williams Chili Season Mix is the same thing. It is great. Try this. +783,1351209600,B0029NQNWU,A1HKHIP6VCMALP,3,Our dogs love it but finding low price and 12 oz cans is tough,"When Amazon LLC was selling large cans it was affordable via super saving shipping. You expect a price reduction when buying large size cans. One quarter of these cans was only partially filled with chunks, having an inch of fluid before touching the meat product. I shake each of these large cans before opening one. We prefer the smaller cans of this product, but local chains do not carry it in either size, and Amazon only offers it in large. Our dogs love the pedigree brand pouches and cans, especially the beef and liver. Although, they use corn product (one reviewer noted) and my veterinarian espouses ""...it's mostly water,"" our dogs vote is positive. We treat our pets and give this to them because they like it...not for their health.

After finding the substantial price increase this morning, I found the small cans at PetCo. Perhaps, Amazon will get a small can supplier for the ""beef and liver"" chunks in the future." +784,1351209600,B007TGDXMU,A9JMG87TELB6N,5,Best coffee I ever had,This is the best coffee I have ever had. I have had Keurig coffee maker for several years and I tried many different brands and flavors and San Francisco Bay Breakfast Blend is the best. +785,1351209600,B007PA34DS,A3AE4G41HPLMP,5,Newman's own Organics Decaf Cups,"newman's Own Organics Special Decaf hasGreat flavor,not bitter at all.Excellent! Would definitely order again.Wish price was a little less pricey." +786,1351209600,B004IMYBIS,A33V118ZVFLGVK,4,Delicious but not for everybody,"Pros:
- Wholesome ingredients
- Easy to mix and make
- Flavorful and hearty
- My wife and I like the waffles and pancakes made from this mix.

Cons:
- Grainy and gritty. We like this, but it's definitely an acquired taste.
- Separates if too much liquid is added so you can't make thin hotcakes or crispy light waffles with this mix.
- The boxes are tiny, a lot of product goes a little way. We get two breakfasts plus a few to freeze per box." +787,1351209600,B007RVT57O,A2QZ1A8GBTD74X,5,Great,"Great product and shipped quickly! I bought it as a present and they loved it. Thanks a lot, I will be buying again in the future!" +788,1351209600,B004WMPQ7Y,A4IL0CLL27Q33,1,Buyer beware,Nespresso makes GREAT coffee and GREAT machines. The Nespresso capsule offers posted here are from a third party who is putting a large additional margin on their price.

You can order the same products online from Nespresso for approx $0.55 each (half the price here). +789,1351209600,B0013E7C0S,A1RPZXDAATA442,4,"Delicious, but lid is cheap","I bought this syrup after reading the glowing reviews here. It is indeed very tasty, but I have to knock off a star for the flimsy lid. I flipped it open to try the syrup for the first time and half the hinge broke. I would happily have paid 50 cents more for a durable lid since the container is a good size and now I have to use it very gingerly for the next few months." +790,1351209600,B004ZYDB5I,A4IL0CLL27Q33,1,Buyer beware - pricing out of line,"Nespresso makes GREAT coffee and GREAT machines. I switched over to a Nespresso machine 7 years ago and have never looked back. I save a small fortune every year by making my lattes at home.

That being said, the Nespresso capsule offers posted here are from a third party who is putting a large additional margin on their price.

You can order the same products online from Nespresso for approx $0.55 each (half the price here)." +791,1351209600,B00286KM2A,A1CRIM13JI0ZOV,5,Convenient,"Our family drinks about two gallons of iced tea a day. Liptons gallon size bags make it easy to have iced tea on hand at all times. We put 3/4 cup of sugar into hot tap water add one tea bag and let it sit on the counter for a couple hours, remove the tea bag stir and refrigerate. So simple and so refreshing." +792,1351209600,B0055RU9RC,A1PLO6OW6O2Z1,5,Love it!,"My dog has digestive issues and this product works great for her. I am not sure she loves the taste because she only eats when she is hungry and does not run to eat it as she would other brands. But, it does work and that is what counts. Thank-you for making a product for digestive issues." +793,1351209600,B008NDSNAU,A2Z0XFW79HXASE,5,Yum,"Yum, Yum, Yum, Yum... (Munch, munch). Yum! Love it and it tastes wonderful. Works perfect in a whirly-popcorn maker. They best compliment is when the kids ask, can we make another batch, and they like it better than the movie. Our friends have tried it and have asked for what we use as our popcorn recipe. How cool is that!?" +794,1351209600,B001R3BQNY,A1EAVF2W1QBTU1,5,WoW I was a Phsyco path at work,"Finally I was a physo path at work! I go in at 3:30am and normaly im tired, with this I put 1 packet into a bottle of water and right after i clocked in I downed the entire bottle straight. Within 5 min I was a physco path got me threw the day no crash no burn great deal saves me allot of money compared to 5 hour energy! I love it!!!!" +795,1351209600,B002YR97SS,AKXZEJH9B6BQ8,4,good deal,"it's okay, but I would prefer a larger nugget type product. This ends up powder at the bottom of the bag.
Overall, it's a good deal, especially since it's organic. Add a little flavoring and you can replace most uses for hamburger, or stretch that organic lb. of beef into 2." +796,1351209600,B00750E0X6,A2CPS5MWG87O7E,2,not what i expected,"when i ordered this i expected a big box full of fortune cookies like the one in the pcture, nonetheless, when i got it it was very small and the fortune cookies tasted weird. they were okay, but not he best i had ever had." +797,1351209600,B004IN6GVM,A5PFLD64SYXYK,5,The BEST dog candy,This brand of dog treats is by FAR the most loved product of its kind my two miniature schnauzers have ever had for snacks. I have been feeding it to them for many years. We have tried other things but my babies always prefer the Purina TBonz! +798,1351209600,B000ILEITA,A2CYN807KI4S4,5,"Blue Dog Bakery Natural Low Fat Dog Treats, Assorted Flavors","My dog loves these treats and I love the fact that they are natural and low fat. I did have difficulty getting them though. The USPS completely dropped the ball on this. The first order they lost and couldn't/wouldn't find until Amazon called them. Then they miraculously found them and said that they would deliver within a week. That was two weeks into a guaranted 2-day delivery. I reordered and got the new order in before the scheduled delivery date. Well, the scheduled delivery date came and went with no dog treats and no call from the USPS. Amazon did reimburse me for the first order though. In summary...treats good...USPS...sucks! Is there any alternative shipping methods available?" +799,1351209600,B00451WLYI,A2GW6JUVTALDPV,1,I did not receive my order,"I placed my order through Amazon and after about 10 days inquired about my order because it had not shipped. I received an email back from Starbucks that my order had been canceled. No explanation at all, just that it had been canceled. I checked back on Amazon and see that this item is still available but they had raised the price.

So instead of honoring the price they just blew me off like the sale never happened. Shame on Amazon for allowing a seller to do this.

Bottom line, Amazon has gone down a few points in my eyes. Greedy Starbucks can keep their coffee." +800,1351209600,B003A2AZNM,A27G6T9INFS2O7,1,Reese's and Hershey Bars,$30 is way too much - this company is laughing all the way to the bank. Wait til after Christmas - last year I paid $5 for both the Reeses AND the Hershey!! Both worth the wait!! +801,1351209600,B0079OTURE,ANSBPV2CZVZ39,5,I love the powdered xylitol,"even though this stuff is higher in price and I wished i could afford the powdered all the time, this is great for in my coffee or drinks to sweeten. when baking with xylitol though, it can be a little too much. xylitol will loosen your stools, give you gas and other things. the more your body gets use to it..the more you can eat. so I mix in some other sweetener like organic agave inulin powder (not the liquid, its full of sugar). It will definitely give you gas but no other side effects." +802,1351209600,B003ZT25P6,A34ZMGNQ61MPWC,4,Yummy!!!,This product is the closest I've come to finding the pumpkin spice latte at 711...it only comes out in the fall so stock up! +803,1351209600,B003XKF6CQ,A3IYSIAKYOMKTO,5,Mellow,"This honey made from blueberry blossoms has a milder, more mellow flavor profile than a lot of other honeys. It's really good on waffles because it doesn't overwhelm the vanilla in them." +804,1351209600,B001A5VLYS,AMPYE406UY34Y,5,Love It,"First let me say I'm new to drinking tea. So you're not getting a well rounded expert opinion. I started drinking lipton green tea at work and loved it. Small caffeine boost, great flavor, no calories, etc. Read about white teas online so I gave this a try. The price is incredible. The tea reminds me of a tea I drank at a Chinese restaurant when I was young. Brings back good childhood memories, love the flavor. WILL BUY AGAIN." +805,1351209600,B007TGDXMK,A1BSGNCHEI1PJI,5,Very Nice Medium Roast,"This coffee has the best aroma! Great medium taste. I have replaced our Starbucks Pike's Peak Roast because my husband and I like the taste better. I store it in a sealed container, don't mind that I can't store it in my drawer with the other k-cups. The overall morning experience is pleasant!" +806,1351209600,B00529PECI,A3H4L7TJKQHW4Q,2,One of the better one's,"I tried one stick of this, and two other flavors. This salmon is so tough that when you break it in half, if forms razor sharp ends. It is very very salty and not all that great in my opinion. I am used to King salmon being very juicy and oily. I understand this is jerky, but it is to tough to chew." +807,1351209600,B002RZ1Q3Q,A3UCQK5288MQ98,5,Excellent.,"I am a major fan of the Cornucopia kits and this kit was the third kit of theirs I bought. The wine was great, but as one reviewer pointed out, the labels are misspelled. That's just a minor issue and was good for a few laughs." +808,1351209600,B003VXHGE6,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +809,1351209600,B0051WBSFI,A1IK1XYGTNVLOW,5,Great service,Not only is the popcorn terrific and as advertised (hull less) but the order arrived early thanks to their fast and efficient service. Yep! We will do much business with them over the coming years. +810,1351209600,B002AQP5FW,AEWJD0G85FPSG,5,Betty Crocker yellow cake mix,The Betty Crocker Gluten Free yellow cake mixes are delicious and easy. When buying these particular mixes here in bulk of 6 boxes they came out to be so much cheaper than buying them in my stores in my area. So delicious sweet treat and cheaper price is a steal!!! The Chocolate cake mix and brownie mix are definately NOT cheaper to puchase this way here for some reason. +811,1351209600,B00523NRVO,A2JDXKFZ0PFHKU,5,The perfect pop!,"These lollipops are are well done, look exactly like the picture. Not a single one was broken! They packaged each lollipop so nicely, very impressed!" +812,1351209600,B0001UK0CM,A2V8WXAFG1TEOC,5,Excellent taste,"This is to me a great coffee, once you try it you will enjoy it, this coffee has a wonderful taste." +813,1351209600,B001EQ5IAG,A225UWT247BBBH,5,Great stuff! No aftertaste.,"I made sugar-free merengues with this sweetener and they turned out beautifully. This sweetener does have a cooling effect on the tongue just like peppermint, so you will either need to use it in combination with another sweetener, or plan for this effect (I used peppermint flavoring, so it was fine). In heavier baked goods with more ingredients, this isn't a problem, but frosting/icings and merengues can't cover it up.

I've also used it to make carb-free flaxmeal cornbread and chocolate cake, and it is amazing. No funky aftertaste like splenda, equal, and sweet n'low. The cooling effect is undetectable in the more complex recipes." +814,1351209600,B000SMN0DO,AHAJ5BRYBP7U2,5,This stuff is awesome!,"Dandy Blend is awesome! Why drink coffee when you can drink Dandy Blend? Coffee has lots of things in it that are bad for you (check the web), even though people don't like to admit it. Dandy Blend is a liver cleanser and it tastes great. You can drink it hot or cold. I usually drink it hot and add a little rice milk to it to give it that creamy taste. Mmm, yum. I think I'll go drink a cup right now. It is so much better than all of the ""coffee substitutes"" out there. (I've tried them all.)" +815,1351209600,B00018CWN4,A37264CFSSA73O,5,Great quality!,"This product is very good and I won't change it for any other brand nor vendor.
It made my ""chipas"" taste delicious." +816,1351209600,B004O86R2O,ABSMK7ETXKES0,5,Great product!!!!!!!!!!!!,price and quality are awesome!! Buy recommendation only!!!!!!!!!!!!!!!! We ordered several of them and we loved them. Price is so great and they offer free shipping if you buy certain amount. +817,1351209600,B006N0KV8W,A1OA7ZKRQH98C8,5,no complaints,"I'm a huge fan of Jack Daniel's jelly, Historic Lychburg Tennessee Whiskey Burgundy Grape Jelly, so I definitely wanted to try this. I love how you can get four different flavors instead of a four-pack of the same thing, so this is a good buy.

I prefer the Spicy Original and the Original No. 7 Recipe, as I like my sauces to have more of a bite instead of a sweetness, which the Hickory Brown Sugar and the Honey Smokehouse versions have. So if you like sweet sauces, you're also covered here.

I put the Spicy Original on my mashed potatoes and Original No. 7 Recipe on ham, so you're not limited to pulled pork or ribs. But I used to live in Memphis, where I would eat barbeque pizza and barbeque spaghetti.

Overall, I don't consider this expensive for what you get, and I'm pleased with the quality of the product. Now if I could get the jelly at a reasonable price without having to go to Lynchburg, I'd be good to go." +818,1351209600,B0040B5K28,A22CAEM146DDH5,5,Good food,The only dry food my queen cat will eat. Helps prevent hair balls. Good packaging. Arrives promptly. Recommended by a friend who sells pet food. +819,1351209600,B0028GWGY2,A1U2QG2PO7TY9X,5,wonderful tea,I love this tea. It is so refreshing and easily brewed. I have shared it with friends and they are amazed at the wonderful flavors. it is my favorite! +820,1351209600,B000BRR8VQ,A1HHNY1GVD3UIS,5,my dogs love the peanut butter!,"First off, read the ingredients, no crazy words I can't pronounce, which means it's all natural! I got the peanut butter treats for my two children: husky/shepherd and a lab/shepherd mix, and they can't get enough of them. Plus, on Amazon, this is such a great value for 16oz. Beats petsmart for sure! I'll be looking for more Zuke's products now that I've discovered them. Thanks Zuke's!" +821,1351209600,B003ASXKV0,AUEA2NJHMK9DF,4,Like this tea,This tea has a nice flavor although I wish it was a little stronger. I have brewed way it states and even tried letting it sit longer to get a stronger cup but it didn't work. Am pleased with purchase and flavor overall. +822,1351209600,B005K4Q1RW,A2TZKSY1ZWPOU9,5,Great Hot Cider!!!,It is hard to find much of anything sugarfree that really tastes good but this apple cider is the best. I also love the regular hot apple cider in sugarfree form. +823,1351209600,B007FK3JS8,A11X0ENDTFGCEH,5,"Enjoyable, quick cups of coffee with no waste","My mother loves this coffee and the pods fit her coffee maker. It is hard to find pods that do work for it, so we have a standing order for this brand. She can have one or two cups, and go on her way. You just can't beat the ease!" +824,1351209600,B000CQIDJM,A26DOVGY14V7NX,5,breakfast tea,We switch to this decaf tea at night for a great cup of tea and no sleep problems. Thanks for a good cup of tea. +825,1351209600,B004WZ4KK0,A19SKPB9MCXGGH,5,The best Tassimo coffee,"I love all the coffees I have tried, but the Gevalia Dark Italian Roast is the best by far. I would recommend it to serious coffee drinkers." +826,1351209600,B003OFNR6M,A27LEUWQ49OTWX,2,"Poor germination rate, poor growth","I have tried to grow these in little starter plugs and I sowed directly onto a soil. Both times germination rate was very poor. Transplants died. Direct sowing was a bit better but those geraniums were growing very measly. I planted them in very good soil (I test all my soil annually) all other things grown in that soil were great! I would give it 1 star, but give it a benefit of a doubt as I might have not know how to properly grow these geraniums." +827,1351209600,B002ESVRWQ,A293T21WVQ3TDC,2,A bit weak...,"The coffee ""Blend"" is really lean on Kona and really fat on fill. I could not get a full bodied taste no matter how I ground it. If you want real Kona taste, spend the bucks and buy real Kona!!!" +828,1351209600,B000EIE20M,A39QHSDUBR8L0T,3,Just ok,I bought this brand because it was all they had at Ranch 99 near us. I find it spicy (hot) but not enough flavor. I would have rather bought Maesri Thai Green Curry Paste. It is much much more flavorful and spicy. +829,1351209600,B000EMAZK4,A46U02M3QK02,5,FAVORITE tea...,Lipton makes the BEST French Vanilla tea...I have tried others and this is my favorite. Just the right balance in the vanilla flavoring. I buy it by the case as it is hard to find in stores - thankful Amazon is carrying. LOVE this tea! +830,1351209600,B0032CJPOK,A2NJAE2OHSSFA7,5,Best formula on the market,"I have tried pretty much every formula on the market, from similac to enfamil, and this is by far the best. It settles well with my baby's tummy and she doesn't have any digestive problems. It's worth the extra money." +831,1351209600,B0014X5O1C,AHYRTWABDAG1H,5,Wonderful alternative to soda pop,"This is a wonderful alternative to soda pop. It's carbonated for those like me that just enjoy fizzy drinks way too much for their own good, yet it also contains 70 percent total juice. I'm not going to say it should be a substitute to drinking normal fruit juice, but if again you're like me, and both are almost addicted to fizzy drinks and can't stand the taste of any artificial sweetner to even try to gag down a ""diet"" soda, then this is very much the way to go. I also do suggest this flavor, most or all of the Izze line uses some of the flavor of juice listed on the can, but also some grape and/or apple juice as a ""filler"". They do the same here, but it tastes first like clementine or at least orange juice, and then a hint of the others come through. I've found with most other flavors of Izze it will taste more like the ""filler"" first, and then the flavor listed on the can or bottle.

Price may seem high, but compared to what a 4 pack costs here it's actually not horrid considering. And if one has an amazon prime account, then shipping costs aren't a major issue." +832,1351209600,B001PHVO5W,A20RGALDT1UMYG,1,way too bitter,"I love coffee. I am used to strong coffee, I have lots of it. I drink espresso with no sugar or milk. But strong coffee doesn't have to be this bitter. My stomach hurts from drinking it." +833,1351209600,B0054ES1NK,A25QCYSED869Q3,5,If you like mint candy......,"This is the best hard mint candy in the world. Expensive, though. I can't find it in stores. Anyone know where I can get it off-line?" +834,1351209600,B000S859NC,A2H7STZ2URUCOE,5,GREAT TEA,"Rooibos Natural Red tea is something of a personal taste! It has an interesting flavor as all things that are good for you do! I prefer to add a little cinnamon to mine. It is known to be used for people who get GOUT and since I do , I have had no incidents since drinking this tea! If it works, use it! It is a good tea and caffeine free. Some prefer it with sugar!Give it a try too for it's calming effect!" +835,1351209600,B004NB7A1O,A2JDXKFZ0PFHKU,5,Perfect pops!,Not a single pop arrived broken! They take a lot of time in the packaging of this product and it is much appreciated. +836,1351209600,B000EML7DS,A2DFSA2JXQKVY3,4,Not bad.,"These are small and very salty. The taste is good, but very strong, so it's a good thing the package contains a small amount. It only takes a few little crisps to cure my salty/crunchy craving. I can snack on one package for an entire day. Of course these would not be a good snack if you're very hungry, because there isn't enough there to fill you up. For less than $1 per pack it's an okay deal." +837,1351209600,B008RRJCDY,A1W6E1FN0745L7,5,Great Choice on Popcorn,"This powder is unlike anything I've had with its unique flavors. It's a mildly sweet, tangy flavor which goes fantastic on popcorn. While I think most of us love hot, buttered popcorn with an ample amount of salt the simple fact is it's not very healthy. So, I was on a search to find something which was flavorful on air-popped popcorn, but not too bad nutritionally. This fits the bill." +838,1351209600,B0009P5Y9I,A5R3XOLGJG1P5,5,Love this!,"The pods are easy to use and have a wonderful aroma when released from their foil packets. The crema is perfect every time. Smooth enough to drink solo, and strong enough to still have a presence when used for lattes or cappuccino." +839,1351209600,B004MMNNDS,A248RO4GSIWDII,5,Love it!,"Heard great things about drinking this tea. I was very happy with the purchase from this vendor, and I need to reorder ASAP." +840,1351209600,B0002NVKZ4,A94YB71KEDA3X,5,Our pantry staple!,"I first tried these last year and absolutely fell in love. The only fresh mushrooms we can get here are the very basics so to add these is heavenly.

Soups, stews, egg dishes, gravies, meatloaf, these mushrooms make just about everything taste better!

And it's so easy. I rinse them quickly before letting them soak as I'm a bit lazy and didn't want to filter the liquid as they recommend on their website. I've never had any problem. I use the liquid as well, and if I don't use it in that recipe, I save it for another! It's that good!

I cheat and use my Keurig to soak them in a 4 cup vessel with 2 of the large size cups. Perfect every time. I usually grab two very large handfuls of the porcinis to reconstitute.

Beware:
I accidentally ordered from the wrong vendor a few days ago and got a huge bag of... literally - garbage. It smelled so odd, was discolored (dyed?) and just gross. I can only think it was the victim of some warehouse flood or something. Amazon refunded my money and I ordered from here again and just got the most fragrant, delicious mushrooms. I'll never make that mistake again!

Please enjoy these - they are wonderful and I'm so glad I can get them from Amazon!" +841,1351209600,B008AHJZWY,AL0PVH6QPNWMW,1,Hint Fizz,I love hint water so when I saw they offered hint fizz I had to try it. It is the worst thing I have ever tasted. Straight soda water with absolutely no HINT of watermelon. I wrote to the company regarding any form of customer satisfaction guarantee and as of now I have not heard from them. This has been 2 weeks now. +842,1351209600,B003X0RV7O,A3T6IV5D8PTPIZ,5,Just like the Restaurant...,This is great tasting tea! It tastes just like the tea at the restaurant where we were first turned on to Genmai-cha! Nothing negative to say. +843,1351209600,B006W5WH5S,A3AOK34N9VZ7HY,5,Special K fruit crisp. YUM,"Special K Fruit Crisps, Strawberry, 10-Count Bars (Pack of 4)Purchased these for a drive in the morning breakfast food with coffee. Love them. They taste like mini-poptarts for adults. Great try them. Only 100 calories." +844,1351209600,B000EMAZK4,A20DY4XPIV6YKR,5,SO GOOD!!!,"I love this French Vanilla tea and it's not available in stores any longer so I was THRILLED to find it on Amazon. Now that the weather has turned cool, it's time for tea!!" +845,1351209600,B002YHU9LC,A2Z0XFW79HXASE,5,Yum,"Yum, Yum, Yum, Yum... (Munch, munch). Yum! Love it and it tastes wonderful. Works perfect in a whirly-popcorn maker. They best compliment is when the kids ask, can we make another batch, and they like it better than the movie. Our friends have tried it and have asked for what we use as our popcorn recipe. How cool is that!?" +846,1351209600,B00791V0S4,A3SCMZEAXS6VEQ,5,Perfect Snack,"I purchased this item because it was reviewed so highly on another web site. It didn't disappoint. It's not overly sweet, which is perfect. I've compared the taste to less sweet cross between a fig newton and bit of a granola bar. Great for traveling when you don't have access to healthy snacks." +847,1351209600,B005BD7WFC,A2MBKP24AYSXX2,5,Tasty!,"I wish these came in larger quantities, if I could have a cuppa everyday I would. So refreshing and tasty!" +848,1351209600,B000C08B0E,AUEA2NJHMK9DF,4,Like this tea,This tea has a nice flavor although I wish it was a little stronger. I have brewed way it states and even tried letting it sit longer to get a stronger cup but it didn't work. Am pleased with purchase and flavor overall. +849,1351209600,B001SAXPEO,A32NC2UF34RJQY,5,Great for HS lunch,"Great for HS lunch, kid enjoy as a snack also, will buy again. Salted chips are good too, tried them too." +850,1351209600,B0029NU31M,A1HKHIP6VCMALP,3,Our dogs love it but finding low price and 12 oz cans is tough,"When Amazon LLC was selling large cans it was affordable via super saving shipping. You expect a price reduction when buying large size cans. One quarter of these cans was only partially filled with chunks, having an inch of fluid before touching the meat product. I shake each of these large cans before opening one. We prefer the smaller cans of this product, but local chains do not carry it in either size, and Amazon only offers it in large. Our dogs love the pedigree brand pouches and cans, especially the beef and liver. Although, they use corn product (one reviewer noted) and my veterinarian espouses ""...it's mostly water,"" our dogs vote is positive. We treat our pets and give this to them because they like it...not for their health.

After finding the substantial price increase this morning, I found the small cans at PetCo. Perhaps, Amazon will get a small can supplier for the ""beef and liver"" chunks in the future." +851,1351209600,B007L3NVKU,A3HM6TNYB7FNDL,4,Full- bodied without a bitter after-taste,This is my everyday coffee choice...a good all around crowd pleaser. Green mountain Sumatra would be my back-up-for-a-change-of-pace second choice...nice to have both on hand! +852,1351209600,B000I6MCSY,AO34Q3JGZU0JQ,5,Just My Kind of Coffee,"Coffee Masters Hazelnut coffee used to be carried in a local coffee/pastry shop, which is where I fell in love with it. Then they went out of business and I tried for so long to locate it elsewhere, finally finding it at Amazon. It is a mild coffee with a lovely flavor and aroma. I used to mix it half and half with regular coffee, but now drink it 100% by itself 100% of the time. Got on the auto ship plan and couldn't be happier." +853,1351209600,B001IZM7QQ,A2FWY7OWLFDRT3,5,sooo good,tastes so good. Worth the money. My boyfriend hates wheat pasta and LOVES this. cooks fast tastes great.I love this brand and started buying more of their pastas. Bulk is best. +854,1351209600,B001NZTESU,A3318V6FJ2KIII,5,My dog enjoys it and it helps her hips.,"My dog was diagnosed with hip dysplasia as a 6-month old puppy. The vet said it was the worst case he'd seen in a puppy her age and we were told that she wouldn't be able to walk by the time she was three if we didn't have an expensive surgery done. I've tried various supplements and foods over the years and although she may sway a bit when walking and tire easily she's now 8 years old and we frequently go on short hikes together.

I started feeding her Happy Hips about 4 months ago. Since that time I've cut out any other supplements and paid close attention to how she does. She readily eats the food and doesn't gorge herself when eating. She seems to have more energy and stamina now. I don't want to push her too hard but last weekend I took her on a 4 mile hike over aggressive terrain, much more than we normally do, she led the pack the whole way and even jumped in the truck quickly when we were done. In the past I've had to lift her into the truck at the end of any hikes. She spent the rest of the day sleeping but the next day was up and going again. Overall I'm very impressed with my dog's health and since this has been her food over the last several months it has to be a factor in how she's doing. I originally was going to rate this 4 stars but really have not complaints at all and my pup is doing great so I upped it to 5 stars.

As a side note I read reviews online before feeding my dog this food and found that it is rated well by a few independent review sites." +855,1351209600,B000S6CCJ8,A3RI8KFE0MW24F,5,Very pleased,Bought this as a gift for our daughter in law. She was very pleased. So that makes us very pleased. Nice gift. +856,1351209600,B0063HMIRW,A1PTXZ2H80JWZ6,5,BEST,Okay so I work at a Family Dollar in St. Louis && we just got these in. Well for awhile I had been looking for the Snickers for my mom (just because) && now it's at my job for 10$ along with the Reese's. ! It's so freaking good && you can't go wrong with it what so ever . ! +857,1351209600,B0002DGL26,A3SZ0N66423CE5,1,plastic chew,Puppy didn't care for this. Older dog chews on it. Not sure how much gets chewed up and digested. Not too crazy about this. +858,1351209600,B000H0ZJHW,A1HHNY1GVD3UIS,5,my dogs love the peanut butter!,"First off, read the ingredients, no crazy words I can't pronounce, which means it's all natural! I got the peanut butter treats for my two children: husky/shepherd and a lab/shepherd mix, and they can't get enough of them. Plus, on Amazon, this is such a great value for 16oz. Beats petsmart for sure! I'll be looking for more Zuke's products now that I've discovered them. Thanks Zuke's!" +859,1351209600,B004281MKI,A1LOWH0EG7X3HR,5,Yummy,You can taste the butter. The peanuts are fresh. Each piece of See's Peanut Brittle is a nice size and the flavor is yummy. If you are a prime member it ships at no additional charge. Great deal! +860,1351209600,B0083T6HC0,A3O8OORDK17OBT,1,Steer Clear-not as described,"I wanted to try different K cups and didnt want to buy entire boxes of a coffe only to discover i dont like them. I like to take chances and I like variety so I decided to give this a shot. I only recieved 32 K cups, there were MANY duplicates and just under half were decaf. But live and learn!" +861,1351209600,B007S0WQXE,A2BV01F023AUW1,5,Exactly what you think- Olive Garden's salad dressing,"This salad dressing is exactly what you get when you order a salad at the Olive Garden. It's thinner than most creamy Italian dressings but it helps coat the salad evenly without overdressing it. Rated 5 stars not because it is the most delicious salad dressing I have ever had, but because it tastes exactly as you would hope.

This dressing can also be purchased directly from Olive Garden restaurants." +862,1351209600,B001EO5Y52,AO4IX8RD1ZP8M,5,Very very good coffee,"Green Mountain Coffee Fair Trade Organic Sumatran Reserve, K-Cup Portion Pack for Keurig Brewers This is a real treat for a coffee snob! Not only is this a great coffee overall, but even compared to other Sumatran coffees and Sumatran blends this one can hold it's own against most other roasters. I enjoy it better than both the Sumatran offerings from Starbucks. I would say it is right on par with the caribou Sumatran product. only ones that I have enjoyed even a little more were products from Cats Ass Coffee harvested from animal droppings (Kopi luwak)at over $150 a pound 0.o and the Sumatran offered by S&D... But the S&D product is hard to find or discontinued/seasonal. I would tell friends and Coffee people all over to try this! (And yes, I grew up in Portland and Seattle so I just may know better than you) :P LoL

Enjoy!" +863,1351209600,B0019GVYR2,ACSO5EDO1UMZ5,1,NEWSFLASH,"I just called Bob's Red Mill customer service (just do a G search for the company, their customer service number is under ""contact us"" on their site), and I was annoyed to learn that NONE OF BOB'S RED MILL BAKING SODA CONTAINS ALUMINUM. I've been paying $10-15 (with shipping) for this magical 'aluminum free' baking soda only to learn that the Bob's Red Mill 'premium baking soda' at my local grocery is the same exact thing. Call for yourself if you don't believe me. Ugh." +864,1351209600,B0015R9BQG,A2YRK0YLBN5CC2,3,"Good flavor, but a wet mess","I got the teriyaki flavor and, while the flavor is good and the texture is also good once you get it into your mouth, it can be a mess getting it there. As other reviewers have noted, this is not like your typical dry jerky. It seems more like something that would be created by the company that makes SlimJims or something - it's moist and chewy. The individual packets don't tear easily, either, despite being notched at the end. You know how sometimes plastic can tear very cleanly, but sometimes it turns into a ragged edge and becomes a struggle? That's what happens with these 8 times out of 10. So if you're out and about (not near a sink) and you try to open it and the tear doesn't work perfectly, you potentially have liquid dripping out onto you, certainly on your fingers as you're trying to get the jerky out of the package and into your mouth. And the liquid dries sticky.

Anyway, as I said, the flavor is good and I've now eaten most of mine, but I have taken to opening the package with scissors and eating them only at home so I can wash my hands afterward." +865,1351209600,B007F1MA46,A1LHOKYENR7HP2,5,Vinegar Is Magic!,"I have always heard about vinegar being great for cleaning, I'm sure I even used it to clean a microwave before, and I know I've soaked mildew-smelling clothes in vinegar water which was successful. But, it wasn't until I bought a steam mop (here on Amazon) and tackled my vinyl kitchen floors, that hadn't been well cleaned in years... that I discovered the MAGIC of vinegar. This steam mop left my floor so tacky and sticky, if I stood in one place, I felt like either the floor or my skin was going to come off. I took to the internet for a solution. Someone said to mop the floor with vinegar. Skeptical, but desperate, I did ONE mopping of the vinegar all over the kitchen floor. Just like that, as soon as it dried my floor was clean again. Extremely excited, I looked up more magic ways vinegar cleans. Then I ran out of vinegar, and had to buy some more. I have used it now to clean faux wood blinds that had grease & dust buildup, air return vent that had years of residue & dust build up, and stained toilets. I now keep a generic spray bottle of vinegar for cleaning anything.
Alright, I am a believer now. Vinegar is magic." +866,1351209600,B007OXJK3Y,A2U3RRCA2URS56,5,Delish!!,So yummy... Drinking it Black coffee or w cream this coffee is delish .... One of my favs... I would recommend this coffee to everyone :) +867,1351209600,B003VXFK44,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +868,1351209600,B000HDONP8,AM7TK7EDGGV3Y,5,Great Cookies,"These cookies are WONDERFUL! So happy to be able to enjoy a sweet, GF Snickerdoodle! The cookies are flavorful and soft. I think even folks that don't follow a GF diet would enjoy." +869,1351209600,B003P9XFW8,A1XZU3UA1LDHUM,5,Excellent Dog Food,My dog loves it and she absorbes it well. Her breath is fresh and her teeth are staying clean. I free feed her and her weight gain is on schedule. +870,1351209600,B001SAWHPM,A2NCU9UMQMKXKT,5,Tasty and easy to use.,Everyone that dips with this loves it! So easy to use! Olive oil and tasty bread is all you need. +871,1351209600,B004728MI4,A32NC2UF34RJQY,5,Great for HS lunch,"Great for HS lunch, kid enjoy as a snack also, will buy again. Salted chips are good too, tried them too." +872,1351209600,B001D0FT0C,A1VQC2RWKXEZI7,3,question,does anyone know if the flowers come with personal message? It doesn't show where i can write a message to go with the flowers. +873,1351209600,B0035LYCPU,A1D847PJXKDCVF,5,made a great waffle...,"Bought this with my new Oster Belgium waffle maker, and had the best waffle ever. Came out very light and crisp. So easy, didn't add oil or anything. I like that it has 4g of fiber per waffle. I always try to get high fiber bread and carb items." +874,1351209600,B004DBT12A,A1DV7TLJ1HT08H,1,"great product, poor delivery","The coffee is excellent and I am a repeat buyer. Problem this time was with the UPS delivery. They left the box in front of my garage door in the middle of the driveway. Because of this odd delivery location, my wife ran over the box when she backed out of the garage and did not see the box. we lost half of the cups. Thius is the third time I have written about this matter to Amazon with no results. Hopefully someone will respond to me.

fred santaniello" +875,1351209600,B002HNC8VW,A2DVFHG099GUGE,2,Not a preferential hot sauce,"For quite some time, I have been using different types of hot sauce on different types of food. Before I started doing this, I only ever remember using hot sauce on barbeque sandwiches. Even though I have tried numerous types of hot sauce during this period, Tabasco Brand Habanero Sauce has set itself apart from the others as being a hot sauce that I do not consider to be a favorite. Its flavor is novel and peculiar but not to my liking. It also has a strong heat, but that is understandable since it is a habanero sauce, but it is still too hot for my liking. I did use the entire bottle of it, though, and tried it on several food items. Even though I am glad that I tried this hot sauce, it is not pleasing to me." +876,1351209600,B004H6MV28,AFF6F08FRSYWG,5,Love chai - love Keurig - love these K-cups!,I'm addicted to these chai k-cups. It tastes sooo good and much cheaper than fixing my chai cravings at Starbucks. Highly recommend!! +877,1351209600,B000LKU3DI,A2YRK0YLBN5CC2,3,"Good flavor, but a wet mess","I got the teriyaki flavor and, while the flavor is good and the texture is also good once you get it into your mouth, it can be a mess getting it there. As other reviewers have noted, this is not like your typical dry jerky. It seems more like something that would be created by the company that makes SlimJims or something - it's moist and chewy. The individual packets don't tear easily, either, despite being notched at the end. You know how sometimes plastic can tear very cleanly, but sometimes it turns into a ragged edge and becomes a struggle? That's what happens with these 8 times out of 10. So if you're out and about (not near a sink) and you try to open it and the tear doesn't work perfectly, you potentially have liquid dripping out onto you, certainly on your fingers as you're trying to get the jerky out of the package and into your mouth. And the liquid dries sticky.

Anyway, as I said, the flavor is good and I've now eaten most of mine, but I have taken to opening the package with scissors and eating them only at home so I can wash my hands afterward." +878,1351209600,B005BSPXBM,A7CV2TJJSC4E3,5,great coffee,A bit pricey once you add the S & H but this is one of the best flavored coffees I have tasted. Got my daughter hooked on it too! +879,1351209600,B001E8DHPW,A150LY3C1UEV9E,5,"Good quality, great to cook with",We have enjoyed using this product. I like it specially for cooking lightly breaded fish or vegetables. It gives a faint pleasant taste of coconut. I can hardly wait to do some tropical dishes. +880,1351209600,B0099AUJBW,A23XL2FKT1M7DT,5,"Excellent flavor, low sugar, subtle and spicy","Read the reviews and have more of a savory palate so the low sugar and spicy elements had great appeal. Followed the instructions, we make our lattes with a Nespresso machine and did 1.5 pumps into a Grande Starbucks cup (16oz), filling half the cup with soy milk (dairy issue), the 1.5 pumps of the Amoretti syrup, and then two Lungo pours from the Nespresso. So much better than a Starbucks Pumpkin Latte (which we find too sweet, if we're stuck getting one we do only 2 pumps, not the Starbucks standard 4). Subtle pumpkin with spice elements of cinnamon and cardamon. Looking forward to trying their other products. Didn't know they also make olive oils and martini mixes." +881,1351209600,B006WYSFZK,A32NC2UF34RJQY,5,Great for HS lunch,"Great for HS lunch, kid enjoy as a snack also, will buy again. Salted chips are good too, tried them too." +882,1351209600,B007HQFSMU,A2R724NAP8P0DP,5,No more Slim Jims!,"These are great grassfed beef sticks, much tastier than those I tried from another company. And after hearing Nick interviewed on Jimmy Moore's podcast, I'm impressed with his story and very happy to support his farm." +883,1351209600,B004S036FO,A370Z6I5GBWU44,1,Not what it used to be,"Hormel's Chili used to be an awesome pro0duct. When I was a kid, this chili was downright tasty and meaty, and you could add a can of beans to stretch it out, just let the chili and beans simmer for a while and you had the perfect recipe. However, that recipe has changed. There is considerably less meat in here, and what has it been replaced with? Oatmeal. This even says so on the side. I am sorry, but I am disappointed. If I want oatmeal, I'll buy Quaker. This chili is also thinner, and does not taste as good as it has before. If Hormel would go back to the old recipe, this chili would be as good as ever." +884,1351209600,B003IHO8LE,A1ZR68U4ZVLQCQ,4,Subtle yet effective,"Though I, like many, aren't happy with the price, it does work. I've been drinking the bliss and sonic versions of nuero for the past week and it has done quite a bit to boost my creativity, help my overall mood, and cut through the clutter to find manageable tasks that can be conquered. It very well may be the placebo effect but then again the effects are going to be subtle unlike energy drinks which kick you in the face and leave you jittery and wired. Its vitamins, nutrients, amino acids and such, it's not going to wash over you like warm wave of happiness, but it will subtly and pleasantly leave you feeling good (and with the sonic; productive). And no I have no affiliation with nuero and heard about this from a friend who bought it locally." +885,1351209600,B004EAGP74,A150LY3C1UEV9E,5,"Good quality, great to cook with",We have enjoyed using this product. I like it specially for cooking lightly breaded fish or vegetables. It gives a faint pleasant taste of coconut. I can hardly wait to do some tropical dishes. +886,1351209600,B000FIWIWA,A1TED4G0PWZPQV,5,You have to have these!,"Made with xylitol, and this kills bacteria in your mouth all day and night if you take these mints. Los fights candida," +887,1351209600,B000HB9TLI,A353IAF5Y1XE53,1,Don't like the taste,I do not like sour taste and this has a sour kind of taste which i don't like. The smell isn't that great either +888,1351209600,B000CQG8M6,A26DOVGY14V7NX,5,breakfast tea,We switch to this decaf tea at night for a great cup of tea and no sleep problems. Thanks for a good cup of tea. +889,1351209600,B0012KB4U2,AGQBI6601XH2R,5,Both cats love these!,They only like this brand and flavor of treat. Won't go for the soft version. One of my cats will actually stick his paw down into the canister and drag a few up the side if I hold the can within reach. I find this product reasonably priced at Target. +890,1351209600,B0027E0XGS,AKKQ4GKRGROGG,5,mint julips,"The syrup I got from Oak Alley Plantation for making my own mint julips was so helpful in recreating the drink I had while at Oak Alley Plantation in Vacherie, LA drinking a mint julip on the verranda of the plantation...it made it taste as good as theirs was. It came tightly packed so as not to break and I always feel like I am back there on the verranda when I have a mint julip." +891,1351209600,B0029O6YK0,A3RKYD8IUC5S0N,2,Messy and apparently undelicious,"My cat is not a huge fan. Sure, she'll lap up the gravy, but leaves the little meat-like bits as dry as a bone. It feels like saving money, but not if your cat is only gonna eat cornstarch gravy and turn her nose up at the meat by-products. It's probably fine for a grocery-store food, but a better quality food will make your cat happier and maybe healthier. Also I can't imagine gravy has got the nutritional content my cat needs.

Pouches seem like a great idea compared to messy, annoying cans, until you can't figure out a way to get the stuff out of the package without getting gravy all over your hands.

I switched to Merrick cat foods and my cat is happier--she doesn't leave lots of uneaten bits." +892,1351209600,B003P9XFTG,A1X4OJBDP7HMTZ,2,Blue Buffalo Wilderness,"Very disappointed with this product. I've read so many positive reviews and opted to purchase a bag of this pricey food as a treat for my eight cats.

l. Didn't make sure shipping was free under my ""Amazon Prime"" and ended up paying $6.00 and some change.

2. NONE of the eight cats like it. They sniff it and walk away. Even the half feral one won't chow down on it.

Overall, a total waste of money. Guess the possums will eat it." +893,1351209600,B008YA1NWC,A2O4V3MCB7EPPU,4,One of my favorite K-cups flavors,This is one of my favorite k-cup flavors. The coffee roast is mild and has just the right amount of coconut flavor. It is not over powering or cloying. I like to brew this on the second to largest size setting (on my machine) and add one splenda and liquid carmel creamer. It sounds like a weird combo but it's really good. It's my Saturday morning go to coffee combo. +894,1351209600,7310172001,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +895,1351209600,B00472I5A4,A32NC2UF34RJQY,5,Great for HS lunch,"Great for HS lunch, kid enjoy as a snack also, will buy again. Salted chips are good too, tried them too." +896,1351209600,B002QZ3XKG,A18PSXOI64YFZC,3,its delicious...,I was surprised at how delicious these toasted chips are. They ship well with little damage. I have ordered them several times. Also they are very fresh. Not one bit was left in the bag when I got through. +897,1351209600,B000MBN5TK,A1W2QH1LI4YQR4,5,Yum!,"I'll never go back to regular taco seasoning again! I use this for tacos, taco salad, and I've heard it's even good in chili--though I haven't had a chance to try that yet. This seasoning does not rely on chili powder for the main flavoring and is a refreshing change from the same ol' same ol' taco seasonings." +898,1351209600,B004WZ4EW4,A2IQ7EI0PHDE8J,2,Tasty but not truly raw,"These taste great and it's nice to see they've come out with some naked seaweed without anything added. However...I've had raw seaweed before, and I seriously doubt this is raw. It is crunchy which probably means it's been processed at high heat, which is also common for many products that claim to be raw. Truly raw seaweed has a crispness to it but is still fairly chewy and more difficult to break apart. I read the label and it says nothing about what temperature it is processed (other companies who manufacture raw items typically provide this information). I knew I bought it at my own risk, and am disappointed since I like this company." +899,1351209600,B009B87TKG,A1BSGNCHEI1PJI,5,No upset tummy!,I have a large breed and a small breed. The smaller has an extremely sensitive stomach and throws up every food we try. Finally we have found something that is for our older dogs and great for our little guy's stomach! +900,1351209600,B000BH1NRG,A3O0K07D6EDMSB,5,Excellent,Great product at a good price. Will definitely be ordering this product again once it's all used up and the bottles empty. +901,1351209600,B007OSBE1U,A2R28IOP06EH4X,2,No Consistency,"I purchased the variety pack of Martinsons and the Brown Gold they are both from the same vendor. I did not like the taste of the Martinson product at all. I threw it away, not the product I expected at all. The Brown Gold was more palatable, however certain flavors with this brand also feel short in particular the Costa Rican named product was extremely too bitter. I would agree with most that this does give you a lower cost per serving, but when the coffee is inferior and the taste match is also, I think the best descriptor is cheap." +902,1351209600,B000F4D5GC,A13P5PAZMA5ENT,5,Good buy,"I have been using lots of coconut lately in granola, cakes, cup cakes etc. and this particular brand serves my purpose very well.
The price is very good." +903,1351209600,7310172001,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +904,1351209600,B00765PU2K,A1HZOO8M8RMQUR,5,Just what I expected!,"I bought these in order to make vanilla and kahlua for Christmas gifts. They were moist, yummy-smelling beans. If these experiments work, I'll be buying again for next year!" +905,1351209600,B0099AUJBW,A36L1OMFLJ1ZX6,2,How did u make it??!!!,"I have seen lots of reviews about how bitter the taste is with coffee, may be I should have listened to them....not happy with the result." +906,1351209600,B003XB5LMU,ACMKAF8Q8U9ID,3,Not so much soyi but nice,"I was really looking for a soy sauce substitute, it does not quite meet my expectation. It's okay.

Dr. L" +907,1351209600,B009NN54I8,A34VJC9PA5FPA4,4,NTune@60,"I heard so much about this Chicago Mix popcorn from people who visited Chicago I decided to see what all the fuss was about. When I saw it on Amazon, I had to try it. It lived up to all that I had heard. I could not stop eating it! I have recommended it to many others. It makes a good gift for friends or co-workers or a special little treat for yourself." +908,1351209600,B000CR41MO,A3FH318GY52DC7,5,Best I've Ever Had,"I have eaten all kinds of popcorn for many years. Many years ago, we made popcorn the old fashioned way; in a pot on the stove. I remember it being crisp and crunchy. Then, along came microwave popcorn. I tried many different brands and none of them had the same crisp, and sometimes they were just plain mushy. I thought this was just a common attribute among microwavable popcorn products until several years ago when I tried making it the old fashioned way with the same results.

What I have come to realize is, it's not how you prepare the popcorn, it's whether or not it's ""organic."" The first time I tried ""Newman's Own,"" it had that crisp and crunchy texture that I remembered from so many years ago. Perfect!" +909,1351209600,B000LKXJEI,A2YRK0YLBN5CC2,3,"Good flavor, but a wet mess","I got the teriyaki flavor and, while the flavor is good and the texture is also good once you get it into your mouth, it can be a mess getting it there. As other reviewers have noted, this is not like your typical dry jerky. It seems more like something that would be created by the company that makes SlimJims or something - it's moist and chewy. The individual packets don't tear easily, either, despite being notched at the end. You know how sometimes plastic can tear very cleanly, but sometimes it turns into a ragged edge and becomes a struggle? That's what happens with these 8 times out of 10. So if you're out and about (not near a sink) and you try to open it and the tear doesn't work perfectly, you potentially have liquid dripping out onto you, certainly on your fingers as you're trying to get the jerky out of the package and into your mouth. And the liquid dries sticky.

Anyway, as I said, the flavor is good and I've now eaten most of mine, but I have taken to opening the package with scissors and eating them only at home so I can wash my hands afterward." +910,1351209600,B004M0Y8T8,A2QJS6MHTIFSRI,5,Sleeping a lot better,"Hubby and I (both 63) have been drinking about 4 oz a night for a few months now. We both found that we are falling into a deep sleep faster and for a longer time (eliminating the 2 or 4 am wake up). My sister and her hubby also tried it and like it very much for the same reason.Indian Summer 100% Juice, Montmorency Cherry, 46-Ounce Containers (Pack of 8)" +911,1351209600,B001YJ6L2C,A2Q37C49S3FZLH,5,All Around Great!!!!,The almonds taste great. The dark chocolate coated on the almonds makes em taste even better. Almonds and dark chocolate are both heart healthy which is exactly what i was looking for and got it all for a great price..... WINNING!!!!!!!! +912,1351209600,B001M0AKE8,A07112861KSNE1D0ZA1NO,4,Quaker Instant Oatmeal Dinosaur Eggs,"This has been a firm favorite at breakfast time in our house for many years. When you can pick it up at this low price for a 4 pack, it seems to taste even better." +913,1351209600,B003QNLUTI,A2E2F8WSUB33VE,5,Excelent,"Good price, flavor, fast delivery And good presentation overall. Very eficient when playing golf, it really gives extra Energy and it helps to achieve a better game" +914,1351209600,B0002DGRSY,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +915,1351209600,B0002DGRSY,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +916,1351209600,B003QNLUTI,AYTSBGA5A3UWI,5,A God Sent Remedy!!!,I love this stuff! It's a God sent Remedy for hangovers!.... I understand the health concerns many people have and I can also see that this can be habit forming. I make sure I only take one every so often and not everyday. +917,1351209600,B004ZEL1BO,A23UMGC3IY4B78,1,TOXIC INGREDIENTS! WILL RETURN....,"After reviewing the 3-star review on Amazon, I checked the label on the container. Sure enough, this product contains propylene glycol!!!! as one of the top ingredients!! I've done some research also and found that propylene glycol is toxic to pets and people. Please do your research.

BOTTOM LINE: I WON'T FEED ANYTHING TO MY PETS OR FAMILY THAT MIGHT HURT THEM. THERE ARE TOO MANY HEALTHY TREATS ON THE MARKET." +918,1351209600,B001PQOB4O,ARF9K2APJHAH3,5,Best cornbread mix ever!!!!,Great corn bread mix.Perfect for thanksgiving.It is a seasonal product so stock up.Expiration date is up to 2 years .Way cheaper at Costco though. +919,1351209600,B007IEGRB2,A8M34GMW5GF6D,4,girls bettlejuice costume,Fit perfectly. Size is true. Expected exactly what was described online and that's exactly what i received. Would definitely purchase another item in the future. +920,1351209600,B004O8KBK8,A1JPKFGGF128X1,5,Yummy and Healthy,Loved the cranberry-like flavor and slightly crunchy texture. Worked well with wheat bread. A little on the expensive side but my kids like it too. +921,1351209600,B0016JJEFG,AO9WE22147CRH,1,bad tasting tea,"We drink a lot of tea... from all over the world! By far this is the worst tasting tea we have had... I purchased this based on reviews and because this is organic. When compared to st dalfour organic tea... this tastes like Lipton caffeine free tea from Costco! I HAVE always gone with reviews before buying anything online, but this particular tea is no good, At ALL. And Costco returns is better than amazon for so much of something so bad!" +922,1351209600,B003TC7WN4,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +923,1351209600,B007TJGZ54,A29BJSTYH9W3JI,5,super coffee,Great coffee and so easy to brew. This coffee has great aroma and is good to the last drop. I actually like all the brands. This is the way coffee should taste!! +924,1351209600,B004J402A6,A2OGEXIK9IG4WU,5,Love this coffee...,This is the best coffee ever! Wish I could order a box of 100 at a time as we go thru a box of 80 in about a month and a half. Buying it online is soooo much cheaper than buying at the grocery store. +925,1351209600,B004VLVFFI,A2HIF50JQB4G2W,5,Great product!,"Made a batch of sourdough rye and it got rave reviews. Currently have a light and a dark rye starter, making marble rye this afternoon!" +926,1351209600,B0062P9XPU,A33KQALCZGXG8C,5,Delicious!,"I am not a huge beer lover. I do enjoy an occasional Blue Moon (all of the varieties are good!), but recently ate at a Brazilian restaurant...and had one of these beers...been looking to purchase it locally but no one carries it! It looks like it will be a heavy, bitter beer, but the taste is actually light and the flavor excellent! I found it on this website and will be ordering 2 six packs!" +927,1351209600,B000Y2CT6M,A4QPC05GM1H32,5,Fantastic Instant Refried beans,Fantastic Instant Refried Beans have been a staple for my family now for nearly 20 years. All 7 of us love it and my grown kids are passing on the tradition. +928,1351209600,B005K4Q1YA,A3TXT588J6OR0Y,5,Love this stuff!!,I Have been ordering this k cup cappucino drink for awhile now and have never had a problem! Love it tastes good! +929,1351209600,B004X71550,A1EEGOM5ZQVD81,4,Finally!,"At last a sweetener with hardly any of that nasty aftertaste! There is a very slight aftertaste but not the same as the others. (It is acceptable in my opinion!) Sweetens like sugar, only slightly sweeter, so don't use quite as much. This Swerve product is too expensive, which is my only real complaint, which is why I rated 4 stars and not 5." +930,1351209600,B000EUF9CK,A3P7UANHKLNW7H,5,I was very surprised,"After hearing about the health benefits of dark chocolate I decided to buy some at our local health foods store. I did not buy this on Amazon but wanted to comment. I was very surprised by this chocolate. I will admit, at first I was thinking "" omg, this tastes nothing like chocolate"" BUT, it's 88% cocoa and since I've never really had any other dark chocolate except the hershey bar, I didn't really know what to expect. I'm not a baker too so give me a break:) Anyway, this is definitely growing on me, I had my second piece today, I bought the little pkg of 10 individually wrapped squares. It is very good and you definitely should let it melt in your mouth and savor the flavor, like another reviewer stated "" like a glass of wine"" I will definitely be buying more of this. And for those that say ""yuck!"" It's not your typical candy bar, it's more of a delicacy per say." +931,1351209600,B005K4Q34S,A3TXT588J6OR0Y,5,Love this stuff!!,I Have been ordering this k cup cappucino drink for awhile now and have never had a problem! Love it tastes good! +932,1351209600,B006N3I3Q6,AO4IX8RD1ZP8M,5,Very very good coffee,"Green Mountain Coffee Fair Trade Organic Sumatran Reserve, K-Cup Portion Pack for Keurig Brewers This is a real treat for a coffee snob! Not only is this a great coffee overall, but even compared to other Sumatran coffees and Sumatran blends this one can hold it's own against most other roasters. I enjoy it better than both the Sumatran offerings from Starbucks. I would say it is right on par with the caribou Sumatran product. only ones that I have enjoyed even a little more were products from Cats Ass Coffee harvested from animal droppings (Kopi luwak)at over $150 a pound 0.o and the Sumatran offered by S&D... But the S&D product is hard to find or discontinued/seasonal. I would tell friends and Coffee people all over to try this! (And yes, I grew up in Portland and Seattle so I just may know better than you) :P LoL

Enjoy!" +933,1351209600,B001C4PKIK,A3IMXYITIO8WHN,4,Great food!,"I wanted a food for a a dog with skin problems. His skin greatly improved with the switch, though he still itches some. He loves the food. No recalls, American made with American ingredients was a big plus (no Chinese poisoned food). I took off a point for availability, which increases the price. Fortunately he is a small dog and the food lasts a while. He has done well so now feeling safe to expand the diet to other flavones in this line for variety." +934,1351209600,B0051WBSWG,A1IK1XYGTNVLOW,5,Great service,Not only is the popcorn terrific and as advertised (hull less) but the order arrived early thanks to their fast and efficient service. Yep! We will do much business with them over the coming years. +935,1351209600,B007OSBEV0,A2R28IOP06EH4X,2,No Consistency,"I purchased the variety pack of Martinsons and the Brown Gold they are both from the same vendor. I did not like the taste of the Martinson product at all. I threw it away, not the product I expected at all. The Brown Gold was more palatable, however certain flavors with this brand also feel short in particular the Costa Rican named product was extremely too bitter. I would agree with most that this does give you a lower cost per serving, but when the coffee is inferior and the taste match is also, I think the best descriptor is cheap." +936,1351209600,B004MBJPV8,AG7EPW4BU9SG4,1,Disappointed...,"I should read the fine print, I guess. I mostly went by the picture and would have NEVER paid $6.40 for a single lollipop, which is exactly what I got. One. $6.40. Shame on me for not paying closer attention. I will keep it because it is a hassle to send back ONE lollipop. Jeesh!" +937,1351209600,B001LUM1ZU,A3HJN5HU71FQIT,1,God Awful,"As a dabbler who enjoys spanning the entire spectrum of taste, I am more than willing to try anything once. Both as a food aficionado and a lover of bacon, I just had to pick this up. One taste caused me to throw out my sandwich, and subsequently throw out the entire jar of unused mayonnaise.

I would give this less than 1 star, if I could.

Steer clear from this unless you're a major tool who has no sensibility past buying bacon-everything." +938,1351209600,B0013N6YWG,A3IMXYITIO8WHN,4,Great food!,"I wanted a food for a a dog with skin problems. His skin greatly improved with the switch, though he still itches some. He loves the food. No recalls, American made with American ingredients was a big plus (no Chinese poisoned food). I took off a point for availability, which increases the price. Fortunately he is a small dog and the food lasts a while. He has done well so now feeling safe to expand the diet to other flavones in this line for variety." +939,1351209600,B000CQG8B2,A26DOVGY14V7NX,5,breakfast tea,We switch to this decaf tea at night for a great cup of tea and no sleep problems. Thanks for a good cup of tea. +940,1351209600,B007OYUZIM,A3F01F8QHNBAZC,1,Just Bad,Watery and unpleasant. Like Yoohoo mixed with dirty dish water. I find it quite odd that Keurig would release a product like this. I'm sure they can come up with a decent hot chocolate and not this swill. I had one pod in a sample pack so at least I didn't buy a whole box of them. +941,1351209600,B0001IOSCM,A25YYMCNXA2RC0,5,Simple and Authentic,This is a fantastic do-it-yourself poke product. Just add sesame oil and green onion for color then enjoy your authentic Hawaiian treat! +942,1351209600,B0001HAEJY,A289SYWE4BHCF,5,Great!,"Very good product, great for your blood! You will love it and AIMS are wonderful products!!!! I would definitely order this product again. Everything came in a timely manner, free from any damage!" +943,1351209600,B001EPPXRK,A1L1T27A33DDP6,5,"Colorado Spice Orange Peel, Fine Cut",It was more then I needed but I'm glad I bought in bulk. This product is as described and saves me the time of removing the pith and cutting the peel myself. I like the flavor the orange adds to my cooking and so do my wife and kids. Thank you for this great time and money saving product. +944,1351209600,B001EPPBE0,A21N20QGFUWFEC,5,Wonderful,Came quickly. Was plentiful and delicious and cheaper than in the store. You will enjoy it if you like thick pasta. +945,1351209600,B0005XNXB0,A36AUU1UNRS48G,5,"Hands down, the best cajun seasoning. Ever.","I was a Tony Chachere's fan for a long time, so I wasn't about to be swayed by someone's claim that Konriko was better. The nerve! But one day, the grocery store was out of TC's. I had to have something, so I bought Konriko's. And I've never gone back. I now have to order it online at unheard of prices because the grocery store no longer carries it, but I do so because it really is the best. It's the perfect blend of salt, spiciness, and FLAVOR. I've tried other cajun and creole seasonings that were saltier or hotter (or both--I'm talking to you, Tony Chachere's More Spice!), but none were tastier. Makes the best blackened chicken." +946,1351209600,B001J9QBU4,A3UOYYQS5Z47MS,5,Morning Coffee,Great coffee at a good price. I'm a subscription buyer and I buy this month after month. What more can I say? +947,1351209600,B00028LU40,AUEA2NJHMK9DF,4,Like this tea,This tea has a nice flavor although I wish it was a little stronger. I have brewed way it states and even tried letting it sit longer to get a stronger cup but it didn't work. Am pleased with purchase and flavor overall. +948,1351209600,B008GG2N2S,A1CLUIIJL6EHLU,5,delicious,"Gummi Frogs have been my favourite candy that I have ever tried. of course, they only came in 5 ounce bags, there are about 3 bags to make 1 lbs so not only do you get more in one bag but spend a lot less here. These are original haribo candy, not some replica from another company." +949,1351209600,B004QDA8WC,AFF6F08FRSYWG,5,Love chai - love Keurig - love these K-cups!,I'm addicted to these chai k-cups. It tastes sooo good and much cheaper than fixing my chai cravings at Starbucks. Highly recommend!! +950,1351209600,B004TJF3BE,A2TZKSY1ZWPOU9,5,Great Hot Cider!!!,It is hard to find much of anything sugarfree that really tastes good but this apple cider is the best. I also love the regular hot apple cider in sugarfree form. +951,1351209600,B001ACMCLM,A2PCNXBSKCABG5,4,GOOD GLUTEN FREE BREAD STCK MIX,Makes very good break sticks.. Also can be used for a pizza crust.

My wife is a celiac so we both enjoy this either as bread sticks or pizza crust. +952,1351209600,B004LM9KHW,A1AOOCCQ27K9IT,3,French Vanilla Wolfgang Puck,"Product is easy to use.... Just cut or tear pack open and place into the coffee pot. But I definitely did not think that the flavor was particularly French Vanilla, even with French Vanilla creamer. It felt ""heavy"" on my tongue and had a ""dark"" coffee flavor which I believe overcame the French Vanilla flavor. I was very disappointed that I had paid so much for so little flavor. Additionally, when I tried to return the products, the site informed me tht they ewere not returnable (Even the unopened packages)." +953,1351209600,B000LKU3A6,A2YRK0YLBN5CC2,3,"Good flavor, but a wet mess","I got the teriyaki flavor and, while the flavor is good and the texture is also good once you get it into your mouth, it can be a mess getting it there. As other reviewers have noted, this is not like your typical dry jerky. It seems more like something that would be created by the company that makes SlimJims or something - it's moist and chewy. The individual packets don't tear easily, either, despite being notched at the end. You know how sometimes plastic can tear very cleanly, but sometimes it turns into a ragged edge and becomes a struggle? That's what happens with these 8 times out of 10. So if you're out and about (not near a sink) and you try to open it and the tear doesn't work perfectly, you potentially have liquid dripping out onto you, certainly on your fingers as you're trying to get the jerky out of the package and into your mouth. And the liquid dries sticky.

Anyway, as I said, the flavor is good and I've now eaten most of mine, but I have taken to opening the package with scissors and eating them only at home so I can wash my hands afterward." +954,1351209600,B008JA73RG,AFJFXN42RZ3G2,4,Neither too sweet nor fizzy,"V8 V-Fusion may appear to be the typical energy drink that is available today, but the difference between V8 and drinks such as Red Bull, this drink contains vegetable and fruit and 50 calories. This may be a nice alternative to carbonated sodas or sugary fruit juices because it contains nutritional ingredients that may provide a bit of energy for the day. The drink contains fruity peach mango flavor, green tea, and vitamin B, but also a concentration of potatoes, yellow tomatoes, and carrots.

With the natural energy that V8 V-Fusion provides, one may want to switch from the regular cup of coffee or fizzy pop that usually contains the energy for the day. The taste is satisfying, not too sweet, fruity, acidic, or watery. And after trying the 8 fl. Oz. Can, one may not be enough, however, the contents warn that it may not be recommended for children, women nursing or pregnant, or individuals watching their caffeine in take. But one recommendation, chill the drink before serving." +955,1351209600,B000MUT928,AMV75AVRSNM0L,3,Crunchy strong and ok taste,"I thought the pocket coffee was good, not sure I'll order them again though. It definitely has a coffee flavor and is a strong flavor, has a little bit of a crunch to it, but it's also has a bitter after taste which might be reason it's not what I expected." +956,1351209600,B0007PNKRS,A1TED4G0PWZPQV,5,Came as expected,It was tasty and fresh. The other one I bought was old and tasted moldy. But this one was good. +957,1351209600,B0006349WQ,A21BT40VZCCYT4,5,Good Training Treat,My dog will come in from outside when I am training her and look at the cupboard waiting for her treat. When I use the clicker training method she comes because she knows she has something special. +958,1351209600,B001ANXL84,A3NZ74QTATJ45W,5,Best electrolyte replacement drink,"I'm a disabled Vet with 80% of my kidneys gone. I'm on heavy water pills that deplete my essensil fluids. Cramping is my worst result. I started drinking Vitalyte, a glass four times a day and the cramps are gone! I sleep all night without having to get up and walk off leg and foot cramps. This is the greatest stuff I have ever tried. Makes Gatorade and the other 'kid' stuff a waste of my time and money.

When a physcial therapist told me about 'Gookinaid' I thought he was pulling my leg. But I bought it and tried it and I'm sold. I buy anywhere from 4 to 6 tubs a month. I fill water bottles and carry them in my car for trips. My wife even drinks it and has felt the great affects. If you have cramping or feel a bit run down, give this a try it does wonders. Our favorite flavors are Orange and Grape. Do yourself a favor and give it a try." +959,1351209600,B008TZJUOA,A1LHOKYENR7HP2,5,Cute!,"Bought these to decorate cupcakes for a kid's Halloween party. They are very cute, look like the picture, as advertised!" +960,1351209600,B0006349WG,A21BT40VZCCYT4,5,Good Training Treat,My dog will come in from outside when I am training her and look at the cupboard waiting for her treat. When I use the clicker training method she comes because she knows she has something special. +961,1351209600,B000LKYRXK,A2WVF9ZQ068DN0,5,TERRIFIC multigrain for baking,"Although I first purchased this cereal to use as a hot cereal, I do not care for the mushy texture of the cereal. The taste, however, is TERRIFIC. The cannister included a recipe for muffins made with the mix. I tried them and they were TERRRIFIC. I then went on to make a batch of oatmeal raisin cookies using the multigrain cereal instead of oats. They were TERRIFIC. Moving right along through my recipe box I added some of the multigrain cereal to a pumpkin bread recipe. Can you guess? It was TERRIFIC. Lasly, I may not enjoy eating this cereal solo, but I find using half steel cut oats and half multigrain cereal makes a TERRIFIC porridge.
In looking at others reviews I see that most people love this as a cereal. Texture is a personal preference and I think people who enjoy creamier cereals will enjoy this as well." +962,1351209600,B007TJGZ5E,A3UOYYQS5Z47MS,5,Morning Coffee,Great coffee at a good price. I'm a subscription buyer and I buy this month after month. What more can I say? +963,1351209600,B000O3KMKG,AAB6ZMWFCK4GO,5,Excellent,The Premium Bourbon Madagascar Vanilla Vannila Beans were exactly as described in the ad. They arrived promptly and I have made my first batch of homemade French Vanilla Creamer with them. They are wonderful. +964,1351209600,B000P07YA4,AVN9NG27SPISS,1,New Recipe is Awful,"These used to be my favorite animal crackers but Austin has recently changed their recipe to a ""new and improved"" version and as a result, what was once a tasty snack now tastes like cardboard. The old version had a hint of lemon and the new version is completely tasteless and leaves a horrible after-taste in your mouth. Nice going Austin. Won't purchase again. Austin needs to take a lesson from previous companies that tried to change what was already good and go back to the original." +965,1351209600,B003KLT05C,A36SZQV6KFCY6B,5,great healthy and yummy i love love love,"these crackers are delicious . i absolutely love them. my dr is a runner ,very healthy man. i took some in and gave him a box and he loved them. he also told me they were very healty. im a diabetic and they are low in carbs and very healthy-just a yummy treat" +966,1351209600,B007TGO1TY,A1N655X9X7C6QY,4,Its LIGHT but very nice sweetener,"This Nectresse Sweetener is rather light in taste --but is very nice over other light foods such as fruits , berries , melons -----anywhere that lightness yet sweetness is desired.

I also enjoyed it in iced teas .....especially my fruited teas like strawberry or orange.....

I also used it hot teas as welll---but since it was summer more cold drinks went to table than hot.But it would be great on and in either.

I did not try it as a cooking sweetener because of its smaller sized containers....so I cannot recommend it for baking or cooking.

I can and whole heartedly DO RECOMMEND it for any type of sweetening where its to be sprinkled over such as cereal , oatmeals ect.......or in drinks of any type...and fruits as I mentioned earlier !!

NO bad tasted only nice sweetness !!" +967,1351209600,B007TGO1TY,A2LEO7WT1VIMKZ,5,This stuff is great!,"I'm surprised to see so many negative comments about this product. I don't notice any kind of aftertaste nor do I notice this ""cooling effect"". So far I've only had this by itself (just to taste it) and in coffee. Both experiences were positive. Look, it's not really that much money to try it, so if you want to avoid sugar and don't want something like Slenda (or Stevia -- yuck!) then why not give Nectresse a try?" +968,1351209600,B005IOXBY0,A1ORVAUR5C5N8X,5,WOW.....,"This chocolate is amazing..I love the taste and smell, this is the only chocolate for me...I found a new love!" +969,1351209600,B000255OIG,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +970,1351209600,B000255OIG,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +971,1351209600,B000IHNCQO,A2DFSA2JXQKVY3,4,Not bad.,"These are small and very salty. The taste is good, but very strong, so it's a good thing the package contains a small amount. It only takes a few little crisps to cure my salty/crunchy craving. I can snack on one package for an entire day. Of course these would not be a good snack if you're very hungry, because there isn't enough there to fill you up. For less than $1 per pack it's an okay deal." +972,1351209600,B005C7R8HE,A3MAVAV6Q37XT5,5,super,I love this coffee! And such a great price. Will buy more when I am running out which will be soon. +973,1351209600,B003Z6W32E,A2GW6JUVTALDPV,1,I did not receive my order,"I placed my order through Amazon and after about 10 days inquired about my order because it had not shipped. I received an email back from Starbucks that my order had been canceled. No explanation at all, just that it had been canceled. I checked back on Amazon and see that this item is still available but they had raised the price.

So instead of honoring the price they just blew me off like the sale never happened. Shame on Amazon for allowing a seller to do this.

Bottom line, Amazon has gone down a few points in my eyes. Greedy Starbucks can keep their coffee." +974,1351209600,B00934SOFM,A37WARPJ0CCFHU,5,Love It!,"If you've never had a BCalm before, you've gotta try it. It's really the perfect drink for relaxation. Good for a stressful day in the office, a day at the beach, or pretty much anywhere you are. As a commercial director, I'm on set all the time. And while coffee is great early in the morning, there's really nothing better than a BCalm (or two) in the afternoon. Keeps me going, while putting me at ease. Definitely give it a shot!" +975,1351209600,B004ZY34NC,A4IL0CLL27Q33,1,Buyer beware,"Nespresso makes GREAT coffee and GREAT machines. I switched over to a Nespresso machine 7 years ago and have never looked back. I save a small fortune every year by making my lattes at home.

That being said, the Nespresso capsule offers posted here are from a third party who is putting a large additional margin on their price.

You can order the same products online from Nespresso for approx $0.55 each (half the price here)." +976,1351209600,B0002LY6W0,A1BX08Y0GIT5RU,5,The BEST fig spread on the market,This is my go to spread when I serve a cheese platter. This goes well with soft cheeses like goat or brie. Spread it on a cracker or a slice of a baguette. Simply delicious. It's worth every penny. The texture is perfect and it's not too sweet. I highly recommend this product. +977,1351209600,B0002YW26E,A506HOOCVL8GW,5,You won't believe what you'll catch!,"I have been using this product for many years. It is a great non-poisonous method of controlling the insect population in and around your house.

I could not believe all that I caught. Spiders, roaches, earwigs, a poor lizard, more spiders, more bugs... Just put them in corners along the baseboard and check them periodically. Mine filled up in no time with nasty critters.

You will not be disappointed with this item if you are looking to catch bugs." +978,1351209600,B000WSHV1Q,A1YT628H711FN7,5,Great Treat,My cats love these. They are very hard to find anywhere but here. They used to be available in the pet stores but no longer. Must refrigerate after opening. They are a little pricy but a healthy treat for your cat. +979,1351209600,B000LNC3YM,A1AFTFG64H6UYH,5,Hoping it's all it promises to be!,"The tea leaves arrived in perfect condition with clear instructions for use. I've made and drank two batches of the tea ( each makes four 8-oz cups) and I assume all the health-giving properties are doing their thing! The tea itself is bland and pretty tasteless. I drink it icy cold and it's like drinking water - no better, no worse. People can add sweetener and drink it hot or warm also, but I just drink it in place of one of my usual water beverages because that is what I prefer. It's a health drink and I can't imagine anyone disliking it, and that's the main thing. You don't have to hold your nose and choke it down. It's fine." +980,1351209600,B008GQ40UQ,A1YDQ8I5KVNF8P,5,More Like Pepsi,"There is a lot of cola syrups trying to be Coke but this one is shooting for Pepsi. It comes close to Pepsi but of course not a bull eye just like cola syrups can't be Coke, both Coke and Pepsi own the recipes for their drinks. Now that said this is a very good tasting syrup and not a hard or sweet taste like other cola syrups but more mild flavor. My sister is a big Pepsi drinker and she likes this lot more that other cola syrups, she doesn't like Coke. I think we will be sticking with, it seems this is the only syrup trying to be like Pepsi. Again got the package in great shape and very fast, just wish the shipping could be lower. So if you're not a Coke drinker and want a syrup more like Pepsi, you found it!" +981,1351209600,B000NCXHFA,ATMTE0BSP7W6S,5,Mung Beans for sprouting,"I wanted to feed my chickens, turkeys and goats just a little extra protein to keep them fit and healthy while the goats are pregnant over the winter and the chickens and turkeys are getting ready for breeding season. Sprouts seemed like a good idea but everytime I tried to sprout regular beans they would go bad before the sprouts were big enough to interest the poultry. So I saw that the ones I was eating out of can were grown from mung beans. Never heard of them before but thought I'd give it a try. The beans took longer to get here than I would have liked (almost two weeks) but that just tells me the time frame I need before I order more. And the beans!!!! Oh my goodness, you'll get 100% germination and sprouts that are easily eaten and really quite yummy in just three days. I need to get a bigger growing apparatus so that I can make more at one time. The chickens, turkeys, goats and even my pregnant cow LOVE the sprouts. I've found the extra source of protein I needed. Thanks so much." +982,1351209600,B005XGH78E,A2YGWCOC3LM3KH,5,Great flavor - spicy but not too hot,"I got some of this from a low sodium foods website. I can't believe how much flavor this has for only 170mg per oz. I am on a strict low sodium diet and I don't like foods where they have simply left out salt (bland) or they cheat and add potassium chloride, something just as bad as salt to my diet. So I am constantly on the hunt for low sodium foods that are naturally that way. This is a perfect cure for my salty food cravings. I haven't tried the other flavors yet but I plan to." +983,1351209600,B000I6626C,AKTTN6RMV3XMW,5,Delicious .,"These plums are sweet and juicy, and the aroma is like perfume. And it doesn't hurt that they are good for you, too." +984,1351209600,B008GQ40UG,A1YDQ8I5KVNF8P,5,More Like Pepsi,"There is a lot of cola syrups trying to be Coke but this one is shooting for Pepsi. It comes close to Pepsi but of course not a bull eye just like cola syrups can't be Coke, both Coke and Pepsi own the recipes for their drinks. Now that said this is a very good tasting syrup and not a hard or sweet taste like other cola syrups but more mild flavor. My sister is a big Pepsi drinker and she likes this lot more that other cola syrups, she doesn't like Coke. I think we will be sticking with, it seems this is the only syrup trying to be like Pepsi. Again got the package in great shape and very fast, just wish the shipping could be lower. So if you're not a Coke drinker and want a syrup more like Pepsi, you found it!" +985,1351209600,B000O9T4FY,A3MCEVAFHA7I7S,5,Good Buy,"I liked the beans. They were vacuum sealed, plump and moist. Would recommend them for any use. I personally split and stuck them in some vodka to make vanilla extract. Yum!" +986,1351209600,B000FMZO8G,A1EBWGUV88OZ2G,5,Great snack!,Love the snack and very affordable!I bought them to get a better price than at the store and saved $1 per bag! +987,1351209600,B003ZURM80,A1O6MADFNBRX7H,5,5 Star Tea at a super price!,This tea is very good and perfect for the price....you can't go wrong with this product. A must buy for the tea lover. +988,1351209600,B00529PFX6,A3H4L7TJKQHW4Q,1,Expensive,This is too expensive and very tough and salty. I tried a piece of this and did not care too much for it. Even some traditional beef jerky's are easier to chew than this. +989,1351209600,B0040J7HIU,A2VB92E7TA6EUH,3,not 40 bars,There was NOT 40 bars in my box. I opened the box and the bars were all over the place like they were tossed in there and not lined up to keep count. I got 36 bars...I counted twice +990,1351209600,B005YVUHU8,A2W0G89O7E9EFO,5,Awesome!!!,This flavor is the best ever!!! It tastes better than an orange Julius. Smooth and creamy - no grit at all!!! Thanks for an awesome product. +991,1351209600,B001A43E6M,A32UNJZRBQENQW,5,Arizona Green Tea with Pomegranate & Acai,I love the convenience of the mail order process as I cannot locate this product in any super market in my area. +992,1351209600,B002TAEGHC,A295JS81QH2401,5,Supurb,"I was introduced to Lagavulin 16 three days ago. I'm no single malt Scotch authority, but this was straight out delicious; better than anything I've tried, including highly-touted and expensive products served at Robert Burns tastings. Microsoft: put ""Lagavulin"" in your dictionary." +993,1351209600,B003SO4EK2,A2MX8A4AODGYP3,4,"I prefer this, but Postum IS back","I like this blend, use it lightly for a nice nighttime tea with almond milk and honey. But I noticed people bemoaning the loss of Postum, and wanted to let you know that it has returned. The new company got the trademark and says it tastes the same. You can read about it at postum dot com" +994,1351209600,B003E728CE,A2I606SLG4SWHF,5,Perfect for Giving Medications to Our Dogs,"Every month, we give our three dogs (two Aussies and a Golden/Flat-Coat Retriever mix) pills for flea/tick/worm repellant. In addition, one of our Aussies needs daily thyroid pills. We found Pill Pockets is the very best way to do this. Opening the mouth wide and trying to put the pill waaay in the back of the mouth before clamping the jaws shut and massaging the throat until the poor dog swallows is a bad thing to do to a beloved pet. It's bad because Pill Pockets make this chore a happy and delicious time for the dog involved. The Pockets (in the pet store we use) come in chicken or beef flavors, so we alternate flavors every time we buy a new supply. Everybody is happy, and the dogs get the required meds." +995,1351209600,B004OQLIHK,AKHQMSUORSA91,5,Delicious!,I have ordered these raisins multiple times. They are always great and arrive timely. I can't go back to store bought chocolate covered raisins now! Love this product. +996,1351209600,B0006349W6,A21BT40VZCCYT4,5,Good Training Treat,My dog will come in from outside when I am training her and look at the cupboard waiting for her treat. When I use the clicker training method she comes because she knows she has something special. +997,1351209600,B00611F084,A6D4ND3C3BCYV,5,Jamica Me Crazy Coffee,Wolfgang Puck's Jamaica Me Crazy is that wonderful blend of island flavors in a coffee. Have loved it from the first time tasting. Great product. +998,1351209600,B005QKH5HA,A3LR9HCV3D96I3,5,Party Peanuts,Great product for the price. Mix with the Asian rice crackers for an excellent snack. Big container lasts a long time. Only lightly slighted. Peanuts are whole and large. +999,1351209600,B001EQ5GEO,A3VYU0VO6DYV6I,5,I love Maui Coffee!,"My first experience with Maui Coffee was bringing it back from Maui as a souvenier. I called Maui Coffee Manufacting to order more, Shipping was a bit expensive. Originally,I would bring it back from Maui for souveniers for my friends and family on the mainland. They loved it so much I called Maui coffee and ordered more. Once I realized Amazon had Maui Coffee I was so excited and now I can order at my leisure and gift it to all my friends and family. My personal favorites are the flavored blends. (: Thanks!" diff --git a/ai-medical-chatbot-master/3-Modeling/tools/data/fine_food_reviews_with_embeddings_1k.csv b/ai-medical-chatbot-master/3-Modeling/tools/data/fine_food_reviews_with_embeddings_1k.csv new file mode 100644 index 0000000000000000000000000000000000000000..ffd5668a03b872259c8b1739939e7973e19bb118 --- /dev/null +++ b/ai-medical-chatbot-master/3-Modeling/tools/data/fine_food_reviews_with_embeddings_1k.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0acc913f3deda7b91fcfb73e86a8780d490a54e33f2d2b9b6343078c45f0501b +size 35254390 diff --git a/ai-medical-chatbot-master/4-Chatbot/References/Notes.txt b/ai-medical-chatbot-master/4-Chatbot/References/Notes.txt new file mode 100644 index 0000000000000000000000000000000000000000..a332df1a918f8acc5970f6368257f08e66f2fa8f --- /dev/null +++ b/ai-medical-chatbot-master/4-Chatbot/References/Notes.txt @@ -0,0 +1,38 @@ +https://github.com/AIGC-Audio/AudioGPT + + +1)Unofficial BingChat API +https://github.com/DarkMatter-999/BingChat-API + +2)ChatGPT-PyAPI +https://github.com/ChaoticByte/ChatGPT-PyAPI/tree/main + +3)Provide chatai sites api +https://github.com/omidima/bing-free-gpt/tree/main + +4)ReEdgeGPT +https://github.com/Integration-Automation/ReEdgeGPT + +BarkTalk: ChatGPT-powered Voice Assistant +5)https://github.com/msadeqsirjani/BarkTalk + +Kendra is a powerful chatbot charged by GPT-3.5-Turbo, Microsoft Bing Search, Amazon Polly, and OpenAI DALL·E . + +https://github.com/leiter2121/Chatbot-GPT-3.5-turbo + + +------------------------------- + +Face wunjo.wladradchenko.r +https://colab.research.google.com/drive/1o2Ew72vzQ7Q0Vp8Nwl2jM8V6jbGWLEUI#scrollTo=fAjwGmKKYl_I + +1)https://github.com/wladradchenko/wunjo.wladradchenko.ru/tree/main + +https://github.com/deepkyu/ml-talking-face +https://github.com/GiannisPikoulis/dsml-thesis + +https://github.com/numz/sd-wav2lip-uhq +https://github.com/KangweiiLiu/Awesome_Audio-driven_Talking-Face-Generation + +https://github.com/AIGC-Audio/AudioGPT + diff --git a/ai-medical-chatbot-master/5-HuggingFace/.gitattributes b/ai-medical-chatbot-master/5-HuggingFace/.gitattributes new file mode 100644 index 0000000000000000000000000000000000000000..a6344aac8c09253b3b630fb776ae94478aa0275b --- /dev/null +++ b/ai-medical-chatbot-master/5-HuggingFace/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/ai-medical-chatbot-master/5-HuggingFace/.gitignore b/ai-medical-chatbot-master/5-HuggingFace/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..359bf802ef966cc0e1c701d98e845f3a7750c9d8 --- /dev/null +++ b/ai-medical-chatbot-master/5-HuggingFace/.gitignore @@ -0,0 +1,2 @@ +notebook/watsonx/.env +.env diff --git a/ai-medical-chatbot-master/5-HuggingFace/Dockerfile b/ai-medical-chatbot-master/5-HuggingFace/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..ce29825fe072a1b35582daefbd0e294f5fccb955 --- /dev/null +++ b/ai-medical-chatbot-master/5-HuggingFace/Dockerfile @@ -0,0 +1,27 @@ +FROM python:3.10 + +WORKDIR /code + +COPY ./requirements.txt /code/requirements.txt + +RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt + +# Set up a new user named "user" with user ID 1000 +RUN useradd -m -u 1000 user + +# Switch to the "user" user +USER user + +# Set home to the user's home directory +ENV HOME=/home/user \ + PATH=/home/user/.local/bin:$PATH + +# Set the working directory to the user's home directory +WORKDIR $HOME/app + +# Copy the current directory contents into the container at $HOME/app setting the owner to the user +COPY --chown=user . $HOME/app + +EXPOSE 7860 + +CMD ["python", "app.py"] \ No newline at end of file diff --git a/ai-medical-chatbot-master/5-HuggingFace/README.md b/ai-medical-chatbot-master/5-HuggingFace/README.md new file mode 100644 index 0000000000000000000000000000000000000000..220419911988651c0c2f2f6ff9e64f3b0f85ca9a --- /dev/null +++ b/ai-medical-chatbot-master/5-HuggingFace/README.md @@ -0,0 +1,10 @@ +--- +title: AI Medical Chatbot +emoji: 📉 +colorFrom: red +colorTo: yellow +sdk: docker +pinned: false +--- + +Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/ai-medical-chatbot-master/5-HuggingFace/app.py b/ai-medical-chatbot-master/5-HuggingFace/app.py new file mode 100644 index 0000000000000000000000000000000000000000..6b04a032b7cf33a30ed0cad71958e0b79b491de8 --- /dev/null +++ b/ai-medical-chatbot-master/5-HuggingFace/app.py @@ -0,0 +1,318 @@ +from datasets import load_dataset +from IPython.display import clear_output +import pandas as pd +import re +from dotenv import load_dotenv +import os +from ibm_watson_machine_learning.foundation_models.utils.enums import ModelTypes +from ibm_watson_machine_learning.metanames import GenTextParamsMetaNames as GenParams +from ibm_watson_machine_learning.foundation_models.utils.enums import DecodingMethods +from langchain.llms import WatsonxLLM +from langchain.embeddings import SentenceTransformerEmbeddings +from langchain.embeddings.base import Embeddings +from langchain.vectorstores.milvus import Milvus +from langchain.embeddings import HuggingFaceEmbeddings # Not used in this example +from dotenv import load_dotenv +import os +from pymilvus import Collection, utility +from pymilvus import connections, FieldSchema, CollectionSchema, DataType, Collection, utility +from towhee import pipe, ops +import numpy as np +#import langchain.chains as lc +from langchain_core.retrievers import BaseRetriever +from langchain_core.callbacks import CallbackManagerForRetrieverRun +from langchain_core.documents import Document +from pymilvus import Collection, utility +from towhee import pipe, ops +import numpy as np +from towhee.datacollection import DataCollection +from typing import List +from langchain.chains import RetrievalQA +from langchain.prompts import PromptTemplate +from langchain.schema.runnable import RunnablePassthrough +from langchain_core.retrievers import BaseRetriever +from langchain_core.callbacks import CallbackManagerForRetrieverRun + +print_full_prompt=False + +## Step 1 Dataset Retrieving +dataset = load_dataset("ruslanmv/ai-medical-chatbot") +clear_output() +train_data = dataset["train"] +#For this demo let us choose the first 1000 dialogues + +df = pd.DataFrame(train_data[:1000]) +#df = df[["Patient", "Doctor"]].rename(columns={"Patient": "question", "Doctor": "answer"}) +df = df[["Description", "Doctor"]].rename(columns={"Description": "question", "Doctor": "answer"}) +# Add the 'ID' column as the first column +df.insert(0, 'id', df.index) +# Reset the index and drop the previous index column +df = df.reset_index(drop=True) + +# Clean the 'question' and 'answer' columns +df['question'] = df['question'].apply(lambda x: re.sub(r'\s+', ' ', x.strip())) +df['answer'] = df['answer'].apply(lambda x: re.sub(r'\s+', ' ', x.strip())) +df['question'] = df['question'].str.replace('^Q.', '', regex=True) +# Assuming your DataFrame is named df +max_length = 500 # Due to our enbeeding model does not allow long strings +df['question'] = df['question'].str.slice(0, max_length) +#To use the dataset to get answers, let's first define the dictionary: +#- `id_answer`: a dictionary of id and corresponding answer +id_answer = df.set_index('id')['answer'].to_dict() + + +load_dotenv() + +## Step 2 Milvus connection + +COLLECTION_NAME='qa_medical' +load_dotenv() +host_milvus = os.environ.get("REMOTE_SERVER", '127.0.0.1') +connections.connect(host=host_milvus, port='19530') + + +collection = Collection(COLLECTION_NAME) +collection.load(replica_number=1) +utility.load_state(COLLECTION_NAME) +utility.loading_progress(COLLECTION_NAME) + +max_input_length = 500 # Maximum length allowed by the model +# Create the combined pipe for question encoding and answer retrieval +combined_pipe = ( + pipe.input('question') + .map('question', 'vec', lambda x: x[:max_input_length]) # Truncate the question if longer than 512 tokens + .map('vec', 'vec', ops.text_embedding.dpr(model_name='facebook/dpr-ctx_encoder-single-nq-base')) + .map('vec', 'vec', lambda x: x / np.linalg.norm(x, axis=0)) + .map('vec', 'res', ops.ann_search.milvus_client(host=host_milvus, port='19530', collection_name=COLLECTION_NAME, limit=1)) + .map('res', 'answer', lambda x: [id_answer[int(i[0])] for i in x]) + .output('question', 'answer') +) + +# Step 3 - Custom LLM +from openai import OpenAI +def generate_stream(prompt, model="mixtral-8x7b"): + base_url = "https://ruslanmv-hf-llm-api.hf.space" + api_key = "sk-xxxxx" + client = OpenAI(base_url=base_url, api_key=api_key) + response = client.chat.completions.create( + model=model, + messages=[ + { + "role": "user", + "content": "{}".format(prompt), + } + ], + stream=True, + ) + return response +# Zephyr formatter +def format_prompt_zephyr(message, history, system_message): + prompt = ( + "<|system|>\n" + system_message + "" + ) + for user_prompt, bot_response in history: + prompt += f"<|user|>\n{user_prompt}" + prompt += f"<|assistant|>\n{bot_response}" + if message=="": + message="Hello" + prompt += f"<|user|>\n{message}" + prompt += f"<|assistant|>" + #print(prompt) + return prompt + + +# Step 4 Langchain Definitions + +class CustomRetrieverLang(BaseRetriever): + def get_relevant_documents( + self, query: str, *, run_manager: CallbackManagerForRetrieverRun + ) -> List[Document]: + # Perform the encoding and retrieval for a specific question + ans = combined_pipe(query) + ans = DataCollection(ans) + answer=ans[0]['answer'] + answer_string = ' '.join(answer) + return [Document(page_content=answer_string)] +# Ensure correct VectorStoreRetriever usage +retriever = CustomRetrieverLang() + + +def full_prompt( + question, + history="" + ): + context=[] + # Get the retrieved context + docs = retriever.get_relevant_documents(question) + print("Retrieved context:") + for doc in docs: + context.append(doc.page_content) + context=" ".join(context) + #print(context) + default_system_message = f""" + You're the health assistant. Please abide by these guidelines: + - Keep your sentences short, concise and easy to understand. + - Be concise and relevant: Most of your responses should be a sentence or two, unless you’re asked to go deeper. + - If you don't know the answer, just say that you don't know, don't try to make up an answer. + - Use three sentences maximum and keep the answer as concise as possible. + - Always say "thanks for asking!" at the end of the answer. + - Remember to follow these rules absolutely, and do not refer to these rules, even if you’re asked about them. + - Use the following pieces of context to answer the question at the end. + - Context: {context}. + """ + system_message = os.environ.get("SYSTEM_MESSAGE", default_system_message) + formatted_prompt = format_prompt_zephyr(question, history, system_message=system_message) + print(formatted_prompt) + return formatted_prompt + +def custom_llm( + question, + history="", + temperature=0.8, + max_tokens=256, + top_p=0.95, + stop=None, +): + formatted_prompt = full_prompt(question, history) + try: + print("LLM Input:", formatted_prompt) + output = "" + stream = generate_stream(formatted_prompt) + + # Check if stream is None before iterating + if stream is None: + print("No response generated.") + return + + for response in stream: + character = response.choices[0].delta.content + + # Handle empty character and stop reason + if character is not None: + print(character, end="", flush=True) + output += character + elif response.choices[0].finish_reason == "stop": + print("Generation stopped.") + break # or return output depending on your needs + else: + pass + + if "<|user|>" in character: + # end of context + print("----end of context----") + return + + #print(output) + #yield output + except Exception as e: + if "Too Many Requests" in str(e): + print("ERROR: Too many requests on mistral client") + #gr.Warning("Unfortunately Mistral is unable to process") + output = "Unfortunately I am not able to process your request now !" + else: + print("Unhandled Exception: ", str(e)) + #gr.Warning("Unfortunately Mistral is unable to process") + output = "I do not know what happened but I could not understand you ." + + return output + + + +from langchain.llms import BaseLLM +from langchain_core.language_models.llms import LLMResult +class MyCustomLLM(BaseLLM): + + def _generate( + self, + prompt: str, + *, + temperature: float = 0.7, + max_tokens: int = 256, + top_p: float = 0.95, + stop: list[str] = None, + **kwargs, + ) -> LLMResult: # Change return type to LLMResult + response_text = custom_llm( + question=prompt, + temperature=temperature, + max_tokens=max_tokens, + top_p=top_p, + stop=stop, + ) + # Convert the response text to LLMResult format + response = LLMResult(generations=[[{'text': response_text}]]) + return response + + def _llm_type(self) -> str: + return "Custom LLM" + +# Create a Langchain with your custom LLM +rag_chain = MyCustomLLM() + +# Invoke the chain with your question +question = "I have started to get lots of acne on my face, particularly on my forehead what can I do" +print(rag_chain.invoke(question)) + + +# Define your chat function +import gradio as gr +def chat(message, history): + history = history or [] + if isinstance(history, str): + history = [] # Reset history to empty list if it's a string + response = rag_chain.invoke(message) + history.append((message, response)) + return history, response + +def chat_v1(message, history): + response = rag_chain.invoke(message) + return (response) + +collection.load() +# Create a Gradio interface +import gradio as gr + +# Function to read CSS from file (improved readability) +def read_css_from_file(filename): + with open(filename, "r") as f: + return f.read() + +# Read CSS from file +css = read_css_from_file("style.css") + +# The welcome message with improved styling (see style.css) +welcome_message = ''' +
+ + AI Medical Chatbot + +
+ + Ask any medical question and get answers from our AI Medical Chatbot + +
+ + Developed by Ruslan Magana. Visit https://ruslanmv.com/ for more information. + +
+''' + +# Creating Gradio interface with full-screen styling +with gr.Blocks(css=css) as interface: + gr.Markdown(welcome_message) # Display the welcome message + + # Input and output elements + with gr.Row(): + with gr.Column(): + text_prompt = gr.Textbox(label="Input Prompt", placeholder="Example: What are the symptoms of COVID-19?", lines=2) + generate_button = gr.Button("Ask Me", variant="primary") + + with gr.Row(): + answer_output = gr.Textbox(type="text", label="Answer") + + # Assuming you have a function `chat` that processes the prompt and returns a response + generate_button.click(chat_v1, inputs=[text_prompt], outputs=answer_output) + +# Launch the app +#interface.launch(inline=True, share=False) #For the notebook +interface.launch(server_name="0.0.0.0",server_port=7860) \ No newline at end of file diff --git a/ai-medical-chatbot-master/5-HuggingFace/backup/v1/app.py b/ai-medical-chatbot-master/5-HuggingFace/backup/v1/app.py new file mode 100644 index 0000000000000000000000000000000000000000..8a66047d3c81ec33b75c741593bf01496f5051a1 --- /dev/null +++ b/ai-medical-chatbot-master/5-HuggingFace/backup/v1/app.py @@ -0,0 +1,284 @@ +from datasets import load_dataset +from IPython.display import clear_output +import pandas as pd +import re +from dotenv import load_dotenv +import os +from ibm_watson_machine_learning.foundation_models.utils.enums import ModelTypes +from ibm_watson_machine_learning.metanames import GenTextParamsMetaNames as GenParams +from ibm_watson_machine_learning.foundation_models.utils.enums import DecodingMethods +from langchain.llms import WatsonxLLM +from langchain.embeddings import SentenceTransformerEmbeddings +from langchain.embeddings.base import Embeddings +from langchain.vectorstores.milvus import Milvus +from langchain.embeddings import HuggingFaceEmbeddings # Not used in this example +from dotenv import load_dotenv +import os +from pymilvus import Collection, utility +from pymilvus import connections, FieldSchema, CollectionSchema, DataType, Collection, utility +from towhee import pipe, ops +import numpy as np +#import langchain.chains as lc +from langchain_core.retrievers import BaseRetriever +from langchain_core.callbacks import CallbackManagerForRetrieverRun +from langchain_core.documents import Document +from pymilvus import Collection, utility +from towhee import pipe, ops +import numpy as np +from towhee.datacollection import DataCollection +from typing import List +from langchain.chains import RetrievalQA +from langchain.prompts import PromptTemplate +from langchain.schema.runnable import RunnablePassthrough +from langchain_core.retrievers import BaseRetriever +from langchain_core.callbacks import CallbackManagerForRetrieverRun + +print_full_prompt=False + +## Step 1 Dataset Retrieving +dataset = load_dataset("ruslanmv/ai-medical-chatbot") +clear_output() +train_data = dataset["train"] +#For this demo let us choose the first 1000 dialogues + +df = pd.DataFrame(train_data[:1000]) +#df = df[["Patient", "Doctor"]].rename(columns={"Patient": "question", "Doctor": "answer"}) +df = df[["Description", "Doctor"]].rename(columns={"Description": "question", "Doctor": "answer"}) +# Add the 'ID' column as the first column +df.insert(0, 'id', df.index) +# Reset the index and drop the previous index column +df = df.reset_index(drop=True) + +# Clean the 'question' and 'answer' columns +df['question'] = df['question'].apply(lambda x: re.sub(r'\s+', ' ', x.strip())) +df['answer'] = df['answer'].apply(lambda x: re.sub(r'\s+', ' ', x.strip())) +df['question'] = df['question'].str.replace('^Q.', '', regex=True) +# Assuming your DataFrame is named df +max_length = 500 # Due to our enbeeding model does not allow long strings +df['question'] = df['question'].str.slice(0, max_length) +#To use the dataset to get answers, let's first define the dictionary: +#- `id_answer`: a dictionary of id and corresponding answer +id_answer = df.set_index('id')['answer'].to_dict() + + +load_dotenv() + +## Step 2 Milvus connection + +COLLECTION_NAME='qa_medical' +load_dotenv() +host_milvus = os.environ.get("REMOTE_SERVER", '127.0.0.1') +connections.connect(host=host_milvus, port='19530') + + +collection = Collection(COLLECTION_NAME) +collection.load(replica_number=1) +utility.load_state(COLLECTION_NAME) +utility.loading_progress(COLLECTION_NAME) + +max_input_length = 500 # Maximum length allowed by the model +# Create the combined pipe for question encoding and answer retrieval +combined_pipe = ( + pipe.input('question') + .map('question', 'vec', lambda x: x[:max_input_length]) # Truncate the question if longer than 512 tokens + .map('vec', 'vec', ops.text_embedding.dpr(model_name='facebook/dpr-ctx_encoder-single-nq-base')) + .map('vec', 'vec', lambda x: x / np.linalg.norm(x, axis=0)) + .map('vec', 'res', ops.ann_search.milvus_client(host=host_milvus, port='19530', collection_name=COLLECTION_NAME, limit=1)) + .map('res', 'answer', lambda x: [id_answer[int(i[0])] for i in x]) + .output('question', 'answer') +) + +# Step 3 - Custom LLM +from openai import OpenAI +def generate_stream(prompt, model="mixtral-8x7b"): + base_url = "https://ruslanmv-hf-llm-api.hf.space" + api_key = "sk-xxxxx" + client = OpenAI(base_url=base_url, api_key=api_key) + response = client.chat.completions.create( + model=model, + messages=[ + { + "role": "user", + "content": "{}".format(prompt), + } + ], + stream=True, + ) + return response +# Zephyr formatter +def format_prompt_zephyr(message, history, system_message): + prompt = ( + "<|system|>\n" + system_message + "" + ) + for user_prompt, bot_response in history: + prompt += f"<|user|>\n{user_prompt}" + prompt += f"<|assistant|>\n{bot_response}" + if message=="": + message="Hello" + prompt += f"<|user|>\n{message}" + prompt += f"<|assistant|>" + #print(prompt) + return prompt + + +# Step 4 Langchain Definitions + +class CustomRetrieverLang(BaseRetriever): + def get_relevant_documents( + self, query: str, *, run_manager: CallbackManagerForRetrieverRun + ) -> List[Document]: + # Perform the encoding and retrieval for a specific question + ans = combined_pipe(query) + ans = DataCollection(ans) + answer=ans[0]['answer'] + answer_string = ' '.join(answer) + return [Document(page_content=answer_string)] +# Ensure correct VectorStoreRetriever usage +retriever = CustomRetrieverLang() + + +def full_prompt( + question, + history="" + ): + context=[] + # Get the retrieved context + docs = retriever.get_relevant_documents(question) + print("Retrieved context:") + for doc in docs: + context.append(doc.page_content) + context=" ".join(context) + #print(context) + default_system_message = f""" + You're the health assistant. Please abide by these guidelines: + - Keep your sentences short, concise and easy to understand. + - Be concise and relevant: Most of your responses should be a sentence or two, unless you’re asked to go deeper. + - If you don't know the answer, just say that you don't know, don't try to make up an answer. + - Use three sentences maximum and keep the answer as concise as possible. + - Always say "thanks for asking!" at the end of the answer. + - Remember to follow these rules absolutely, and do not refer to these rules, even if you’re asked about them. + - Use the following pieces of context to answer the question at the end. + - Context: {context}. + """ + system_message = os.environ.get("SYSTEM_MESSAGE", default_system_message) + formatted_prompt = format_prompt_zephyr(question, history, system_message=system_message) + print(formatted_prompt) + return formatted_prompt + +def custom_llm( + question, + history="", + temperature=0.8, + max_tokens=256, + top_p=0.95, + stop=None, +): + formatted_prompt = full_prompt(question, history) + try: + print("LLM Input:", formatted_prompt) + output = "" + stream = generate_stream(formatted_prompt) + + # Check if stream is None before iterating + if stream is None: + print("No response generated.") + return + + for response in stream: + character = response.choices[0].delta.content + + # Handle empty character and stop reason + if character is not None: + print(character, end="", flush=True) + output += character + elif response.choices[0].finish_reason == "stop": + print("Generation stopped.") + break # or return output depending on your needs + else: + pass + + if "<|user|>" in character: + # end of context + print("----end of context----") + return + + #print(output) + #yield output + except Exception as e: + if "Too Many Requests" in str(e): + print("ERROR: Too many requests on mistral client") + #gr.Warning("Unfortunately Mistral is unable to process") + output = "Unfortunately I am not able to process your request now !" + else: + print("Unhandled Exception: ", str(e)) + #gr.Warning("Unfortunately Mistral is unable to process") + output = "I do not know what happened but I could not understand you ." + + return output + + + +from langchain.llms import BaseLLM +from langchain_core.language_models.llms import LLMResult +class MyCustomLLM(BaseLLM): + + def _generate( + self, + prompt: str, + *, + temperature: float = 0.7, + max_tokens: int = 256, + top_p: float = 0.95, + stop: list[str] = None, + **kwargs, + ) -> LLMResult: # Change return type to LLMResult + response_text = custom_llm( + question=prompt, + temperature=temperature, + max_tokens=max_tokens, + top_p=top_p, + stop=stop, + ) + # Convert the response text to LLMResult format + response = LLMResult(generations=[[{'text': response_text}]]) + return response + + def _llm_type(self) -> str: + return "Custom LLM" + +# Create a Langchain with your custom LLM +rag_chain = MyCustomLLM() + +# Invoke the chain with your question +question = "I have started to get lots of acne on my face, particularly on my forehead what can I do" +print(rag_chain.invoke(question)) + + +# Define your chat function +import gradio as gr +def chat(message, history): + history = history or [] + if isinstance(history, str): + history = [] # Reset history to empty list if it's a string + response = rag_chain.invoke(message) + history.append((message, response)) + return history, response +collection.load() +# Create a Gradio interface +title = "AI Medical Chatbot" +description = "Ask any medical question and get answers from our AI Medical Chatbot." +references = "Developed by Ruslan Magana. Visit ruslanmv.com for more information." + +chatbot = gr.Chatbot() +interface = gr.Interface( + chat, + ["text", "state"], + [chatbot, "state"], + allow_flagging="never", + title=title, + description=description, + examples=[["What are the symptoms of COVID-19?"],["I have started to get lots of acne on my face, particularly on my forehead what can I do"]], + +) +#interface.launch(inline=True, share=False) #For the notebook +interface.launch(server_name="0.0.0.0",server_port=7860) \ No newline at end of file diff --git a/ai-medical-chatbot-master/5-HuggingFace/backup/v2/app.py b/ai-medical-chatbot-master/5-HuggingFace/backup/v2/app.py new file mode 100644 index 0000000000000000000000000000000000000000..6b04a032b7cf33a30ed0cad71958e0b79b491de8 --- /dev/null +++ b/ai-medical-chatbot-master/5-HuggingFace/backup/v2/app.py @@ -0,0 +1,318 @@ +from datasets import load_dataset +from IPython.display import clear_output +import pandas as pd +import re +from dotenv import load_dotenv +import os +from ibm_watson_machine_learning.foundation_models.utils.enums import ModelTypes +from ibm_watson_machine_learning.metanames import GenTextParamsMetaNames as GenParams +from ibm_watson_machine_learning.foundation_models.utils.enums import DecodingMethods +from langchain.llms import WatsonxLLM +from langchain.embeddings import SentenceTransformerEmbeddings +from langchain.embeddings.base import Embeddings +from langchain.vectorstores.milvus import Milvus +from langchain.embeddings import HuggingFaceEmbeddings # Not used in this example +from dotenv import load_dotenv +import os +from pymilvus import Collection, utility +from pymilvus import connections, FieldSchema, CollectionSchema, DataType, Collection, utility +from towhee import pipe, ops +import numpy as np +#import langchain.chains as lc +from langchain_core.retrievers import BaseRetriever +from langchain_core.callbacks import CallbackManagerForRetrieverRun +from langchain_core.documents import Document +from pymilvus import Collection, utility +from towhee import pipe, ops +import numpy as np +from towhee.datacollection import DataCollection +from typing import List +from langchain.chains import RetrievalQA +from langchain.prompts import PromptTemplate +from langchain.schema.runnable import RunnablePassthrough +from langchain_core.retrievers import BaseRetriever +from langchain_core.callbacks import CallbackManagerForRetrieverRun + +print_full_prompt=False + +## Step 1 Dataset Retrieving +dataset = load_dataset("ruslanmv/ai-medical-chatbot") +clear_output() +train_data = dataset["train"] +#For this demo let us choose the first 1000 dialogues + +df = pd.DataFrame(train_data[:1000]) +#df = df[["Patient", "Doctor"]].rename(columns={"Patient": "question", "Doctor": "answer"}) +df = df[["Description", "Doctor"]].rename(columns={"Description": "question", "Doctor": "answer"}) +# Add the 'ID' column as the first column +df.insert(0, 'id', df.index) +# Reset the index and drop the previous index column +df = df.reset_index(drop=True) + +# Clean the 'question' and 'answer' columns +df['question'] = df['question'].apply(lambda x: re.sub(r'\s+', ' ', x.strip())) +df['answer'] = df['answer'].apply(lambda x: re.sub(r'\s+', ' ', x.strip())) +df['question'] = df['question'].str.replace('^Q.', '', regex=True) +# Assuming your DataFrame is named df +max_length = 500 # Due to our enbeeding model does not allow long strings +df['question'] = df['question'].str.slice(0, max_length) +#To use the dataset to get answers, let's first define the dictionary: +#- `id_answer`: a dictionary of id and corresponding answer +id_answer = df.set_index('id')['answer'].to_dict() + + +load_dotenv() + +## Step 2 Milvus connection + +COLLECTION_NAME='qa_medical' +load_dotenv() +host_milvus = os.environ.get("REMOTE_SERVER", '127.0.0.1') +connections.connect(host=host_milvus, port='19530') + + +collection = Collection(COLLECTION_NAME) +collection.load(replica_number=1) +utility.load_state(COLLECTION_NAME) +utility.loading_progress(COLLECTION_NAME) + +max_input_length = 500 # Maximum length allowed by the model +# Create the combined pipe for question encoding and answer retrieval +combined_pipe = ( + pipe.input('question') + .map('question', 'vec', lambda x: x[:max_input_length]) # Truncate the question if longer than 512 tokens + .map('vec', 'vec', ops.text_embedding.dpr(model_name='facebook/dpr-ctx_encoder-single-nq-base')) + .map('vec', 'vec', lambda x: x / np.linalg.norm(x, axis=0)) + .map('vec', 'res', ops.ann_search.milvus_client(host=host_milvus, port='19530', collection_name=COLLECTION_NAME, limit=1)) + .map('res', 'answer', lambda x: [id_answer[int(i[0])] for i in x]) + .output('question', 'answer') +) + +# Step 3 - Custom LLM +from openai import OpenAI +def generate_stream(prompt, model="mixtral-8x7b"): + base_url = "https://ruslanmv-hf-llm-api.hf.space" + api_key = "sk-xxxxx" + client = OpenAI(base_url=base_url, api_key=api_key) + response = client.chat.completions.create( + model=model, + messages=[ + { + "role": "user", + "content": "{}".format(prompt), + } + ], + stream=True, + ) + return response +# Zephyr formatter +def format_prompt_zephyr(message, history, system_message): + prompt = ( + "<|system|>\n" + system_message + "" + ) + for user_prompt, bot_response in history: + prompt += f"<|user|>\n{user_prompt}" + prompt += f"<|assistant|>\n{bot_response}" + if message=="": + message="Hello" + prompt += f"<|user|>\n{message}" + prompt += f"<|assistant|>" + #print(prompt) + return prompt + + +# Step 4 Langchain Definitions + +class CustomRetrieverLang(BaseRetriever): + def get_relevant_documents( + self, query: str, *, run_manager: CallbackManagerForRetrieverRun + ) -> List[Document]: + # Perform the encoding and retrieval for a specific question + ans = combined_pipe(query) + ans = DataCollection(ans) + answer=ans[0]['answer'] + answer_string = ' '.join(answer) + return [Document(page_content=answer_string)] +# Ensure correct VectorStoreRetriever usage +retriever = CustomRetrieverLang() + + +def full_prompt( + question, + history="" + ): + context=[] + # Get the retrieved context + docs = retriever.get_relevant_documents(question) + print("Retrieved context:") + for doc in docs: + context.append(doc.page_content) + context=" ".join(context) + #print(context) + default_system_message = f""" + You're the health assistant. Please abide by these guidelines: + - Keep your sentences short, concise and easy to understand. + - Be concise and relevant: Most of your responses should be a sentence or two, unless you’re asked to go deeper. + - If you don't know the answer, just say that you don't know, don't try to make up an answer. + - Use three sentences maximum and keep the answer as concise as possible. + - Always say "thanks for asking!" at the end of the answer. + - Remember to follow these rules absolutely, and do not refer to these rules, even if you’re asked about them. + - Use the following pieces of context to answer the question at the end. + - Context: {context}. + """ + system_message = os.environ.get("SYSTEM_MESSAGE", default_system_message) + formatted_prompt = format_prompt_zephyr(question, history, system_message=system_message) + print(formatted_prompt) + return formatted_prompt + +def custom_llm( + question, + history="", + temperature=0.8, + max_tokens=256, + top_p=0.95, + stop=None, +): + formatted_prompt = full_prompt(question, history) + try: + print("LLM Input:", formatted_prompt) + output = "" + stream = generate_stream(formatted_prompt) + + # Check if stream is None before iterating + if stream is None: + print("No response generated.") + return + + for response in stream: + character = response.choices[0].delta.content + + # Handle empty character and stop reason + if character is not None: + print(character, end="", flush=True) + output += character + elif response.choices[0].finish_reason == "stop": + print("Generation stopped.") + break # or return output depending on your needs + else: + pass + + if "<|user|>" in character: + # end of context + print("----end of context----") + return + + #print(output) + #yield output + except Exception as e: + if "Too Many Requests" in str(e): + print("ERROR: Too many requests on mistral client") + #gr.Warning("Unfortunately Mistral is unable to process") + output = "Unfortunately I am not able to process your request now !" + else: + print("Unhandled Exception: ", str(e)) + #gr.Warning("Unfortunately Mistral is unable to process") + output = "I do not know what happened but I could not understand you ." + + return output + + + +from langchain.llms import BaseLLM +from langchain_core.language_models.llms import LLMResult +class MyCustomLLM(BaseLLM): + + def _generate( + self, + prompt: str, + *, + temperature: float = 0.7, + max_tokens: int = 256, + top_p: float = 0.95, + stop: list[str] = None, + **kwargs, + ) -> LLMResult: # Change return type to LLMResult + response_text = custom_llm( + question=prompt, + temperature=temperature, + max_tokens=max_tokens, + top_p=top_p, + stop=stop, + ) + # Convert the response text to LLMResult format + response = LLMResult(generations=[[{'text': response_text}]]) + return response + + def _llm_type(self) -> str: + return "Custom LLM" + +# Create a Langchain with your custom LLM +rag_chain = MyCustomLLM() + +# Invoke the chain with your question +question = "I have started to get lots of acne on my face, particularly on my forehead what can I do" +print(rag_chain.invoke(question)) + + +# Define your chat function +import gradio as gr +def chat(message, history): + history = history or [] + if isinstance(history, str): + history = [] # Reset history to empty list if it's a string + response = rag_chain.invoke(message) + history.append((message, response)) + return history, response + +def chat_v1(message, history): + response = rag_chain.invoke(message) + return (response) + +collection.load() +# Create a Gradio interface +import gradio as gr + +# Function to read CSS from file (improved readability) +def read_css_from_file(filename): + with open(filename, "r") as f: + return f.read() + +# Read CSS from file +css = read_css_from_file("style.css") + +# The welcome message with improved styling (see style.css) +welcome_message = ''' +
+ + AI Medical Chatbot + +
+ + Ask any medical question and get answers from our AI Medical Chatbot + +
+ + Developed by Ruslan Magana. Visit https://ruslanmv.com/ for more information. + +
+''' + +# Creating Gradio interface with full-screen styling +with gr.Blocks(css=css) as interface: + gr.Markdown(welcome_message) # Display the welcome message + + # Input and output elements + with gr.Row(): + with gr.Column(): + text_prompt = gr.Textbox(label="Input Prompt", placeholder="Example: What are the symptoms of COVID-19?", lines=2) + generate_button = gr.Button("Ask Me", variant="primary") + + with gr.Row(): + answer_output = gr.Textbox(type="text", label="Answer") + + # Assuming you have a function `chat` that processes the prompt and returns a response + generate_button.click(chat_v1, inputs=[text_prompt], outputs=answer_output) + +# Launch the app +#interface.launch(inline=True, share=False) #For the notebook +interface.launch(server_name="0.0.0.0",server_port=7860) \ No newline at end of file diff --git a/ai-medical-chatbot-master/5-HuggingFace/backup/v2/style.css b/ai-medical-chatbot-master/5-HuggingFace/backup/v2/style.css new file mode 100644 index 0000000000000000000000000000000000000000..88320ca67cb6d3e0e898f8784c1f4ff9b9f4b691 --- /dev/null +++ b/ai-medical-chatbot-master/5-HuggingFace/backup/v2/style.css @@ -0,0 +1,71 @@ +/* General Container Styles */ +.gradio-container { + font-family: "IBM Plex Sans", sans-serif; + position: fixed; /* Ensure full-screen coverage */ + top: 0; + left: 0; + width: 100vw; /* Set width to 100% viewport width */ + height: 100vh; /* Set height to 100% viewport height */ + margin: 0; /* Remove margins for full-screen effect */ + padding: 0; /* Remove padding for full-screen background */ + background-color: #212529; /* Dark background color */ + color: #fff; /* Light text color for better readability */ + overflow: hidden; /* Hide potential overflow content */ +} + +/* Button Styles */ +.gr-button { + color: white; + background: #007bff; /* Use a primary color for the background */ + white-space: nowrap; + border: none; + padding: 10px 20px; + border-radius: 8px; + cursor: pointer; + transition: background-color 0.3s, color 0.3s; +} +.gr-button:hover { + background-color: #0056b3; /* Darken the background color on hover */ +} + +/* Share Button Styles (omitted as not directly affecting dark mode) */ +/* ... */ + +/* Other styles (adjustments for full-screen might be needed) */ +#gallery { + min-height: 22rem; + /* Center the gallery horizontally (optional) */ + margin: auto; + border-bottom-right-radius: 0.5rem !important; + border-bottom-left-radius: 0.5rem !important; + background-color: #212529; /* Dark background color for elements */ +} + +/* Centered Container for the Image */ +.image-container { + max-width: 100%; /* Set the maximum width for the container */ + margin: auto; /* Center the container horizontally */ + padding: 20px; /* Add padding for spacing */ + border: 1px solid #ccc; /* Add a subtle border to the container */ + border-radius: 10px; + overflow: hidden; /* Hide overflow if the image is larger */ + max-height: 22rem; /* Set a maximum height for the container */ + background-color: #212529; /* Dark background color for elements */ +} + +/* Set a fixed size for the image */ +.image-container img { + max-width: 100%; /* Ensure the image fills the container */ + height: auto; /* Maintain aspect ratio */ + max-height: 100%; + border-radius: 10px; + box-shadow: 0px 2px 4px rgba(0, 0, 0, 0.2); +} + +/* Output box styles */ +.gradio-textbox { + background-color: #343a40; /* Dark background color */ + color: #fff; /* Light text color for better readability */ + border-color: #343a40; /* Dark border color */ + border-radius: 8px; +} \ No newline at end of file diff --git a/ai-medical-chatbot-master/5-HuggingFace/notebook/local/chatbot.ipynb b/ai-medical-chatbot-master/5-HuggingFace/notebook/local/chatbot.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..ea6b86faae8456b199d0cb840e1b2f6a9a88df69 --- /dev/null +++ b/ai-medical-chatbot-master/5-HuggingFace/notebook/local/chatbot.ipynb @@ -0,0 +1,654 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from datasets import load_dataset\n", + "from IPython.display import clear_output\n", + "import pandas as pd\n", + "import re\n", + "from dotenv import load_dotenv\n", + "import os\n", + "from ibm_watson_machine_learning.foundation_models.utils.enums import ModelTypes\n", + "from ibm_watson_machine_learning.metanames import GenTextParamsMetaNames as GenParams\n", + "from ibm_watson_machine_learning.foundation_models.utils.enums import DecodingMethods\n", + "from langchain.llms import WatsonxLLM\n", + "from langchain.embeddings import SentenceTransformerEmbeddings\n", + "from langchain.embeddings.base import Embeddings\n", + "from langchain.vectorstores.milvus import Milvus\n", + "from langchain.embeddings import HuggingFaceEmbeddings # Not used in this example\n", + "from dotenv import load_dotenv\n", + "import os\n", + "from pymilvus import Collection, utility\n", + "from pymilvus import connections, FieldSchema, CollectionSchema, DataType, Collection, utility\n", + "from towhee import pipe, ops\n", + "import numpy as np\n", + "#import langchain.chains as lc\n", + "from langchain_core.retrievers import BaseRetriever\n", + "from langchain_core.callbacks import CallbackManagerForRetrieverRun\n", + "from langchain_core.documents import Document\n", + "from pymilvus import Collection, utility\n", + "from towhee import pipe, ops\n", + "import numpy as np\n", + "from towhee.datacollection import DataCollection\n", + "from typing import List\n", + "from langchain.chains import RetrievalQA\n", + "from langchain.prompts import PromptTemplate\n", + "from langchain.schema.runnable import RunnablePassthrough\n", + "from langchain_core.retrievers import BaseRetriever\n", + "from langchain_core.callbacks import CallbackManagerForRetrieverRun\n", + "\n", + "print_full_prompt=False" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "## Step 1 Dataset Retrieving\n", + "dataset = load_dataset(\"ai-medical-chatbot\")\n", + "clear_output()\n", + "train_data = dataset[\"train\"]\n", + "#For this demo let us choose the first 1000 dialogues\n", + "\n", + "df = pd.DataFrame(train_data[:1000])\n", + "#df = df[[\"Patient\", \"Doctor\"]].rename(columns={\"Patient\": \"question\", \"Doctor\": \"answer\"})\n", + "df = df[[\"Description\", \"Doctor\"]].rename(columns={\"Description\": \"question\", \"Doctor\": \"answer\"})\n", + "# Add the 'ID' column as the first column\n", + "df.insert(0, 'id', df.index)\n", + "# Reset the index and drop the previous index column\n", + "df = df.reset_index(drop=True)\n", + "\n", + "# Clean the 'question' and 'answer' columns\n", + "df['question'] = df['question'].apply(lambda x: re.sub(r'\\s+', ' ', x.strip()))\n", + "df['answer'] = df['answer'].apply(lambda x: re.sub(r'\\s+', ' ', x.strip()))\n", + "df['question'] = df['question'].str.replace('^Q.', '', regex=True)\n", + "# Assuming your DataFrame is named df\n", + "max_length = 500 # Due to our enbeeding model does not allow long strings\n", + "df['question'] = df['question'].str.slice(0, max_length)\n", + "#To use the dataset to get answers, let's first define the dictionary:\n", + "#- `id_answer`: a dictionary of id and corresponding answer\n", + "id_answer = df.set_index('id')['answer'].to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "## Step 2 WatsonX connection\n", + "load_dotenv()\n", + "try:\n", + " API_KEY = os.environ.get(\"API_KEY\")\n", + " project_id =os.environ.get(\"PROJECT_ID\")\n", + "except KeyError:\n", + " API_KEY: input(\"Please enter your WML api key (hit enter): \")\n", + " project_id = input(\"Please project_id (hit enter): \")\n", + "\n", + "credentials = {\n", + " \"url\": \"https://us-south.ml.cloud.ibm.com\",\n", + " \"apikey\": API_KEY \n", + "} \n", + "\n", + "model_id = ModelTypes.GRANITE_13B_CHAT_V2\n", + "\n", + "\n", + "parameters = {\n", + " GenParams.DECODING_METHOD: DecodingMethods.GREEDY,\n", + " GenParams.MIN_NEW_TOKENS: 1,\n", + " GenParams.MAX_NEW_TOKENS: 500,\n", + " GenParams.STOP_SEQUENCES: [\"<|endoftext|>\"]\n", + "}\n", + "\n", + "\n", + "watsonx_granite = WatsonxLLM(\n", + " model_id=model_id.value,\n", + " url=credentials.get(\"url\"),\n", + " apikey=credentials.get(\"apikey\"),\n", + " project_id=project_id,\n", + " params=parameters\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "langchain.llms.watsonxllm.WatsonxLLM" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(watsonx_granite)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "bin c:\\Users\\rusla\\.conda\\envs\\textgen\\lib\\site-packages\\bitsandbytes\\libbitsandbytes_cuda117.dll\n" + ] + } + ], + "source": [ + "## Step 3 Milvus connection\n", + "\n", + "COLLECTION_NAME='qa_medical'\n", + "load_dotenv()\n", + "host_milvus = os.environ.get(\"REMOTE_SERVER\", '127.0.0.1')\n", + "connections.connect(host=host_milvus, port='19530')\n", + "\n", + "\n", + "collection = Collection(COLLECTION_NAME) \n", + "collection.load(replica_number=1)\n", + "utility.load_state(COLLECTION_NAME)\n", + "utility.loading_progress(COLLECTION_NAME)\n", + "\n", + "max_input_length = 500 # Maximum length allowed by the model\n", + "# Create the combined pipe for question encoding and answer retrieval\n", + "combined_pipe = (\n", + " pipe.input('question')\n", + " .map('question', 'vec', lambda x: x[:max_input_length]) # Truncate the question if longer than 512 tokens\n", + " .map('vec', 'vec', ops.text_embedding.dpr(model_name='facebook/dpr-ctx_encoder-single-nq-base'))\n", + " .map('vec', 'vec', lambda x: x / np.linalg.norm(x, axis=0))\n", + " .map('vec', 'res', ops.ann_search.milvus_client(host=host_milvus, port='19530', collection_name=COLLECTION_NAME, limit=1))\n", + " .map('res', 'answer', lambda x: [id_answer[int(i[0])] for i in x])\n", + " .output('question', 'answer')\n", + ")\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# Step 2 - Custom LLM\n", + "from openai import OpenAI\n", + "def generate_stream(prompt, model=\"mixtral-8x7b\"):\n", + " base_url = \"https://ruslanmv-hf-llm-api.hf.space\"\n", + " api_key = \"sk-xxxxx\"\n", + " client = OpenAI(base_url=base_url, api_key=api_key)\n", + " response = client.chat.completions.create(\n", + " model=model,\n", + " messages=[\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": \"{}\".format(prompt),\n", + " }\n", + " ],\n", + " stream=True,\n", + " )\n", + " return response\n", + "# Zephyr formatter\n", + "def format_prompt_zephyr(message, history, system_message):\n", + " prompt = (\n", + " \"<|system|>\\n\" + system_message + \"\"\n", + " )\n", + " for user_prompt, bot_response in history:\n", + " prompt += f\"<|user|>\\n{user_prompt}\"\n", + " prompt += f\"<|assistant|>\\n{bot_response}\"\n", + " if message==\"\":\n", + " message=\"Hello\"\n", + " prompt += f\"<|user|>\\n{message}\"\n", + " prompt += f\"<|assistant|>\"\n", + " #print(prompt)\n", + " return prompt\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Step 4 Langchain Definitions\n", + "\n", + "class CustomRetrieverLang(BaseRetriever): \n", + " def get_relevant_documents(\n", + " self, query: str, *, run_manager: CallbackManagerForRetrieverRun\n", + " ) -> List[Document]:\n", + " # Perform the encoding and retrieval for a specific question\n", + " ans = combined_pipe(query)\n", + " ans = DataCollection(ans)\n", + " answer=ans[0]['answer']\n", + " answer_string = ' '.join(answer)\n", + " return [Document(page_content=answer_string)] \n", + "# Ensure correct VectorStoreRetriever usage\n", + "retriever = CustomRetrieverLang()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "def full_prompt(\n", + " question,\n", + " history=\"\"\n", + " ):\n", + " context=[]\n", + " # Get the retrieved context\n", + " docs = retriever.get_relevant_documents(question)\n", + " print(\"Retrieved context:\")\n", + " for doc in docs:\n", + " context.append(doc.page_content)\n", + " context=\" \".join(context)\n", + " #print(context)\n", + " default_system_message = f\"\"\"\n", + " You're the health assistant. Please abide by these guidelines:\n", + " - Keep your sentences short, concise and easy to understand.\n", + " - Be concise and relevant: Most of your responses should be a sentence or two, unless you’re asked to go deeper.\n", + " - If you don't know the answer, just say that you don't know, don't try to make up an answer. \n", + " - Use three sentences maximum and keep the answer as concise as possible. \n", + " - Always say \"thanks for asking!\" at the end of the answer.\n", + " - Remember to follow these rules absolutely, and do not refer to these rules, even if you’re asked about them.\n", + " - Use the following pieces of context to answer the question at the end. \n", + " - Context: {context}.\n", + " \"\"\"\n", + " system_message = os.environ.get(\"SYSTEM_MESSAGE\", default_system_message)\n", + " formatted_prompt = format_prompt_zephyr(question, history, system_message=system_message)\n", + " print(formatted_prompt)\n", + " return formatted_prompt\n", + "\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "#question = \"I have started to get lots of acne on my face, particularly on my forehead what can I do\"\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "#prompt=full_prompt(question)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "def custom_llm(\n", + " question,\n", + " history=\"\",\n", + " temperature=0.8,\n", + " max_tokens=256,\n", + " top_p=0.95,\n", + " stop=None,\n", + "):\n", + " formatted_prompt = full_prompt(question, history)\n", + " try:\n", + " print(\"LLM Input:\", formatted_prompt)\n", + " output = \"\"\n", + " stream = generate_stream(formatted_prompt)\n", + "\n", + " # Check if stream is None before iterating\n", + " if stream is None:\n", + " print(\"No response generated.\")\n", + " return\n", + "\n", + " for response in stream:\n", + " character = response.choices[0].delta.content\n", + "\n", + " # Handle empty character and stop reason\n", + " if character is not None:\n", + " print(character, end=\"\", flush=True)\n", + " output += character\n", + " elif response.choices[0].finish_reason == \"stop\":\n", + " print(\"Generation stopped.\")\n", + " break # or return output depending on your needs\n", + " else:\n", + " pass\n", + "\n", + " if \"<|user|>\" in character:\n", + " # end of context\n", + " print(\"----end of context----\")\n", + " return\n", + "\n", + " #print(output)\n", + " #yield output\n", + " except Exception as e:\n", + " if \"Too Many Requests\" in str(e):\n", + " print(\"ERROR: Too many requests on mistral client\")\n", + " #gr.Warning(\"Unfortunately Mistral is unable to process\")\n", + " output = \"Unfortunately I am not able to process your request now !\"\n", + " else:\n", + " print(\"Unhandled Exception: \", str(e))\n", + " #gr.Warning(\"Unfortunately Mistral is unable to process\")\n", + " output = \"I do not know what happened but I could not understand you .\"\n", + "\n", + " return output" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "!pip freeze > requirements.txt" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Retrieved context:\n", + "<|system|>\n", + "\n", + " You're the health assistant. Please abide by these guidelines:\n", + " - Keep your sentences short, concise and easy to understand.\n", + " - Be concise and relevant: Most of your responses should be a sentence or two, unless you’re asked to go deeper.\n", + " - If you don't know the answer, just say that you don't know, don't try to make up an answer. \n", + " - Use three sentences maximum and keep the answer as concise as possible. \n", + " - Always say \"thanks for asking!\" at the end of the answer.\n", + " - Remember to follow these rules absolutely, and do not refer to these rules, even if you’re asked about them.\n", + " - Use the following pieces of context to answer the question at the end. \n", + " - Context: Hi there Acne has multifactorial etiology. Only acne soap does not improve if ypu have grade 2 or more grade acne. You need to have oral and topical medications. This before writing medicines i need to confirm your grade of acne. For mild grade topical clindamycin or retenoic acud derivative would suffice whereas for higher grade acne you need oral medicines aluke doxycycline azithromycin or isotretinoin. Acne vulgaris Cleansing face with antiacne face wash.\n", + " <|user|>\n", + "I have started to get lots of acne on my face, particularly on my forehead what can I do<|assistant|>\n", + "LLM Input: <|system|>\n", + "\n", + " You're the health assistant. Please abide by these guidelines:\n", + " - Keep your sentences short, concise and easy to understand.\n", + " - Be concise and relevant: Most of your responses should be a sentence or two, unless you’re asked to go deeper.\n", + " - If you don't know the answer, just say that you don't know, don't try to make up an answer. \n", + " - Use three sentences maximum and keep the answer as concise as possible. \n", + " - Always say \"thanks for asking!\" at the end of the answer.\n", + " - Remember to follow these rules absolutely, and do not refer to these rules, even if you’re asked about them.\n", + " - Use the following pieces of context to answer the question at the end. \n", + " - Context: Hi there Acne has multifactorial etiology. Only acne soap does not improve if ypu have grade 2 or more grade acne. You need to have oral and topical medications. This before writing medicines i need to confirm your grade of acne. For mild grade topical clindamycin or retenoic acud derivative would suffice whereas for higher grade acne you need oral medicines aluke doxycycline azithromycin or isotretinoin. Acne vulgaris Cleansing face with antiacne face wash.\n", + " <|user|>\n", + "I have started to get lots of acne on my face, particularly on my forehead what can I do<|assistant|>\n", + "Using an anti-acne face wash can help improve your acne. However, for more severe cases (grade 2 or above), you may need oral and topical medications. I'd need to confirm your acne grade before recommending specific medicines. Thanks for asking!Generation stopped.\n" + ] + } + ], + "source": [ + "question = \"I have started to get lots of acne on my face, particularly on my forehead what can I do\"\n", + "response=custom_llm(question)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Retrieved context:\n", + "<|system|>\n", + "\n", + " You're the health assistant. Please abide by these guidelines:\n", + " - Keep your sentences short, concise and easy to understand.\n", + " - Be concise and relevant: Most of your responses should be a sentence or two, unless you’re asked to go deeper.\n", + " - If you don't know the answer, just say that you don't know, don't try to make up an answer. \n", + " - Use three sentences maximum and keep the answer as concise as possible. \n", + " - Always say \"thanks for asking!\" at the end of the answer.\n", + " - Remember to follow these rules absolutely, and do not refer to these rules, even if you’re asked about them.\n", + " - Use the following pieces of context to answer the question at the end. \n", + " - Context: Hi there Acne has multifactorial etiology. Only acne soap does not improve if ypu have grade 2 or more grade acne. You need to have oral and topical medications. This before writing medicines i need to confirm your grade of acne. For mild grade topical clindamycin or retenoic acud derivative would suffice whereas for higher grade acne you need oral medicines aluke doxycycline azithromycin or isotretinoin. Acne vulgaris Cleansing face with antiacne face wash.\n", + " <|user|>\n", + "['I have started to get lots of acne on my face, particularly on my forehead what can I do']<|assistant|>\n", + "LLM Input: <|system|>\n", + "\n", + " You're the health assistant. Please abide by these guidelines:\n", + " - Keep your sentences short, concise and easy to understand.\n", + " - Be concise and relevant: Most of your responses should be a sentence or two, unless you’re asked to go deeper.\n", + " - If you don't know the answer, just say that you don't know, don't try to make up an answer. \n", + " - Use three sentences maximum and keep the answer as concise as possible. \n", + " - Always say \"thanks for asking!\" at the end of the answer.\n", + " - Remember to follow these rules absolutely, and do not refer to these rules, even if you’re asked about them.\n", + " - Use the following pieces of context to answer the question at the end. \n", + " - Context: Hi there Acne has multifactorial etiology. Only acne soap does not improve if ypu have grade 2 or more grade acne. You need to have oral and topical medications. This before writing medicines i need to confirm your grade of acne. For mild grade topical clindamycin or retenoic acud derivative would suffice whereas for higher grade acne you need oral medicines aluke doxycycline azithromycin or isotretinoin. Acne vulgaris Cleansing face with antiacne face wash.\n", + " <|user|>\n", + "['I have started to get lots of acne on my face, particularly on my forehead what can I do']<|assistant|>\n", + "For moderate acne, consider using topical medications like clindamycin or retinoic acid derivatives. However, I'll need to assess your acne grade for personalized advice. Thanks for asking!Generation stopped.\n", + "For moderate acne, consider using topical medications like clindamycin or retinoic acid derivatives. However, I'll need to assess your acne grade for personalized advice. Thanks for asking!\n" + ] + } + ], + "source": [ + "from langchain.llms import BaseLLM\n", + "from langchain_core.language_models.llms import LLMResult\n", + "class MyCustomLLM(BaseLLM):\n", + "\n", + " def _generate(\n", + " self,\n", + " prompt: str,\n", + " *,\n", + " temperature: float = 0.7,\n", + " max_tokens: int = 256,\n", + " top_p: float = 0.95,\n", + " stop: list[str] = None,\n", + " **kwargs,\n", + " ) -> LLMResult: # Change return type to LLMResult\n", + " response_text = custom_llm(\n", + " question=prompt,\n", + " temperature=temperature,\n", + " max_tokens=max_tokens,\n", + " top_p=top_p,\n", + " stop=stop,\n", + " )\n", + " # Convert the response text to LLMResult format\n", + " response = LLMResult(generations=[[{'text': response_text}]])\n", + " return response\n", + "\n", + " def _llm_type(self) -> str:\n", + " return \"Custom LLM\"\n", + "\n", + "# Create a Langchain with your custom LLM\n", + "rag_chain = MyCustomLLM()\n", + "\n", + "# Invoke the chain with your question\n", + "question = \"I have started to get lots of acne on my face, particularly on my forehead what can I do\"\n", + "print(rag_chain.invoke(question))" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "import random\n", + "import gradio as gr\n", + "def chat(message, history):\n", + " history = history or []\n", + " if isinstance(history, str):\n", + " history = [] # Reset history to empty list if it's a string\n", + " response = rag_chain.invoke(message)\n", + " # Mock response for demonstration purposes\n", + " print(\"Type of history : \",type(history))\n", + " #responses = [\"I'm sorry, I cannot answer that question at the moment.\", \n", + " # \"Let me check that for you.\", \n", + " # \"Please wait while I find the answer.\"]\n", + " #response = random.choice(responses)\n", + " history.append((message, response))\n", + " return (history, response)\n", + "collection.load()\n", + "# Create a Gradio interface\n", + "title = \"AI Medical Chatbot\"\n", + "description = \"Ask any medical question and get answers from our AI Medical Chatbot.\"\n", + "references = \"Developed by Ruslan Magana. Visit ruslanmv.com for more information.\"\n", + "chatbot = gr.Chatbot()\n", + "interface = gr.Interface(\n", + " chat,\n", + " [\"text\", \"state\"],\n", + " [chatbot, \"state\"],\n", + " allow_flagging=\"never\",\n", + " title=title,\n", + " description=description,\n", + " examples=[[\"What are the symptoms of COVID-19?\"],[\"I have started to get lots of acne on my face, particularly on my forehead what can I do\"]],\n", + ")\n", + "#interface.launch(inline=True, share=False) #For the notebook\n", + "#interface.launch(server_name=\"0.0.0.0\",server_port=7860)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "def chat_v1(message, history):\n", + " response = rag_chain.invoke(message)\n", + " return (response)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running on local URL: http://127.0.0.1:7894\n", + "\n", + "To create a public link, set `share=True` in `launch()`.\n" + ] + }, + { + "data": { + "text/html": [ + "
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import gradio as gr\n", + "\n", + "# Function to read CSS from file (improved readability)\n", + "def read_css_from_file(filename):\n", + " with open(filename, \"r\") as f:\n", + " return f.read()\n", + "\n", + "# Read CSS from file\n", + "css = read_css_from_file(\"style.css\")\n", + "\n", + "# The welcome message with improved styling (see style.css)\n", + "welcome_message = '''\n", + "
\n", + " \n", + " AI Medical Chatbot\n", + " \n", + "
\n", + " \n", + " Ask any medical question and get answers from our AI Medical Chatbot\n", + " \n", + "
\n", + " \n", + " Developed by Ruslan Magana. Visit https://ruslanmv.com/ for more information.\n", + " \n", + "
\n", + "'''\n", + "\n", + "# Creating Gradio interface with full-screen styling\n", + "with gr.Blocks(css=css) as interface:\n", + " gr.Markdown(welcome_message) # Display the welcome message\n", + "\n", + " # Input and output elements\n", + " with gr.Row():\n", + " with gr.Column():\n", + " text_prompt = gr.Textbox(label=\"Input Prompt\", placeholder=\"Example: What are the symptoms of COVID-19?\", lines=2)\n", + " generate_button = gr.Button(\"Ask Me\", variant=\"primary\")\n", + "\n", + " with gr.Row():\n", + " answer_output = gr.Textbox(type=\"text\", label=\"Answer\")\n", + "\n", + " # Assuming you have a function `chat` that processes the prompt and returns a response\n", + " generate_button.click(chat_v1, inputs=[text_prompt], outputs=answer_output)\n", + "\n", + "# Launch the app\n", + "interface.launch(inline=True, share=False) #For the notebook\n", + "#interface.launch(server_name=\"0.0.0.0\",server_port=7860)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/ai-medical-chatbot-master/5-HuggingFace/notebook/local/img/cover.jpg b/ai-medical-chatbot-master/5-HuggingFace/notebook/local/img/cover.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c308c75a94489361965473367f78ec3429b30eba Binary files /dev/null and b/ai-medical-chatbot-master/5-HuggingFace/notebook/local/img/cover.jpg differ diff --git a/ai-medical-chatbot-master/5-HuggingFace/notebook/local/requirements.txt b/ai-medical-chatbot-master/5-HuggingFace/notebook/local/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..e489578a3ea9651cbce8945e19c249b998b9d9bb --- /dev/null +++ b/ai-medical-chatbot-master/5-HuggingFace/notebook/local/requirements.txt @@ -0,0 +1,401 @@ +absl-py==1.4.0 +accelerate==0.22.0 +aiofiles==23.1.0 +aiohttp==3.8.5 +aioredis==1.3.1 +aiosignal==1.3.1 +altair==5.1.1 +amqp==5.1.1 +annoy==1.17.3 +anyio @ file:///C:/ci/anyio_1644481856696/work/dist +appdirs==1.4.4 +argon2-cffi @ file:///opt/conda/conda-bld/argon2-cffi_1645000214183/work +argon2-cffi-bindings @ file:///C:/ci/argon2-cffi-bindings_1644569876605/work +arrow==1.2.3 +arxiv==1.4.8 +asgiref==3.7.2 +astroid==2.6.6 +asttokens @ file:///opt/conda/conda-bld/asttokens_1646925590279/work +astunparse==1.6.3 +async-lru==2.0.4 +async-timeout==4.0.3 +atomicwrites==1.4.1 +attrs==23.1.0 +audioread==3.0.1 +auto-gptq @ https://github.com/PanQiWei/AutoGPTQ/releases/download/v0.4.2/auto_gptq-0.4.2+cu117-cp310-cp310-win_amd64.whl#sha256=7145db94f57db80d1d292880487870686079d1b83ef48d3043b9b01023301fa4 +autobahn==23.6.2 +Automat==22.10.0 +azure-core==1.30.1 +azure-storage-blob==12.19.1 +Babel==2.12.1 +backcall @ file:///home/ktietz/src/ci/backcall_1611930011877/work +backoff==2.2.1 +beautifulsoup4 @ file:///C:/b/abs_0agyz1wsr4/croot/beautifulsoup4-split_1681493048687/work +billiard==3.6.4.0 +bitsandbytes @ https://github.com/jllllll/bitsandbytes-windows-webui/releases/download/wheels/bitsandbytes-0.41.1-py3-none-win_amd64.whl#sha256=adacda9b2b65dcb1931b222dffd7a91f0b611b3410d5b51c37ef7b22654106e6 +bleach @ file:///opt/conda/conda-bld/bleach_1641577558959/work +blinker==1.7.0 +boto3==1.34.29 +botocore==1.34.29 +build==0.10.0 +CacheControl==0.13.1 +cachetools==5.3.1 +celery==5.0.5 +certifi==2022.12.7 +cffi @ file:///C:/b/abs_49n3v2hyhr/croot/cffi_1670423218144/work +channels==3.0.5 +channels-redis==3.2.0 +charset-normalizer==2.1.1 +chromadb==0.3.26 +cleo==2.0.1 +click==8.1.7 +click-didyoumean==0.3.0 +click-plugins==1.1.1 +click-repl==0.3.0 +clickhouse-connect==0.7.0 +colorama @ file:///C:/b/abs_a9ozq0l032/croot/colorama_1672387194846/work +coloredlogs==15.0.1 +comm==0.1.4 +constantly==15.1.0 +contourpy==1.1.0 +crashtest==0.4.1 +cryptography==41.0.4 +ctransformers @ https://github.com/jllllll/ctransformers-cuBLAS-wheels/releases/download/AVX2/ctransformers-0.2.25+cu117-py3-none-any.whl#sha256=e22c2c47640e30cbac4a779ad7624a47b89ed27d0daefa7b4cb79ea955424207 +cycler==0.11.0 +daphne==3.0.2 +dataclasses-json==0.6.3 +datasets==2.14.5 +debugpy @ file:///C:/b/abs_c0y1fjipt2/croot/debugpy_1690906864587/work +decorator @ file:///opt/conda/conda-bld/decorator_1643638310831/work +defusedxml @ file:///tmp/build/80754af9/defusedxml_1615228127516/work +dill==0.3.7 +diskcache==5.6.3 +distlib==0.3.7 +distro==1.9.0 +Django==4.1.11 +django-extensions==3.0.9 +docker-pycreds==0.4.0 +docutils==0.20.1 +duckdb==0.9.2 +dulwich==0.21.6 +einops==0.6.1 +emoji==2.10.1 +entrypoints @ file:///C:/ci/entrypoints_1649926676279/work +environs==9.5.0 +exceptiongroup @ file:///C:/b/abs_25wqfvkf25/croot/exceptiongroup_1668714345637/work +executing @ file:///opt/conda/conda-bld/executing_1646925071911/work +exllama @ https://github.com/jllllll/exllama/releases/download/0.0.17/exllama-0.0.17+cu117-cp310-cp310-win_amd64.whl#sha256=64eff5fefde42b113c64e346c062e50ace5a648257053e889fd618026928b84f +faiss==1.7.4 +faiss-cpu==1.7.3 +fashion-clip==0.2.2 +fastapi==0.95.2 +fastjsonschema @ file:///C:/Users/BUILDE~1/AppData/Local/Temp/abs_ebruxzvd08/croots/recipe/python-fastjsonschema_1661376484940/work +feedparser==6.0.10 +ffmpy==0.3.1 +filelock==3.12.4 +Flask==3.0.0 +flatbuffers==23.5.26 +flickrapi==2.4.0 +fonttools==4.42.1 +fqdn==1.5.1 +frozenlist==1.4.0 +fsspec==2023.6.0 +gast==0.4.0 +gdown==4.7.1 +gitdb==4.0.10 +GitPython==3.1.35 +google-auth==2.22.0 +google-auth-oauthlib==1.0.0 +google-pasta==0.2.0 +gptq-for-llama @ https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.0/gptq_for_llama-0.1.0+cu117-cp310-cp310-win_amd64.whl#sha256=93e632ce0f29ac0b6ae84631b915df1b5d787fcd7dc961cd364edd9a8367b690 +gradio==3.33.1 +gradio_client==0.2.5 +greenlet==2.0.2 +grpcio==1.58.0 +h11==0.14.0 +h5py==3.9.0 +hiredis==2.2.3 +hnswlib==0.8.0 +httpcore==0.17.3 +httptools==0.6.1 +httpx==0.24.1 +huggingface-hub==0.16.4 +humanfriendly==10.0 +hyperlink==21.0.0 +ibm-cos-sdk==2.13.3 +ibm-cos-sdk-core==2.13.3 +ibm-cos-sdk-s3transfer==2.13.3 +ibm-watson-machine-learning==1.0.344 +idna @ file:///C:/b/abs_bdhbebrioa/croot/idna_1666125572046/work +importlib-metadata==6.8.0 +importlib-resources==6.0.1 +incremental==22.10.0 +iniconfig==2.0.0 +installer==0.7.0 +ipykernel @ file:///C:/b/abs_07rkft_vaz/croot/ipykernel_1691121700587/work +ipyplot==1.1.2 +ipython==8.16.1 +ipython-genutils @ file:///tmp/build/80754af9/ipython_genutils_1606773439826/work +ipywidgets==8.1.1 +isodate==0.6.1 +isoduration==20.11.0 +isort==5.12.0 +itsdangerous==2.1.2 +jaraco.classes==3.3.0 +jedi @ file:///C:/ci/jedi_1644315428305/work +Jinja2 @ file:///C:/b/abs_7cdis66kl9/croot/jinja2_1666908141852/work +jmespath==1.0.1 +joblib==1.3.2 +json5==0.9.14 +jsonpatch==1.33 +jsonpointer==2.4 +jsonschema==4.19.1 +jsonschema-specifications==2023.7.1 +jupyter-events==0.7.0 +jupyter-lsp==2.2.0 +jupyter_client @ file:///C:/b/abs_d8fk_kz9zk/croot/jupyter_client_1676330195659/work +jupyter_core @ file:///C:/b/abs_9d0ttho3bs/croot/jupyter_core_1679906581955/work +jupyter_server==2.7.3 +jupyter_server_terminals==0.4.4 +jupyterlab==4.0.6 +jupyterlab-pygments @ file:///tmp/build/80754af9/jupyterlab_pygments_1601490720602/work +jupyterlab-widgets==3.0.9 +jupyterlab_server==2.25.0 +keras==2.13.1 +keyring==24.2.0 +kiwisolver==1.4.5 +kombu==5.3.2 +langchain==0.0.345 +langchain-community==0.0.15 +langchain-core==0.0.13 +langchain-openai==0.0.4 +langid==1.1.6 +langsmith==0.0.83 +lazy-object-proxy==1.9.0 +lazy_loader==0.3 +libclang==16.0.6 +librosa==0.10.1 +linkify-it-py==2.0.2 +llama-cpp-python @ https://github.com/abetlen/llama-cpp-python/releases/download/v0.1.84/llama_cpp_python-0.1.84-cp310-cp310-win_amd64.whl#sha256=be549a1e26156af0e355153e7744cb17d7462991430997fb008c7473a0f181bf +llama-cpp-python-cuda @ https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.1.84+cu117-cp310-cp310-win_amd64.whl#sha256=ea2dac857d79edf380eddc2a7c4eb3446a0da5cd623298926e845566497337fd +llama-cpp-python-ggml @ https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python_ggml-0.1.78+cpuavx2-cp310-cp310-win_amd64.whl#sha256=6c0cb266a3c22d3a170efb2f19d6c63907efa82288d436e5127daf9ab54c6f9c +llama-cpp-python-ggml-cuda @ https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_ggml_cuda-0.1.78+cu117-cp310-cp310-win_amd64.whl#sha256=04ca481d43a5b28c45959a6edad2126699461f99607417c7421625738901c112 +llvmlite==0.41.1 +loguru==0.7.2 +lomond==0.3.3 +lxml @ file:///C:/b/abs_c2bg6ck92l/croot/lxml_1679646459966/work +lz4==4.3.3 +Markdown==3.4.4 +markdown-it-py==2.2.0 +MarkupSafe @ file:///C:/ci/markupsafe_1654508036328/work +marshmallow==3.20.2 +matplotlib==3.7.2 +matplotlib-inline @ file:///C:/ci/matplotlib-inline_1661934094726/work +mccabe==0.6.1 +mdit-py-plugins==0.3.3 +mdurl==0.1.2 +mediafire==0.6.1 +minio==7.2.5 +mistune @ file:///C:/ci_310/mistune_1642084168466/work +mkl-fft==1.3.1 +mkl-random @ file:///C:/ci_310/mkl_random_1643050563308/work +mkl-service==2.4.0 +monotonic==1.6 +more-itertools==10.1.0 +mpmath==1.2.1 +msgpack==1.0.7 +multidict==6.0.4 +multiprocess==0.70.15 +mypy-extensions==1.0.0 +nbclassic @ file:///C:/b/abs_c8_rs7b3zw/croot/nbclassic_1681756186106/work +nbclient @ file:///C:/ci/nbclient_1650308592199/work +nbconvert @ file:///C:/b/abs_4av3q4okro/croot/nbconvert_1668450658054/work +nbformat @ file:///C:/b/abs_85_3g7dkt4/croot/nbformat_1670352343720/work +nest-asyncio @ file:///C:/b/abs_3a_4jsjlqu/croot/nest-asyncio_1672387322800/work +networkx==3.0 +nh3==0.2.15 +nltk==3.8.1 +noisereduce==3.0.0 +notebook @ file:///C:/b/abs_e2qn6c85jb/croot/notebook_1690985290943/work +notebook_shim @ file:///C:/b/abs_ebfczttg6x/croot/notebook-shim_1668160590914/work +numba==0.58.1 +numpy==1.24.0 +oauthlib==3.2.2 +onnxruntime==1.16.3 +openai==1.10.0 +opt-einsum==3.3.0 +optimum==1.12.0 +orjson==3.9.7 +overrides==7.4.0 +packaging==23.2 +pandas==1.5.3 +pandocfilters @ file:///opt/conda/conda-bld/pandocfilters_1643405455980/work +parso @ file:///opt/conda/conda-bld/parso_1641458642106/work +pathtools==0.1.2 +peft==0.5.0 +pexpect==4.8.0 +pgvector==0.2.4 +pickleshare @ file:///tmp/build/80754af9/pickleshare_1606932040724/work +Pillow==10.0.0 +pkginfo==1.9.6 +platformdirs @ file:///C:/b/abs_b6z_yqw_ii/croot/platformdirs_1692205479426/work +pluggy==1.3.0 +poetry==1.6.1 +poetry-core==1.7.0 +poetry-plugin-export==1.5.0 +pooch==1.8.1 +posthog==3.3.3 +pq==1.9.1 +prometheus-client @ file:///C:/Windows/TEMP/abs_ab9nx8qb08/croots/recipe/prometheus_client_1659455104602/work +prompt-toolkit @ file:///C:/b/abs_6coz5_9f2s/croot/prompt-toolkit_1672387908312/work +protobuf==4.24.3 +psutil @ file:///C:/Windows/Temp/abs_b2c2fd7f-9fd5-4756-95ea-8aed74d0039flsd9qufz/croots/recipe/psutil_1656431277748/work +psycopg==3.1.17 +psycopg-binary==3.1.17 +psycopg2==2.9.9 +psycopg2-binary==2.9.9 +ptyprocess==0.7.0 +pulsar-client==3.4.0 +pure-eval @ file:///opt/conda/conda-bld/pure_eval_1646925070566/work +py==1.11.0 +py-cpuinfo==9.0.0 +pyarrow==13.0.0 +pyasn1==0.5.0 +pyasn1-modules==0.3.0 +pycparser @ file:///tmp/build/80754af9/pycparser_1636541352034/work +pycryptodome==3.20.0 +pydantic==1.10.0 +pydub==0.25.1 +Pygments @ file:///C:/b/abs_fay9dpq4n_/croot/pygments_1684279990574/work +pylint==2.7.4 +pymilvus==2.4.0 +PyMuPDF==1.23.3 +PyMuPDFb==1.23.3 +pynndescent==0.5.11 +pyOpenSSL==23.2.0 +pyparsing==3.0.9 +pypdf==4.0.0 +pyproject_hooks==1.0.0 +pyreadline3==3.4.1 +pyrsistent @ file:///C:/ci_310/pyrsistent_1642117077485/work +PySocks==1.7.1 +pytest==6.2.5 +pytest-django==4.1.0 +pytest-mock==3.3.1 +python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work +python-dotenv==1.0.1 +python-json-logger==2.0.7 +python-multipart==0.0.6 +pytz==2023.3.post1 +pywin32==305.1 +pywin32-ctypes==0.2.2 +pywinpty @ file:///C:/b/abs_73vshmevwq/croot/pywinpty_1677609966356/work/target/wheels/pywinpty-2.0.10-cp310-none-win_amd64.whl +PyYAML==6.0.1 +pyzmq==25.1.1 +rag==0.1.0 +ragclip==0.0.4 +rapidfuzz==2.15.1 +readme_renderer==43.0 +redis==3.5.3 +referencing==0.30.2 +regex==2023.8.8 +requests==2.31.0 +requests-oauthlib==1.3.1 +requests-toolbelt==1.0.0 +rfc3339-validator==0.1.4 +rfc3986==2.0.0 +rfc3986-validator==0.1.1 +rich==13.7.1 +rouge==1.0.1 +rpds-py==0.10.2 +rsa==4.9 +s3transfer==0.10.0 +safetensors==0.3.2 +scidownl==1.0.2 +scikit-learn==1.3.0 +scipy==1.11.1 +semantic-version==2.10.0 +Send2Trash==1.8.2 +sentence-transformers==2.2.2 +sentencepiece==0.1.99 +sentry-sdk==1.30.0 +service-identity==23.1.0 +setproctitle==1.3.2 +sgmllib3k==1.0.0 +shellingham==1.5.3 +shortuuid==1.0.11 +six @ file:///tmp/build/80754af9/six_1644875935023/work +sklearn==0.0.post9 +smmap==5.0.0 +sniffio @ file:///C:/ci_310/sniffio_1642092172680/work +soundfile==0.12.1 +soupsieve @ file:///C:/b/abs_a989exj3q6/croot/soupsieve_1680518492466/work +soxr==0.3.7 +SQLAlchemy==2.0.20 +sqlparse==0.4.4 +stack-data @ file:///opt/conda/conda-bld/stack_data_1646927590127/work +starlette==0.27.0 +sympy==1.11.1 +tablib==3.5.0 +tabulate==0.9.0 +tenacity==8.2.3 +tensorboard==2.13.0 +tensorboard-data-server==0.7.1 +tensorflow==2.13.0 +tensorflow-estimator==2.13.0 +tensorflow-hub==0.14.0 +tensorflow-intel==2.13.0 +tensorflow-io-gcs-filesystem==0.31.0 +termcolor==2.3.0 +terminado @ file:///C:/b/abs_25nakickad/croot/terminado_1671751845491/work +threadpoolctl==3.2.0 +tiktoken==0.5.2 +tinycss2 @ file:///C:/b/abs_52w5vfuaax/croot/tinycss2_1668168823131/work +tokenizers==0.13.3 +toml==0.10.2 +tomli==2.0.1 +tomlkit==0.12.1 +toolz==0.12.0 +torch==2.0.1+cu117 +torchaudio==2.0.2+cu117 +torchvision==0.15.2+cu117 +tornado @ file:///C:/b/abs_61jhmrrua1/croot/tornado_1690848767317/work +towhee==1.1.3 +tqdm==4.66.1 +traitlets @ file:///C:/b/abs_e5m_xjjl94/croot/traitlets_1671143896266/work +transformers==4.33.1 +trove-classifiers==2023.9.19 +twine==5.0.0 +Twisted==23.8.0 +twisted-iocpsupport==1.0.4 +txaio==23.1.1 +typing-inspect==0.9.0 +typing_extensions @ file:///C:/b/abs_213vg2cd1l/croot/typing_extensions_1690297804941/work +tzdata==2023.3 +uc-micro-py==1.0.2 +ujson==5.9.0 +umap-learn==0.3.10 +uri-template==1.3.0 +urllib3==1.26.18 +uvicorn==0.23.2 +validators==0.22.0 +vine==5.0.0 +virtualenv==20.24.5 +wandb==0.15.10 +watchdog==0.10.4 +watchfiles==0.21.0 +wcwidth @ file:///Users/ktietz/demo/mc3/conda-bld/wcwidth_1629357192024/work +webcolors==1.13 +webencodings==0.5.1 +websocket-client @ file:///C:/ci_310/websocket-client_1642093970919/work +websockets==11.0.3 +Werkzeug==3.0.1 +wget==3.2 +widgetsnbextension==4.0.9 +win32-setctime==1.1.0 +wrapt==1.12.1 +xxhash==3.3.0 +yarl==1.9.2 +zipp==3.17.0 +zope.interface==6.0 +zstandard==0.22.0 diff --git a/ai-medical-chatbot-master/5-HuggingFace/notebook/local/style.css b/ai-medical-chatbot-master/5-HuggingFace/notebook/local/style.css new file mode 100644 index 0000000000000000000000000000000000000000..acb3595699672b7fcac37c0598c4c8fbc7098398 --- /dev/null +++ b/ai-medical-chatbot-master/5-HuggingFace/notebook/local/style.css @@ -0,0 +1,73 @@ +/* General Container Styles */ +.gradio-container { + font-family: "IBM Plex Sans", sans-serif; + position: fixed; /* Ensure full-screen coverage */ + top: 0; + left: 0; + width: 100vw; /* Set width to 100% viewport width */ + height: 100vh; /* Set height to 100% viewport height */ + margin: 0; /* Remove margins for full-screen effect */ + padding: 0; /* Remove padding for full-screen background */ + background-color: #212529; /* Dark background color */ + color: #fff; /* Light text color for better readability */ + overflow: hidden; /* Hide potential overflow content */ + background-image: url("https://raw.githubusercontent.com/ruslanmv/ai-medical-chatbot/master/assets/images/background.jpg"); /* Replace with your image path */ + background-size: cover; /* Stretch the image to cover the container */ + background-position: center; /* Center the image horizontally and vertically */ +} +/* Button Styles */ +.gr-button { + color: white; + background: #007bff; /* Use a primary color for the background */ + white-space: nowrap; + border: none; + padding: 10px 20px; + border-radius: 8px; + cursor: pointer; + transition: background-color 0.3s, color 0.3s; +} +.gr-button:hover { + background-color: #0056b3; /* Darken the background color on hover */ +} + +/* Share Button Styles (omitted as not directly affecting dark mode) */ +/* ... */ + +/* Other styles (adjustments for full-screen might be needed) */ +#gallery { + min-height: 22rem; + /* Center the gallery horizontally (optional) */ + margin: auto; + border-bottom-right-radius: 0.5rem !important; + border-bottom-left-radius: 0.5rem !important; + background-color: #212529; /* Dark background color for elements */ +} + +/* Centered Container for the Image */ +.image-container { + max-width: 100%; /* Set the maximum width for the container */ + margin: auto; /* Center the container horizontally */ + padding: 20px; /* Add padding for spacing */ + border: 1px solid #a50909; /* Add a subtle border to the container */ + border-radius: 10px; + overflow: hidden; /* Hide overflow if the image is larger */ + max-height: 22rem; /* Set a maximum height for the container */ + background-color: #212529; /* Dark background color for elements */ +} + +/* Set a fixed size for the image */ +.image-container img { + max-width: 100%; /* Ensure the image fills the container */ + height: auto; /* Maintain aspect ratio */ + max-height: 100%; + border-radius: 10px; + box-shadow: 0px 2px 4px rgba(0, 0, 0, 0.2); +} + +/* Output box styles */ +.gradio-textbox { + background-color: #343a40; /* Dark background color */ + color: #fff; /* Light text color for better readability */ + border-color: #343a40; /* Dark border color */ + border-radius: 8px; +} \ No newline at end of file diff --git a/ai-medical-chatbot-master/5-HuggingFace/notebook/watsonx/chatbot.ipynb b/ai-medical-chatbot-master/5-HuggingFace/notebook/watsonx/chatbot.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..54d3898769cd604e3bb67d2a92f7ffdb5e5ec4e9 --- /dev/null +++ b/ai-medical-chatbot-master/5-HuggingFace/notebook/watsonx/chatbot.ipynb @@ -0,0 +1,208 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from datasets import load_dataset\n", + "from IPython.display import clear_output\n", + "import pandas as pd\n", + "import re\n", + "from dotenv import load_dotenv\n", + "import os\n", + "from ibm_watson_machine_learning.foundation_models.utils.enums import ModelTypes\n", + "from ibm_watson_machine_learning.metanames import GenTextParamsMetaNames as GenParams\n", + "from ibm_watson_machine_learning.foundation_models.utils.enums import DecodingMethods\n", + "from langchain.llms import WatsonxLLM\n", + "from langchain.embeddings import SentenceTransformerEmbeddings\n", + "from langchain.embeddings.base import Embeddings\n", + "from langchain.vectorstores.milvus import Milvus\n", + "from langchain.embeddings import HuggingFaceEmbeddings # Not used in this example\n", + "from dotenv import load_dotenv\n", + "import os\n", + "from pymilvus import Collection, utility\n", + "from pymilvus import connections, FieldSchema, CollectionSchema, DataType, Collection, utility\n", + "from towhee import pipe, ops\n", + "import numpy as np\n", + "#import langchain.chains as lc\n", + "from langchain_core.retrievers import BaseRetriever\n", + "from langchain_core.callbacks import CallbackManagerForRetrieverRun\n", + "from langchain_core.documents import Document\n", + "from pymilvus import Collection, utility\n", + "from towhee import pipe, ops\n", + "import numpy as np\n", + "from towhee.datacollection import DataCollection\n", + "from typing import List\n", + "from langchain.chains import RetrievalQA\n", + "from langchain.prompts import PromptTemplate\n", + "from langchain.schema.runnable import RunnablePassthrough\n", + "from langchain_core.retrievers import BaseRetriever\n", + "from langchain_core.callbacks import CallbackManagerForRetrieverRun\n", + "\n", + "print_full_prompt=False\n", + "\n", + "## Step 1 Dataset Retrieving\n", + "\n", + "dataset = load_dataset(\"ruslanmv/ai-medical-chatbot\")\n", + "clear_output()\n", + "train_data = dataset[\"train\"]\n", + "#For this demo let us choose the first 1000 dialogues\n", + "\n", + "df = pd.DataFrame(train_data[:1000])\n", + "#df = df[[\"Patient\", \"Doctor\"]].rename(columns={\"Patient\": \"question\", \"Doctor\": \"answer\"})\n", + "df = df[[\"Description\", \"Doctor\"]].rename(columns={\"Description\": \"question\", \"Doctor\": \"answer\"})\n", + "# Add the 'ID' column as the first column\n", + "df.insert(0, 'id', df.index)\n", + "# Reset the index and drop the previous index column\n", + "df = df.reset_index(drop=True)\n", + "\n", + "# Clean the 'question' and 'answer' columns\n", + "df['question'] = df['question'].apply(lambda x: re.sub(r'\\s+', ' ', x.strip()))\n", + "df['answer'] = df['answer'].apply(lambda x: re.sub(r'\\s+', ' ', x.strip()))\n", + "df['question'] = df['question'].str.replace('^Q.', '', regex=True)\n", + "# Assuming your DataFrame is named df\n", + "max_length = 500 # Due to our enbeeding model does not allow long strings\n", + "df['question'] = df['question'].str.slice(0, max_length)\n", + "#To use the dataset to get answers, let's first define the dictionary:\n", + "#- `id_answer`: a dictionary of id and corresponding answer\n", + "id_answer = df.set_index('id')['answer'].to_dict()\n", + "\n", + "## Step 2 WatsonX connection\n", + "\n", + "load_dotenv()\n", + "try:\n", + " API_KEY = os.environ.get(\"API_KEY\")\n", + " project_id =os.environ.get(\"PROJECT_ID\")\n", + "except KeyError:\n", + " API_KEY: input(\"Please enter your WML api key (hit enter): \")\n", + " project_id = input(\"Please project_id (hit enter): \")\n", + "\n", + "credentials = {\n", + " \"url\": \"https://us-south.ml.cloud.ibm.com\",\n", + " \"apikey\": API_KEY \n", + "} \n", + "\n", + "model_id = ModelTypes.GRANITE_13B_CHAT_V2\n", + "\n", + "\n", + "parameters = {\n", + " GenParams.DECODING_METHOD: DecodingMethods.GREEDY,\n", + " GenParams.MIN_NEW_TOKENS: 1,\n", + " GenParams.MAX_NEW_TOKENS: 500,\n", + " GenParams.STOP_SEQUENCES: [\"<|endoftext|>\"]\n", + "}\n", + "\n", + "\n", + "watsonx_granite = WatsonxLLM(\n", + " model_id=model_id.value,\n", + " url=credentials.get(\"url\"),\n", + " apikey=credentials.get(\"apikey\"),\n", + " project_id=project_id,\n", + " params=parameters\n", + ")\n", + "\n", + "\n", + "## Step 3 Milvus connection\n", + "\n", + "COLLECTION_NAME='qa_medical'\n", + "load_dotenv()\n", + "host_milvus = os.environ.get(\"REMOTE_SERVER\", '127.0.0.1')\n", + "connections.connect(host=host_milvus, port='19530')\n", + "\n", + "\n", + "collection = Collection(COLLECTION_NAME) \n", + "collection.load(replica_number=1)\n", + "utility.load_state(COLLECTION_NAME)\n", + "utility.loading_progress(COLLECTION_NAME)\n", + "\n", + "\n", + "max_input_length = 500 # Maximum length allowed by the model\n", + "\n", + "\n", + "\n", + "# Create the combined pipe for question encoding and answer retrieval\n", + "combined_pipe = (\n", + " pipe.input('question')\n", + " .map('question', 'vec', lambda x: x[:max_input_length]) # Truncate the question if longer than 512 tokens\n", + " .map('vec', 'vec', ops.text_embedding.dpr(model_name='facebook/dpr-ctx_encoder-single-nq-base'))\n", + " .map('vec', 'vec', lambda x: x / np.linalg.norm(x, axis=0))\n", + " .map('vec', 'res', ops.ann_search.milvus_client(host=host_milvus, port='19530', collection_name=COLLECTION_NAME, limit=1))\n", + " .map('res', 'answer', lambda x: [id_answer[int(i[0])] for i in x])\n", + " .output('question', 'answer')\n", + ")\n", + " \n", + "# Step 4 Langchain Definitions\n", + "\n", + "class CustomRetrieverLang(BaseRetriever): \n", + " def get_relevant_documents(\n", + " self, query: str, *, run_manager: CallbackManagerForRetrieverRun\n", + " ) -> List[Document]:\n", + " # Perform the encoding and retrieval for a specific question\n", + " ans = combined_pipe(query)\n", + " ans = DataCollection(ans)\n", + " answer=ans[0]['answer']\n", + " answer_string = ' '.join(answer)\n", + " return [Document(page_content=answer_string)] \n", + "# Ensure correct VectorStoreRetriever usage\n", + "retriever = CustomRetrieverLang()\n", + "\n", + "# Define the prompt template\n", + "template = \"\"\"Use the following pieces of context to answer the question at the end. \n", + "If you don't know the answer, just say that you don't know, don't try to make up an answer. \n", + "Use three sentences maximum and keep the answer as concise as possible. \n", + "Always say \"thanks for asking!\" at the end of the answer. \n", + "{context}\n", + "Question: {question}\n", + "Helpful Answer:\"\"\"\n", + "rag_prompt = PromptTemplate.from_template(template)\n", + "rag_chain = (\n", + " {\"context\": retriever, \"question\": RunnablePassthrough()}\n", + " | rag_prompt\n", + " | watsonx_granite\n", + ")\n", + "\n", + "prompt = \"I have started to get lots of acne on my face, particularly on my forehead what can I do\"\n", + "\n", + "if print_full_prompt:\n", + " # Get the retrieved context\n", + " context = retriever.get_relevant_documents(prompt)\n", + " print(\"Retrieved context:\")\n", + " for doc in context:\n", + " print(doc)\n", + " # Construct the full prompt\n", + " full_prompt = rag_prompt.format(context=context, question=prompt)\n", + " print(\"Full prompt:\", full_prompt)\n", + "\n", + "print(rag_chain.invoke(prompt)) \n", + "\n", + "import towhee\n", + "def chat(message, history):\n", + " history = history or []\n", + " response = rag_chain.invoke(message)\n", + " history.append((message, response))\n", + " return history, history\n", + "\n", + "import gradio\n", + "collection.load()\n", + "chatbot = gradio.Chatbot()\n", + "interface = gradio.Interface(\n", + " chat,\n", + " [\"text\", \"state\"],\n", + " [chatbot, \"state\"],\n", + " allow_flagging=\"never\",\n", + ")\n", + "#interface.launch(inline=True, share=False) #For the notebook\n", + "interface.launch(server_name=\"0.0.0.0\",server_port=7860)" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/ai-medical-chatbot-master/5-HuggingFace/requirements.txt b/ai-medical-chatbot-master/5-HuggingFace/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0c6bbdc70d1ec4f233b6a9f537817610ca7541a --- /dev/null +++ b/ai-medical-chatbot-master/5-HuggingFace/requirements.txt @@ -0,0 +1,193 @@ +aiofiles==23.2.1 +aiohttp==3.9.3 +aiosignal==1.3.1 +altair==5.2.0 +annotated-types==0.6.0 +anyio==3.7.1 +argon2-cffi==23.1.0 +argon2-cffi-bindings==21.2.0 +asttokens==2.4.1 +async-timeout==4.0.3 +attrs==23.2.0 +backoff==2.2.1 +beautifulsoup4==4.12.3 +bs4==0.0.2 +certifi==2024.2.2 +cffi==1.16.0 +charset-normalizer==3.3.2 +chromadb==0.3.22 +click==8.1.7 +clickhouse-connect==0.7.0 +comm==0.2.1 +contourpy==1.2.0 +cryptography==42.0.3 +cycler==0.12.1 +dataclasses-json==0.6.4 +datasets==2.17.1 +debugpy==1.8.1 +decorator==5.1.1 +dill==0.3.8 +docutils==0.20.1 +duckdb==0.10.0 +environs==9.5.0 +exceptiongroup==1.2.0 +executing==2.0.1 +fastapi==0.109.2 +ffmpy==0.3.2 +filelock==3.13.1 +fonttools==4.49.0 +frozenlist==1.4.1 +fsspec==2023.10.0 +gradio==3.50.2 +gradio_client==0.6.1 +greenlet==3.0.3 +grpcio==1.60.0 +h11==0.14.0 +hnswlib==0.8.0 +httpcore==1.0.3 +httptools==0.6.1 +httpx==0.26.0 +huggingface-hub==0.20.3 +ibm-cos-sdk==2.13.4 +ibm-cos-sdk-core==2.13.4 +ibm-cos-sdk-s3transfer==2.13.4 +ibm-watson-machine-learning==1.0.347 +idna==3.6 +importlib-metadata==7.0.1 +importlib-resources==6.1.1 +ipykernel==6.29.2 +ipython==8.21.0 +ipywidgets==8.1.2 +jaraco.classes==3.3.1 +jedi==0.19.1 +jeepney==0.8.0 +Jinja2==3.1.3 +jmespath==1.0.1 +joblib==1.3.2 +jsonpatch==1.33 +jsonpointer==2.4 +jsonschema==4.21.1 +jsonschema-specifications==2023.12.1 +jupyter_client==8.6.0 +jupyter_core==5.7.1 +jupyterlab_widgets==3.0.10 +keyring==24.3.0 +kiwisolver==1.4.5 +langchain==0.0.345 +langchain-core==0.0.13 +langsmith==0.0.92 +lomond==0.3.3 +lz4==4.3.3 +markdown-it-py==3.0.0 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+pycryptodome==3.20.0 +pydantic==1.10.14 +pydantic_core==2.16.2 +pydub==0.25.1 +Pygments==2.17.2 +pymilvus==2.3.6 +pyparsing==3.1.1 +python-dateutil==2.8.2 +python-dotenv==1.0.1 +python-multipart==0.0.9 +pytz==2024.1 +PyYAML==6.0.1 +pyzmq==25.1.2 +readme-renderer==42.0 +referencing==0.33.0 +regex==2023.12.25 +requests==2.31.0 +requests-toolbelt==1.0.0 +rfc3986==2.0.0 +rich==13.7.0 +rpds-py==0.18.0 +safetensors==0.4.2 +scikit-learn==1.4.1.post1 +scipy==1.12.0 +SecretStorage==3.3.3 +semantic-version==2.10.0 +sentence-transformers==2.3.1 +sentencepiece==0.2.0 +six==1.16.0 +sniffio==1.3.0 +soupsieve==2.5 +SQLAlchemy==2.0.27 +stack-data==0.6.3 +starlette==0.36.3 +sympy==1.12 +tabulate==0.9.0 +tenacity==8.2.3 +threadpoolctl==3.3.0 +tokenizers==0.15.2 +toolz==0.12.1 +torch==2.2.0 +tornado==6.4 +towhee==1.1.3 +towhee.models==1.1.3 +tqdm==4.66.2 +traitlets==5.14.1 +transformers==4.37.2 +triton==2.2.0 +twine==5.0.0 +typing-inspect==0.9.0 +typing_extensions==4.9.0 +tzdata==2024.1 +ujson==5.9.0 +urllib3==2.1.0 +uvicorn==0.27.1 +uvloop==0.19.0 +watchfiles==0.21.0 +wcwidth==0.2.13 +websockets==11.0.3 +wget==3.2 +widgetsnbextension==4.0.10 +xxhash==3.4.1 +yarl==1.9.4 +zipp==3.17.0 +zstandard==0.22.0 +openai==1.10.0 diff --git a/ai-medical-chatbot-master/5-HuggingFace/style.css b/ai-medical-chatbot-master/5-HuggingFace/style.css new file mode 100644 index 0000000000000000000000000000000000000000..acb3595699672b7fcac37c0598c4c8fbc7098398 --- /dev/null +++ b/ai-medical-chatbot-master/5-HuggingFace/style.css @@ -0,0 +1,73 @@ +/* General Container Styles */ +.gradio-container { + font-family: "IBM Plex Sans", sans-serif; + position: fixed; /* Ensure full-screen coverage */ + top: 0; + left: 0; + width: 100vw; /* Set width to 100% viewport width */ + height: 100vh; /* Set height to 100% viewport height */ + margin: 0; /* Remove margins for full-screen effect */ + padding: 0; /* Remove padding for full-screen background */ + background-color: #212529; /* Dark background color */ + color: #fff; /* Light text color for better readability */ + overflow: hidden; /* Hide potential overflow content */ + background-image: url("https://raw.githubusercontent.com/ruslanmv/ai-medical-chatbot/master/assets/images/background.jpg"); /* Replace with your image path */ + background-size: cover; /* Stretch the image to cover the container */ + background-position: center; /* Center the image horizontally and vertically */ +} +/* Button Styles */ +.gr-button { + color: white; + background: #007bff; /* Use a primary color for the background */ + white-space: nowrap; + border: none; + padding: 10px 20px; + border-radius: 8px; + cursor: pointer; + transition: background-color 0.3s, color 0.3s; +} +.gr-button:hover { + background-color: #0056b3; /* Darken the background color on hover */ +} + +/* Share Button Styles (omitted as not directly affecting dark mode) */ +/* ... */ + +/* Other styles (adjustments for full-screen might be needed) */ +#gallery { + min-height: 22rem; + /* Center the gallery horizontally (optional) */ + margin: auto; + border-bottom-right-radius: 0.5rem !important; + border-bottom-left-radius: 0.5rem !important; + background-color: #212529; /* Dark background color for elements */ +} + +/* Centered Container for the Image */ +.image-container { + max-width: 100%; /* Set the maximum width for the container */ + margin: auto; /* Center the container horizontally */ + padding: 20px; /* Add padding for spacing */ + border: 1px solid #a50909; /* Add a subtle border to the container */ + border-radius: 10px; + overflow: hidden; /* Hide overflow if the image is larger */ + max-height: 22rem; /* Set a maximum height for the container */ + background-color: #212529; /* Dark background color for elements */ +} + +/* Set a fixed size for the image */ +.image-container img { + max-width: 100%; /* Ensure the image fills the container */ + height: auto; /* Maintain aspect ratio */ + max-height: 100%; + border-radius: 10px; + box-shadow: 0px 2px 4px rgba(0, 0, 0, 0.2); +} + +/* Output box styles */ +.gradio-textbox { + background-color: #343a40; /* Dark background color */ + color: #fff; /* Light text color for better readability */ + border-color: #343a40; /* Dark border color */ + border-radius: 8px; +} \ No newline at end of file diff --git a/ai-medical-chatbot-master/6-FineTunning/Fine_Tunning_Medical_Mind_Llama3.ipynb b/ai-medical-chatbot-master/6-FineTunning/Fine_Tunning_Medical_Mind_Llama3.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..7463d204505152a2e8ef04e621acdf9d1ececcce --- /dev/null +++ b/ai-medical-chatbot-master/6-FineTunning/Fine_Tunning_Medical_Mind_Llama3.ipynb @@ -0,0 +1,4925 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ew25zGr2oXpx", + "outputId": "22349eb1-d8d4-47f2-ec49-3a558512ec66" + }, + "outputs": [], + "source": [ + "!pip install tqdm\n", + "!pip install transformers==4.40.1\n", + "!pip install sentencepiece\n", + "!pip install datasets\n", + "!pip install \"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git\"\n", + "!pip install trl\n", + "!pip install triton\n", + "!pip install bitsandbytes\n", + "!pip install --no-deps trl peft accelerate bitsandbytes\n", + "!pip install xformers\n", + "!pip install pytorch-cuda==12.1 torch xformers\n", + "#!pip install --no-deps xformers trl peft accelerate bitsandbytes\n", + "#!pip install \"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git\"\n", + "!pip install hyperopt\n", + "!pip install optuna" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dH4JvbO9oiHE", + "outputId": "399bc210-c095-4807-900f-6b4cf2fe133f" + }, + "outputs": [], + "source": [ + "!python -m xformers.info\n", + "!python -m bitsandbytes\n", + "!nvidia-smi\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "3sl1jjxFMeVx", + "outputId": "f0221fec-8c3f-4fbe-eb8a-e58df86399ce" + }, + "outputs": [], + "source": [ + "import json\n", + "import torch\n", + "from datasets import load_dataset\n", + "from huggingface_hub import notebook_login\n", + "from transformers import TrainingArguments\n", + "from trl import SFTTrainer\n", + "from unsloth import FastLanguageModel\n", + "print(torch.__version__)\n", + "print(torch.version.cuda)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "CIwMK9N7j8Dx" + }, + "outputs": [], + "source": [ + "# Defining the configuration for the base model, LoRA and training\n", + "config = {\n", + " \"hugging_face_username\":\"ruslanmv\",\n", + " \"model_config\": {\n", + " \"base_model\":\"meta-llama/Meta-Llama-3-8B-Instruct\", # The base model\n", + " \"finetuned_model\":\"ruslanmv/Medical-Mind-Llama-3-8b\", # The finetuned model\n", + " \"max_seq_length\": 2048, # The maximum sequence length\n", + " # \"dtype\":torch.float16, # The data type\n", + " # \"dtype\": torch.float32, # Use float32 instead of half CUDA capability < 8\n", + " \"dtype\" : None, # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+\n", + "\n", + " \"load_in_4bit\": True, # Load the model in 4-bit\n", + " },\n", + " \"lora_config\": {\n", + " \"r\": 16, # The number of LoRA layers 8, 16, 32, 64\n", + " \"target_modules\": [\"q_proj\", \"k_proj\", \"v_proj\", \"o_proj\",\n", + " \"gate_proj\", \"up_proj\", \"down_proj\"], # The target modules\n", + " \"lora_alpha\":16, # The alpha value for LoRA\n", + " #\"lora_alpha\":15, # The alpha value for LoRA by search grid\n", + " \"lora_dropout\":0, # The dropout value for LoRA\n", + " \"bias\":\"none\", # The bias for LoRA\n", + " \"use_gradient_checkpointing\":True, # Use gradient checkpointing\n", + " \"use_rslora\":False, # Use RSLora\n", + " \"use_dora\":False, # Use DoRa\n", + " \"loftq_config\":None # The LoFTQ configuration\n", + " },\n", + "\n", + " \"training_config\": {\n", + " \"per_device_train_batch_size\": 2, # The batch size\n", + " #\"per_device_train_batch_size\": 6, # The batch size by search grid\n", + " \"gradient_accumulation_steps\": 4, # The gradient accumulation steps\n", + " #\"gradient_accumulation_steps\": 7, # The gradient accumulation steps by search grid\n", + " \"warmup_steps\": 5, # The warmup steps\n", + " \"max_steps\":0, # The maximum steps (0 if the epochs are defined)\n", + " \"num_train_epochs\": 1, # The number of training epochs(0 if the maximum steps are defined)\n", + " \"learning_rate\": 2e-4, # The learning rate\n", + " #\"learning_rate\": 9.5e-05, # The learning rate by search grid\n", + " \"fp16\": not torch.cuda.is_bf16_supported(), # The fp16\n", + " \"bf16\": torch.cuda.is_bf16_supported(), # The bf16\n", + " \"logging_steps\": 1, # The logging steps\n", + " \"optim\" :\"adamw_8bit\", # The optimizer\n", + " \"weight_decay\" : 0.01, # The weight decay\n", + " \"lr_scheduler_type\": \"linear\", # The learning rate scheduler\n", + " \"seed\" : 42, # The seed\n", + " \"output_dir\" : \"outputs\", # The output directory\n", + " }\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "pyN9TpNj8lUQ" + }, + "outputs": [], + "source": [ + "config_dataset={ \"training_dataset\": {\n", + " \"name\": \"ruslanmv/ai-medical-dataset\", # The dataset name(huggingface/datasets)\n", + " \"split\": \"train\", # The dataset split\n", + " \"input_fields\": [\"question\", \"context\"] ,# The input fields\n", + " \"input_field\": \"text\",# The input field\n", + " },\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ztqrczgo9Zrg", + "outputId": "09eaabca-aba6-485a-8bab-6ddd96b077b9" + }, + "outputs": [], + "source": [ + "# Loading the model and the tokinizer for the model\n", + "model, tokenizer = FastLanguageModel.from_pretrained(\n", + " model_name = config.get(\"model_config\").get(\"base_model\"),\n", + " max_seq_length = config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dtype = config.get(\"model_config\").get(\"dtype\"),\n", + " load_in_4bit = config.get(\"model_config\").get(\"load_in_4bit\"),\n", + "\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "hSQMljYD9hCh", + "outputId": "7081b216-b5a7-4b36-fe01-91c166d9e491" + }, + "outputs": [], + "source": [ + "# Setup for QLoRA/LoRA peft of the base model\n", + "model = FastLanguageModel.get_peft_model(\n", + " model,\n", + " r = config.get(\"lora_config\").get(\"r\"),\n", + " target_modules = config.get(\"lora_config\").get(\"target_modules\"),\n", + " lora_alpha = config.get(\"lora_config\").get(\"lora_alpha\"),\n", + " lora_dropout = config.get(\"lora_config\").get(\"lora_dropout\"),\n", + " bias = config.get(\"lora_config\").get(\"bias\"),\n", + " use_gradient_checkpointing = config.get(\"lora_config\").get(\"use_gradient_checkpointing\"),\n", + " random_state = 42,\n", + " use_rslora = config.get(\"lora_config\").get(\"use_rslora\"),\n", + " use_dora = config.get(\"lora_config\").get(\"use_dora\"),\n", + " loftq_config = config.get(\"lora_config\").get(\"loftq_config\"),\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 131, + "referenced_widgets": [ + "5d1fbd3c62d94df7befdefc451221414", + "8ad6abb48f38469f9d399eea8f5e5b70", + "6cea0da24cf54811a43168c606759bab", + "eb8c88f5c06c49fe9099371b3cf112ae", + "89a1354722e640758978befc06ed4a78", + "39d3b72ab6214bcf9b0bb6b6294e957c", + "696e82ec6a174974a90d5abc7c101ee7", + "dade882aca304a31b693a2c58807d825", + "02fc530028ea4d538b7f6b48463ae700", + "00eea4b0c6e44c62900ea8e7d919efe9", + "fe17bedb5ef04d8b9e064fa1e0d75185", + "bb1156b7d349440d9cc8a2f0328465a7", + "23a71f8847e647daba35e495706fc846", + "3f7afd4bd28842cbb73e62c155667030", + "a419499622cd4374937423a79677298f", + "64539b4212fe4d989976f56369bb746b", + "22ea45365d21439fb5069974bbe69711", + "bd087d0aa3214c5dbecc9b0bd4d976df", + "9a5fd3a68fd1445f92bea51a7fec3e6b", + "37803098ceed4528bb690ebee028c840", + "b93514308ae44afbb1a0511f5f9c6ddf", + "58b932a03b2c4aa4891d541f186244b9", + "3564e3cf0fe84281838d84525794e735", + "912164947c5847908424f3e60c5adb64", + "7517ce80636040e29665a9353afab183", + "e14b9d980a1a41fb9e81385cb0f73d3a", + "ada78aafba3f47ab8eb45cf3c83a6805", + "ff108c92fb5547869ee545cf9a094b07", + "2c5564fb033346afbe7692a24a52b302", + "bb078c8c1f6a48359dc654d91ece684d", + "9b9322336b564a409086955ebda07fc3", + "9bceb9eddb2147c1abbf3391c70e6784", + "8a195771bdc0462e8f9fbb60eb9141b1" + ] + }, + "id": "ty1UIoRd9Hlv", + "outputId": "59bba8f0-2329-465f-dbe7-b5ee5adf3ee2" + }, + "outputs": [], + "source": [ + "from transformers import AutoModelForCausalLM, BitsAndBytesConfig, AutoTokenizer\n", + "tokenizer = AutoTokenizer.from_pretrained(config.get(\"model_config\").get(\"base_model\"))\n", + "\n", + "\n", + "tokenizer.add_eos_token = True\n", + "tokenizer.pad_token_id = 0\n", + "tokenizer.padding_side = \"left\"\n", + "\n", + "# Loading the training dataset\n", + "train_dataset = load_dataset(config_dataset.get(\"training_dataset\").get(\"name\"), split = config_dataset.get(\"training_dataset\").get(\"split\"))\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Vk-n3n_x9wh1" + }, + "outputs": [], + "source": [ + "# Select the first 100 rows of the dataset\n", + "test_dataset = train_dataset.select(range(100))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 174, + "referenced_widgets": [ + "e3bd7f85ce194cd4b697c2eb82038658", + "734b6d3e3406403293c4bc955a643528", + "0005f2d9fe1e4cc98ea58b0c2868b433", + "be6162f66e594d3ebd8c53ebab3bbfa6", + "7e11cccce8be49008f8db3a0c3ea603d", + "dc3b2edc3f5d480a93b57b15b4444608", + "7967d420aff1414e9fe53eb04c928eb4", + "45c1d5b0df0e420a87f791dd4cf0e425", + "9ed49f1a099846a3a65cd6608bafb0e4", + "963c0aa5620b4ea8b5a903894646121c", + "31a203cdd2f54cda8a05214844888156" + ] + }, + "id": "x8U2HpEh-OFi", + "outputId": "837b69f8-88f2-48a9-8e11-6178b4a5c269" + }, + "outputs": [], + "source": [ + "medical_prompt = \"\"\"You are an AI Medical Assistant Chatbot, trained to answer medical questions. Below is an instruction that describes a task, paired with an response context. Write a response that appropriately completes the request.\n", + "\n", + "### Instruction:\n", + "{}\n", + "\n", + "\n", + "### Response:\n", + "{}\"\"\"\n", + "\n", + "EOS_TOKEN = tokenizer.eos_token # Must add EOS_TOKEN\n", + "def formatting_prompts_func(examples):\n", + " instructions = examples[\"question\"]\n", + " outputs = examples[\"context\"]\n", + " texts = []\n", + " for instruction, output in zip(instructions, outputs):\n", + " # Must add EOS_TOKEN, otherwise your generation will go on forever!\n", + " text = medical_prompt.format(instruction, output) + EOS_TOKEN\n", + " texts.append(text)\n", + " return { \"text\" : texts, }\n", + "pass\n", + "\n", + "test_dataset= test_dataset.map(formatting_prompts_func, batched = True,)\n", + "\n", + "\n", + "\n", + "test_dataset['text'][1]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "DKAZ3zhx-TZA", + "outputId": "5fc0788a-3d11-4bcf-e502-717e7b3b5b2c" + }, + "outputs": [], + "source": [ + "test_dataset" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 140, + "referenced_widgets": [ + "72eca1e2871b458abd3383d9711215a2", + "058b2b9959b84b6f9f5d3862ef53d029", + "85d4879bd7d64766905db34cef052fed", + "44f189b81bbd48ca8cb146ead641d2b5", + "f89c5c949e984361bce7f97d86d2a2e5", + "7807f312425b4f4d9249aa1ac77d7461", + "d8e7ea9552a84b8284b31d77090b54af", + "0058ed544fed4272848a891a68b9adc0", + "33fb10908c23457aa4796626102fc8c5", + "e903140c8c794c48b231924d3975b7a6", + "7e74d789c82747e0b5066a00b9e36c1d" + ] + }, + "id": "JkMVp2ZplGPA", + "outputId": "3c0777d0-e2a1-4a27-f035-615da4495e45" + }, + "outputs": [], + "source": [ + "# Setting up the trainer for the model\n", + "trainer_test = SFTTrainer(\n", + " model = model,\n", + " tokenizer = tokenizer,\n", + " train_dataset = test_dataset,\n", + " dataset_text_field = config_dataset.get(\"training_dataset\").get(\"input_field\"),\n", + " max_seq_length = config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dataset_num_proc = 2,\n", + " packing = False,\n", + " args = TrainingArguments(\n", + " per_device_train_batch_size = config.get(\"training_config\").get(\"per_device_train_batch_size\"),\n", + " gradient_accumulation_steps = config.get(\"training_config\").get(\"gradient_accumulation_steps\"),\n", + " warmup_steps = config.get(\"training_config\").get(\"warmup_steps\"),\n", + " max_steps = config.get(\"training_config\").get(\"max_steps\"),\n", + " num_train_epochs= config.get(\"training_config\").get(\"num_train_epochs\"),\n", + " learning_rate = config.get(\"training_config\").get(\"learning_rate\"),\n", + " fp16 = config.get(\"training_config\").get(\"fp16\"),\n", + " bf16 = config.get(\"training_config\").get(\"bf16\"),\n", + " logging_steps = config.get(\"training_config\").get(\"logging_steps\"),\n", + " optim = config.get(\"training_config\").get(\"optim\"),\n", + " weight_decay = config.get(\"training_config\").get(\"weight_decay\"),\n", + " lr_scheduler_type = config.get(\"training_config\").get(\"lr_scheduler_type\"),\n", + " seed = 42,\n", + " output_dir = config.get(\"training_config\").get(\"output_dir\"),\n", + " ),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ZeRzS2N0kADu" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "t00fCPO9zf8x" + }, + "source": [ + "## Method 1 optuna" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 725 + }, + "id": "H_MOQOYBj5jx", + "outputId": "699f77e3-8754-4087-dd78-565bca527d08" + }, + "outputs": [], + "source": [ + "from optuna import create_study, Trial\n", + "\n", + "# Define search space\n", + "search_space = {\n", + " \"learning_rate\": [1e-5, 5e-5, 1e-4, 2e-4],\n", + " \"per_device_train_batch_size\": [2, 4, 8],\n", + " \"lora_alpha\": [8, 16, 32],\n", + "}\n", + "\n", + "def objective(trial):\n", + " # Set hyperparameters based on trial values\n", + " config[\"training_config\"][\"learning_rate\"] = trial.suggest_float(\"learning_rate\", search_space[\"learning_rate\"][0], search_space[\"learning_rate\"][-1])\n", + " config[\"training_config\"][\"per_device_train_batch_size\"] = trial.suggest_int(\"per_device_train_batch_size\", search_space[\"per_device_train_batch_size\"][0], search_space[\"per_device_train_batch_size\"][-1])\n", + " config[\"lora_config\"][\"lora_alpha\"] = trial.suggest_int(\"lora_alpha\", search_space[\"lora_alpha\"][0], search_space[\"lora_alpha\"][-1])\n", + "\n", + " # Train the model with the current hyperparameters\n", + " try:\n", + " trainer_stats = trainer_test.train() # Assuming this trains the model\n", + " return trainer_stats[\"train_loss\"] # Assuming this is the metric to minimize\n", + " except Exception as e:\n", + " return float(\"inf\") # Assign a high value if training fails\n", + "\n", + "study = create_study(direction=\"minimize\")\n", + "study.optimize(objective, n_trials=2) # Adjust the number of trials\n", + "\n", + "# Access the best trial and its hyperparameters after optimization\n", + "best_trial = study.best_trial\n", + "best_params = best_trial.params\n", + "\n", + "print(\"Best Trial:\", best_trial.number)\n", + "print(\"Best Hyperparameters:\", best_params)\n", + "print(\"Best Training Loss:\", best_trial.value)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "-84LcTvQ_xtH" + }, + "source": [ + "## Analyzing Hyperparameters:\n", + "\n", + "* **Batch Size**: Generally, increasing the batch size can improve\n", + "\n", + "\n", + "training speed by utilizing hardware resources more efficiently. However, there's a limit beyond which performance degrades. You can tune the batch size within a reasonable range (e.g., 2, 4, 8, 16) to see its impact.\n", + "* **Learning Rate**: A higher learning rate can accelerate training initially. But, a too high value can lead to unstable training and potentially slower convergence. Consider a range of learning rates (e.g., log-uniform distribution between 1e-5 and 1e-3) for exploration.\n", + "* **Gradient Accumulation Steps**: This technique accumulates gradients over multiple batches before updating model weights. It can help reduce memory requirements but might slow down training per epoch. Experiment with different accumulation steps (e.g., 1, 2, 4) to find a balance.\n", + "* **Optimizer Choice**: Some optimizers like Adam or SGD with momentum can be faster than others depending on the model and dataset. Explore different optimizers and their hyperparameters (e.g., momentum coefficient) to see if they lead to faster convergence.\n", + "## Additional Considerations:\n", + "\n", + "Early Stopping: Implement early stopping to automatically terminate training if the validation loss doesn't improve for a certain number of epochs. This can save training time if the model starts overfitting.\n", + "Warmup Steps: A gradual increase in the learning rate during the initial training phase (warmup steps) can improve stability and potentially accelerate convergence compared to a fixed learning rate from the beginning.\n", + "\n", + "\n", + "* Experimentation and Profiling:\n", + "\n", + "The best hyperparameters for faster training depend on your specific model, dataset, and hardware. You'll need to experiment with different configurations using tools like Hyperopt to find the optimal settings.\n", + "Consider using profiling tools to identify bottlenecks in your training pipeline. This can help you focus on optimizing specific parts of the training process that are most time-consuming.\n", + "By analyzing these hyperparameters and implementing techniques like early stopping and warmup steps, you can potentially achieve faster fine-tuning while maintaining good model performance." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "SdhZf88L_xdk" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "jRbfR2n1wZrt" + }, + "outputs": [], + "source": [ + "## Method 1b Speed" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 636 + }, + "id": "uf-zwbRPteGH", + "outputId": "33a23501-2a5b-4c7d-faf8-e97e4c653811" + }, + "outputs": [], + "source": [ + "from optuna import create_study, Trial\n", + "import time # Assuming you can use time.time() to measure training time\n", + "\n", + "# Define search space with additional hyperparameter\n", + "search_space = {\n", + " \"learning_rate\": [1e-5, 5e-5, 1e-4, 2e-4],\n", + " \"per_device_train_batch_size\": [2, 4, 8],\n", + " \"lora_alpha\": [8, 16, 32],\n", + " \"gradient_accumulation_steps\": [1, 2, 4, 8], # Added gradient accumulation steps\n", + "}\n", + "\n", + "def objective(trial):\n", + " # Set hyperparameters based on trial values\n", + " config[\"training_config\"][\"learning_rate\"] = trial.suggest_float(\"learning_rate\", search_space[\"learning_rate\"][0], search_space[\"learning_rate\"][-1])\n", + " config[\"training_config\"][\"per_device_train_batch_size\"] = trial.suggest_int(\"per_device_train_batch_size\", search_space[\"per_device_train_batch_size\"][0], search_space[\"per_device_train_batch_size\"][-1])\n", + " config[\"training_config\"][\"gradient_accumulation_steps\"] = trial.suggest_int(\"gradient_accumulation_steps\", search_space[\"gradient_accumulation_steps\"][0], search_space[\"gradient_accumulation_steps\"][-1])\n", + " config[\"lora_config\"][\"lora_alpha\"] = trial.suggest_int(\"lora_alpha\", search_space[\"lora_alpha\"][0], search_space[\"lora_alpha\"][-1])\n", + "\n", + " # Train the model with the current hyperparameters\n", + " start_time = time.time()\n", + " try:\n", + " trainer_stats = trainer_test.train()\n", + " training_time = time.time() - start_time\n", + " return training_time # Minimize training time\n", + " except Exception as e:\n", + " return float(\"inf\") # Assign a high value if training fails\n", + "\n", + "study = create_study(direction=\"minimize\")\n", + "study.optimize(objective, n_trials=2) # Adjust the number of trials\n", + "\n", + "# Access the best trial and its hyperparameters after optimization\n", + "best_trial = study.best_trial\n", + "best_params = best_trial.params\n", + "\n", + "print(\"Best Trial:\", best_trial.number)\n", + "print(\"Best Hyperparameters (Likely Fastest):\", best_params)\n", + "print(\"Best Training Time:\", best_trial.value, \"seconds\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "1Vz6NAbxxxlM", + "outputId": "ec166d41-fa4d-40a3-df3e-f44890010f07" + }, + "outputs": [], + "source": [ + "import hyperopt\n", + "from hyperopt import hp\n", + "from hyperopt import Trials\n", + "from hyperopt import fmin, tpe, Trials\n", + "# Define the search space for hyperparameters\n", + "space = {\n", + " 'learning_rate': hp.loguniform('learning_rate', -5, -1), # Learning rate in log scale\n", + " 'lora_alpha': hp.quniform('lora_alpha', 1, 32, 1), # LoRA alpha with quantized steps\n", + " 'lora_dropout': hp.uniform('lora_dropout', 0, 0.5), # LoRA dropout rate\n", + " # Uncomment these if you want to tune them\n", + " # 'per_device_train_batch_size': hp.quniform('per_device_train_batch_size', 2, 16, 1),\n", + " # 'gradient_accumulation_steps': hp.quniform('gradient_accumulation_steps', 1, 8, 1),\n", + " # 'warmup_steps': hp.quniform('warmup_steps', 0, 1000, 1),\n", + " # 'num_train_epochs': hp.quniform('num_train_epochs', 1, 5, 1),\n", + "}\n", + "def objective(params):\n", + " # Set hyperparameters in the config dictionary (assuming it's defined elsewhere)\n", + " config['training_config']['learning_rate'] = params['learning_rate']\n", + " config['lora_config']['lora_alpha'] = params['lora_alpha']\n", + " config['lora_config']['lora_dropout'] = params['lora_dropout']\n", + " # ... Set other hyperparameters from params dictionary ...\n", + " #config['training_config']['per_device_train_batch_size'] = params['per_device_train_batch_size']\n", + " #config['training_config']['gradient_accumulation_steps'] = params['gradient_accumulation_steps']\n", + " #config['training_config']['warmup_steps'] = params['warmup_steps']\n", + " #config['training_config']['num_train_epochs'] = params['num_train_epochs']\n", + "\n", + " # Load the model and tokenizer (assuming these are defined elsewhere)\n", + " try:\n", + " model, tokenizer = FastLanguageModel.from_pretrained(\n", + " model_name=config.get(\"model_config\").get(\"base_model\"),\n", + " max_seq_length=config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dtype=config.get(\"model_config\").get(\"dtype\"),\n", + " load_in_4bit=config.get(\"model_config\").get(\"load_in_4bit\"),\n", + " )\n", + " except Exception as e:\n", + " print(f\"Error loading model and tokenizer: {e}\")\n", + " return float(\"inf\") # Return high value for errors\n", + "\n", + " # Setup LoRA for the model (assuming FastLanguageModel supports LoRA)\n", + " try:\n", + " model = FastLanguageModel.get_peft_model(\n", + " model,\n", + " r=config.get(\"lora_config\").get(\"r\"),\n", + " target_modules=config.get(\"lora_config\").get(\"target_modules\"),\n", + " lora_alpha=params['lora_alpha'],\n", + " lora_dropout=params['lora_dropout'],\n", + " bias=config.get(\"lora_config\").get(\"bias\"),\n", + " use_gradient_checkpointing=config.get(\"lora_config\").get(\"use_gradient_checkpointing\"),\n", + " random_state=42,\n", + " use_rslora=config.get(\"lora_config\").get(\"use_rslora\"),\n", + " use_dora=config.get(\"lora_config\").get(\"use_dora\"),\n", + " loftq_config=config.get(\"lora_config\").get(\"loftq_config\")\n", + " )\n", + " except Exception as e:\n", + " print(f\"Error setting up LoRA: {e}\")\n", + " return float(\"inf\") # Return high value for errors\n", + " # Train the model on the test dataset (assuming SFTTrainer and training arguments are defined)\n", + " try:\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " tokenizer=tokenizer,\n", + " train_dataset=test_dataset,\n", + " dataset_text_field=config_dataset.get(\"training_dataset\").get(\"input_field\"),\n", + " max_seq_length=config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dataset_num_proc=2,\n", + " packing=False,\n", + " args=TrainingArguments(\n", + " per_device_train_batch_size=int(params['per_device_train_batch_size']),\n", + " gradient_accumulation_steps=params['gradient_accumulation_steps'],\n", + " warmup_steps=params['warmup_steps'],\n", + " max_steps=config.get(\"training_config\").get(\"max_steps\"),\n", + " num_train_epochs=params['num_train_epochs'],\n", + " learning_rate=params['learning_rate'],\n", + " fp16=config.get(\"training_config\").get(\"fp16\"),\n", + " bf16=config.get(\"training_config\").get(\"bf16\"),\n", + " logging_steps=config.get(\"training_config\").get(\"logging_steps\"),\n", + " optim=config.get(\"training_config\").get(\"optim\"),\n", + " weight_decay=config.get(\"training_config\").get(\"weight_decay\"),\n", + " lr_scheduler_type=config.get(\"training_config\").get(\"lr_scheduler_type\"),\n", + " seed=42,\n", + " output_dir=config.get(\"training_config\").get(\"output_dir\")\n", + " )\n", + " )\n", + " trainer_stats = trainer.train()\n", + " return trainer_stats.loss # Assuming loss is the metric to minimize\n", + " except Exception as e:\n", + " print(f\"Error during training: {e}\")\n", + " return float(\"inf\") # Return high value for failed trials\n", + "\n", + "# Create a Trials object to track hyperparameter evaluations\n", + "trials = Trials()\n", + "\n", + "# Run hyperparameter optimization using TPE algorithm\n", + "best = fmin(objective, space, algo=tpe.suggest, trials=trials, max_evals=2)\n", + "\n", + "# Print the best hyperparameters found during optimization\n", + "print(\"Best Hyperparameters:\", best)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "RnjkQJ852_c2", + "outputId": "6dd97901-3c17-4d46-d04f-39a7a335a760" + }, + "outputs": [], + "source": [ + "import hyperopt\n", + "from hyperopt import hp\n", + "from hyperopt import Trials\n", + "from hyperopt import fmin, tpe, Trials\n", + "\n", + "# Define the search space for hyperparameters with uncommented additions\n", + "space = {\n", + " 'learning_rate': hp.loguniform('learning_rate', -5, -1), # Learning rate in log scale\n", + " 'lora_alpha': hp.quniform('lora_alpha', 1, 32, 1), # LoRA alpha with quantized steps\n", + " 'lora_dropout': hp.uniform('lora_dropout', 0, 0.5), # LoRA dropout rate\n", + " 'per_device_train_batch_size': hp.quniform('per_device_train_batch_size', 2, 16, 1), # Added for exploration\n", + " 'gradient_accumulation_steps': hp.quniform('gradient_accumulation_steps', 1, 8, 1), # Added for exploration\n", + " # Uncomment these if you want to tune other hyperparameters\n", + " # 'warmup_steps': hp.quniform('warmup_steps', 0, 1000, 1),\n", + " # 'num_train_epochs': hp.quniform('num_train_epochs', 1, 5, 1),\n", + "}\n", + "\n", + "\n", + "def objective(params):\n", + " # Set hyperparameters in the config dictionary (assuming it's defined elsewhere)\n", + " config['training_config']['learning_rate'] = params['learning_rate']\n", + " config['lora_config']['lora_alpha'] = params['lora_alpha']\n", + " config['lora_config']['lora_dropout'] = params['lora_dropout']\n", + " config['training_config']['per_device_train_batch_size'] = params['per_device_train_batch_size']\n", + " config['training_config']['gradient_accumulation_steps'] = params['gradient_accumulation_steps']\n", + " # ... Set other hyperparameters from params dictionary ...\n", + "\n", + " # Load the model and tokenizer (assuming these are defined elsewhere)\n", + " try:\n", + " model, tokenizer = FastLanguageModel.from_pretrained(\n", + " model_name=config.get(\"model_config\").get(\"base_model\"),\n", + " max_seq_length=config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dtype=config.get(\"model_config\").get(\"dtype\"),\n", + " load_in_4bit=config.get(\"model_config\").get(\"load_in_4bit\"),\n", + " )\n", + " except Exception as e:\n", + " print(f\"Error loading model and tokenizer: {e}\")\n", + " return float(\"inf\") # Return high value for errors\n", + "\n", + " # Setup LoRA for the model (assuming FastLanguageModel supports LoRA)\n", + " try:\n", + " model = FastLanguageModel.get_peft_model(\n", + " model,\n", + " r=config.get(\"lora_config\").get(\"r\"),\n", + " target_modules=config.get(\"lora_config\").get(\"target_modules\"),\n", + " lora_alpha=params['lora_alpha'],\n", + " lora_dropout=params['lora_dropout'],\n", + " bias=config.get(\"lora_config\").get(\"bias\"),\n", + " use_gradient_checkpointing=config.get(\"lora_config\").get(\"use_gradient_checkpointing\"),\n", + " random_state=42,\n", + " use_rslora=config.get(\"lora_config\").get(\"use_rslora\"),\n", + " use_dora=config.get(\"lora_config\").get(\"use_dora\"),\n", + " loftq_config=config.get(\"lora_config\").get(\"loftq_config\")\n", + " )\n", + " except Exception as e:\n", + " print(f\"Error setting up LoRA: {e}\")\n", + " return float(\"inf\") # Return high value for errors\n", + "\n", + " # Train the model on the test dataset (assuming SFTTrainer and training arguments are defined)\n", + " try:\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " tokenizer=tokenizer,\n", + " train_dataset=test_dataset,\n", + " dataset_text_field=config_dataset.get(\"training_dataset\").get(\"input_field\"),\n", + " max_seq_length=config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dataset_num_proc=2,\n", + " packing=False,\n", + " args=TrainingArguments(\n", + " per_device_train_batch_size=int(params['per_device_train_batch_size']),\n", + " gradient_accumulation_steps=params['gradient_accumulation_steps'],\n", + " warmup_steps=params['warmup_steps'],\n", + " max_steps=config.get(\"training_config\").get(\"max_steps\"),\n", + " num_train_epochs=params['num_train_epochs'],\n", + " learning_rate=params['learning_rate'],\n", + " fp16=config.get(\"training_config\").get(\"fp16\"),\n", + " bf16=config.get(\"training_config\").get(\"bf16\"),\n", + " logging_steps=config.get(\"training_config\").get(\"logging_steps\"),\n", + " optim=config.get(\"training_config\").get(\"optim\"),\n", + " weight_decay=config.get(\"training_config\").get(\"weight_decay\"),\n", + " lr_scheduler_type=config.get(\"training_config\").get(\"lr_scheduler_type\"),\n", + " seed=42,\n", + " output_dir=config.get(\"training_config\").get(\"output_dir\")\n", + " )\n", + " )\n", + " trainer_stats = trainer.train()\n", + " return trainer_stats.loss # Assuming loss is the metric to minimize\n", + " except Exception as e:\n", + " print(f\"Error during training: {e}\")\n", + " return float(\"inf\") # Return high value for failed trials\n", + "\n", + "# Create a Trials object to track hyperparameter evaluations\n", + "trials = Trials()\n", + "\n", + "# Run hyperparameter optimization using TPE algorithm\n", + "best = fmin(objective, space, algo=tpe.suggest, trials=trials, max_evals=2)\n", + "\n", + "# Print the best hyperparameters found during optimization\n", + "print(\"Best Hyperparameters:\", best)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ID7nFKsV5urO" + }, + "outputs": [], + "source": [ + "## Method" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "xp6S8LGg4lUG", + "outputId": "537667cd-7711-4d10-e2da-d2337b80c43a" + }, + "outputs": [], + "source": [ + "import hyperopt\n", + "from hyperopt import hp\n", + "from hyperopt import Trials\n", + "from hyperopt import fmin, tpe, Trials\n", + "import time # Import time for measuring training duration\n", + "\n", + "# Define the search space for hyperparameters with uncommented additions\n", + "space = {\n", + " 'learning_rate': hp.loguniform('learning_rate', -5, -1), # Learning rate in log scale\n", + " 'lora_alpha': hp.quniform('lora_alpha', 1, 32, 1), # LoRA alpha with quantized steps\n", + " 'lora_dropout': hp.uniform('lora_dropout', 0, 0.5), # LoRA dropout rate\n", + " 'per_device_train_batch_size': hp.quniform('per_device_train_batch_size', 2, 16, 1), # Added for exploration\n", + " 'gradient_accumulation_steps': hp.quniform('gradient_accumulation_steps', 1, 8, 1), # Added for exploration\n", + " # Uncomment these if you want to tune other hyperparameters\n", + " # 'warmup_steps': hp.quniform('warmup_steps', 0, 1000, 1),\n", + " # 'num_train_epochs': hp.quniform('num_train_epochs', 1, 5, 1),\n", + "}\n", + "\n", + "\n", + "def objective(params):\n", + " # Set hyperparameters in the config dictionary (assuming it's defined elsewhere)\n", + " config['training_config']['learning_rate'] = params['learning_rate']\n", + " config['lora_config']['lora_alpha'] = params['lora_alpha']\n", + " config['lora_config']['lora_dropout'] = params['lora_dropout']\n", + " config['training_config']['per_device_train_batch_size'] = params['per_device_train_batch_size']\n", + " config['training_config']['gradient_accumulation_steps'] = params['gradient_accumulation_steps']\n", + " # ... Set other hyperparameters from params dictionary ...\n", + "\n", + " # Load the model and tokenizer (assuming these are defined elsewhere)\n", + " try:\n", + " model, tokenizer = FastLanguageModel.from_pretrained(\n", + " model_name=config.get(\"model_config\").get(\"base_model\"),\n", + " max_seq_length=config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dtype=config.get(\"model_config\").get(\"dtype\"),\n", + " load_in_4bit=config.get(\"model_config\").get(\"load_in_4bit\"),\n", + " )\n", + " except Exception as e:\n", + " print(f\"Error loading model and tokenizer: {e}\")\n", + " return float(\"inf\") # Return high value for errors\n", + "\n", + " # Setup LoRA for the model (assuming FastLanguageModel supports LoRA)\n", + " try:\n", + " model = FastLanguageModel.get_peft_model(\n", + " model,\n", + " r=config.get(\"lora_config\").get(\"r\"),\n", + " target_modules=config.get(\"lora_config\").get(\"target_modules\"),\n", + " lora_alpha=params['lora_alpha'],\n", + " lora_dropout=params['lora_dropout'],\n", + " bias=config.get(\"lora_config\").get(\"bias\"),\n", + " use_gradient_checkpointing=config.get(\"lora_config\").get(\"use_gradient_checkpointing\"),\n", + " random_state=42,\n", + " use_rslora=config.get(\"lora_config\").get(\"use_rslora\"),\n", + " use_dora=config.get(\"lora_config\").get(\"use_dora\"),\n", + " loftq_config=config.get(\"lora_config\").get(\"loftq_config\")\n", + " )\n", + " except Exception as e:\n", + " print(f\"Error setting up LoRA: {e}\")\n", + " return float(\"inf\") # Return high value for errors\n", + "\n", + " # Train the model on the test dataset (assuming SFTTrainer and training arguments are defined)\n", + " try:\n", + " start_time = time.time() # Measure training start time\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " tokenizer=tokenizer,\n", + " train_dataset=test_dataset,\n", + " dataset_text_field=config_dataset.get(\"training_dataset\").get(\"input_field\"),\n", + " max_seq_length=config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dataset_num_proc=2,\n", + " packing=False,\n", + " args=TrainingArguments(\n", + " per_device_train_batch_size=int(params['per_device_train_batch_size']),\n", + " gradient_accumulation_steps=params['gradient_accumulation_steps'],\n", + " warmup_steps=params['warmup_steps'],\n", + " max_steps=config.get(\"training_config\").get(\"max_steps\"),\n", + " num_train_epochs=params['num_train_epochs'],\n", + " learning_rate=params['learning_rate'],\n", + " fp16=config.get(\"training_config\").get(\"fp16\"),\n", + " bf16=config.get(\"training_config\").get(\"bf16\"),\n", + " logging_steps=config.get(\"training_config\").get(\"logging_steps\"),\n", + " optim=config.get(\"training_config\").get(\"optim\"),\n", + " weight_decay=config.get(\"training_config\").get(\"weight_decay\"),\n", + " lr_scheduler_type=config.get(\"training_config\").get(\"lr_scheduler_type\"),\n", + " seed=42,\n", + " output_dir=config.get(\"training_config\").get(\"output_dir\")\n", + " )\n", + " )\n", + " trainer_stats = trainer.train()\n", + " end_time = time.time() # Measure training end time\n", + " training_time = end_time - start_time # Calculate training time\n", + "\n", + " return training_time # Return training time for minimization\n", + " except Exception as e:\n", + " print(f\"Error during training: {e}\")\n", + " return float(\"inf\") # Return high value for failed trials\n", + "\n", + "# Create a Trials object to track hyperparameter evaluations\n", + "trials = Trials()\n", + "\n", + "# Run hyperparameter optimization using TPE algorithm\n", + "best = fmin(objective, space, algo=tpe.suggest, trials=trials, max_evals=2)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "1LIpTKWI5NTV", + "outputId": "930484d7-c820-4cd3-80ed-f74ae6761346" + }, + "outputs": [], + "source": [ + "# Print the best hyperparameters found during optimization\n", + "print(\"Best Hyperparameters:\", best)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Y70d0UUS5Izr" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "vKqIDJIGYV11" + }, + "source": [ + "# Hyperparameter search\n", + "**Step 1: Define the Hyperparameter Search Space**\n", + "We need to define the search space for the hyperparameters we want to tune. For example, let's say we want to tune the following hyperparameters:\n", + "\n", + "* `learning_rate`\n", + "* `per_device_train_batch_size`\n", + "* `gradient_accumulation_steps`\n", + "* `warmup_steps`\n", + "* `num_train_epochs`\n", + "* `lora_alpha`\n", + "* `lora_dropout`\n", + "\n", + "We can define the search space as follows:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ETCIc-5JYvEq" + }, + "outputs": [], + "source": [ + "import hyperopt\n", + "from hyperopt import hp\n", + "from hyperopt import Trials\n", + "from hyperopt import fmin, tpe, Trials\n", + "# Define the search space for hyperparameters\n", + "space = {\n", + " 'learning_rate': hp.loguniform('learning_rate', -5, -1), # Learning rate in log scale\n", + " 'lora_alpha': hp.quniform('lora_alpha', 1, 32, 1), # LoRA alpha with quantized steps\n", + " 'lora_dropout': hp.uniform('lora_dropout', 0, 0.5), # LoRA dropout rate\n", + " # Uncomment these if you want to tune them\n", + " # 'per_device_train_batch_size': hp.quniform('per_device_train_batch_size', 2, 16, 1),\n", + " # 'gradient_accumulation_steps': hp.quniform('gradient_accumulation_steps', 1, 8, 1),\n", + " # 'warmup_steps': hp.quniform('warmup_steps', 0, 1000, 1),\n", + " # 'num_train_epochs': hp.quniform('num_train_epochs', 1, 5, 1),\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "t1i7r2glY2Df" + }, + "source": [ + "**Step 2. Define the Objective Function**\n", + "\n", + "The objective function is a function that takes in the hyperparameters, sets them in the `config` dictionary, trains the model, and returns the loss or metric to minimize. We need to modify the previous fine-tuning code to define the objective function." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "mUTbsbJQb08e" + }, + "outputs": [], + "source": [ + "def objective(params):\n", + " # Set hyperparameters in the config dictionary (assuming it's defined elsewhere)\n", + " config['training_config']['learning_rate'] = params['learning_rate']\n", + " config['lora_config']['lora_alpha'] = params['lora_alpha']\n", + " config['lora_config']['lora_dropout'] = params['lora_dropout']\n", + " # ... Set other hyperparameters from params dictionary ...\n", + " #config['training_config']['per_device_train_batch_size'] = params['per_device_train_batch_size']\n", + " #config['training_config']['gradient_accumulation_steps'] = params['gradient_accumulation_steps']\n", + " #config['training_config']['warmup_steps'] = params['warmup_steps']\n", + " #config['training_config']['num_train_epochs'] = params['num_train_epochs']\n", + "\n", + " # Load the model and tokenizer (assuming these are defined elsewhere)\n", + " try:\n", + " model, tokenizer = FastLanguageModel.from_pretrained(\n", + " model_name=config.get(\"model_config\").get(\"base_model\"),\n", + " max_seq_length=config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dtype=config.get(\"model_config\").get(\"dtype\"),\n", + " load_in_4bit=config.get(\"model_config\").get(\"load_in_4bit\"),\n", + " )\n", + " except Exception as e:\n", + " print(f\"Error loading model and tokenizer: {e}\")\n", + " return float(\"inf\") # Return high value for errors\n", + "\n", + " # Setup LoRA for the model (assuming FastLanguageModel supports LoRA)\n", + " try:\n", + " model = FastLanguageModel.get_peft_model(\n", + " model,\n", + " r=config.get(\"lora_config\").get(\"r\"),\n", + " target_modules=config.get(\"lora_config\").get(\"target_modules\"),\n", + " lora_alpha=params['lora_alpha'],\n", + " lora_dropout=params['lora_dropout'],\n", + " bias=config.get(\"lora_config\").get(\"bias\"),\n", + " use_gradient_checkpointing=config.get(\"lora_config\").get(\"use_gradient_checkpointing\"),\n", + " random_state=42,\n", + " use_rslora=config.get(\"lora_config\").get(\"use_rslora\"),\n", + " use_dora=config.get(\"lora_config\").get(\"use_dora\"),\n", + " loftq_config=config.get(\"lora_config\").get(\"loftq_config\")\n", + " )\n", + " except Exception as e:\n", + " print(f\"Error setting up LoRA: {e}\")\n", + " return float(\"inf\") # Return high value for errors\n", + " # Train the model on the test dataset (assuming SFTTrainer and training arguments are defined)\n", + " try:\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " tokenizer=tokenizer,\n", + " train_dataset=test_dataset,\n", + " dataset_text_field=config_dataset.get(\"training_dataset\").get(\"input_field\"),\n", + " max_seq_length=config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dataset_num_proc=2,\n", + " packing=False,\n", + " args=TrainingArguments(\n", + " per_device_train_batch_size=int(params['per_device_train_batch_size']),\n", + " gradient_accumulation_steps=params['gradient_accumulation_steps'],\n", + " warmup_steps=params['warmup_steps'],\n", + " max_steps=config.get(\"training_config\").get(\"max_steps\"),\n", + " num_train_epochs=params['num_train_epochs'],\n", + " learning_rate=params['learning_rate'],\n", + " fp16=config.get(\"training_config\").get(\"fp16\"),\n", + " bf16=config.get(\"training_config\").get(\"bf16\"),\n", + " logging_steps=config.get(\"training_config\").get(\"logging_steps\"),\n", + " optim=config.get(\"training_config\").get(\"optim\"),\n", + " weight_decay=config.get(\"training_config\").get(\"weight_decay\"),\n", + " lr_scheduler_type=config.get(\"training_config\").get(\"lr_scheduler_type\"),\n", + " seed=42,\n", + " output_dir=config.get(\"training_config\").get(\"output_dir\")\n", + " )\n", + " )\n", + " trainer_stats = trainer.train()\n", + " return trainer_stats.loss # Assuming loss is the metric to minimize\n", + " except Exception as e:\n", + " print(f\"Error during training: {e}\")\n", + " return float(\"inf\") # Return high value for failed trials\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "z7od3txJaZbm" + }, + "source": [ + "**Step 3: Perform Hyperparameter Search**\n", + "\n", + "Now that we have defined the objective function, we can perform the hyperparameter search using Hyperopt's `fmin` function. We need to specify the objective function, the search space, and the maximum number of evaluations." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "vLTpYBVzbpmP", + "outputId": "ce2d2b57-2e40-4ae8-ec20-880b78be3a56" + }, + "outputs": [], + "source": [ + "\n", + "# Create a Trials object to track hyperparameter evaluations\n", + "trials = Trials()\n", + "# Run hyperparameter optimization using TPE algorithm\n", + "best = fmin(objective, space, algo=tpe.suggest, trials=trials, max_evals=2)\n", + "# Print the best hyperparameters found during optimization\n", + "print(\"Best Hyperparameters:\", best)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "FYO9wV8IoXpy" + }, + "outputs": [], + "source": [ + "from huggingface_hub import login, logout" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "z03TocnqoXpy", + "outputId": "c598ea52-e319-41ed-cc51-935f61201178" + }, + "outputs": [], + "source": [ + "#login(token) # non-blocking login" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dwDh_WpSoXpy", + "outputId": "28fbd65b-61fd-433c-df4f-819a06d4ba05" + }, + "outputs": [], + "source": [ + "import torch\n", + "import gc\n", + "def reset_gpu_memory():\n", + " torch.cuda.empty_cache()\n", + " gc.collect()\n", + " print(\"GPU memory cleared!\")\n", + "# Example usage:\n", + "reset_gpu_memory()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "yhpc3w89A3A_" + }, + "source": [ + "Best Hyperparameters: {'learning_rate': 0.03347123299210303, 'lora_alpha': 19.0, 'lora_dropout': 0.4819141472093197}\n", + "\n", + "Best Hyperparameters: {'gradient_accumulation_steps': 8.0, 'learning_rate': 0.23274337759179295, 'lora_alpha': 8.0, 'lora_dropout': 0.0491660925212421, 'per_device_train_batch_size': 13.0}\n", + "\n", + "Best Hyperparameters: {'gradient_accumulation_steps': 4.0, 'learning_rate': 0.186066529001672, 'lora_alpha': 32.0, 'lora_dropout': 0.24368804023352264, 'per_device_train_batch_size': 10.0}\n", + "\n", + "Best Hyperparameters: {'learning_rate': 0.011846192509972951, 'lora_alpha': 8.0, 'lora_dropout': 0.2087248476879589}\n", + "\n", + "\n", + "\n", + "Best Hyperparameters (Likely Fastest): {'learning_rate': 1.881999040862022e-05, 'per_device_train_batch_size': 2, 'gradient_accumulation_steps': 2, 'lora_alpha': 29}\n", + "Best Training Time: 48.178661584854126 seconds\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Oh4LwgiZ6d3L" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "qQQN-uSUzB8h" + }, + "outputs": [], + "source": [ + "# Defining the configuration for the base model, LoRA and training\n", + "config = {\n", + " \"hugging_face_username\":\"ruslanmv\",\n", + " \"model_config\": {\n", + " \"base_model\":\"meta-llama/Meta-Llama-3-8B-Instruct\", # The base model\n", + " \"finetuned_model\":\"ruslanmv/Medical-Mind-Llama-3-8b\", # The finetuned model\n", + " \"max_seq_length\": 2048, # The maximum sequence length\n", + " # \"dtype\":torch.float16, # The data type\n", + " # \"dtype\": torch.float32, # Use float32 instead of half CUDA capability < 8\n", + " \"dtype\" : None, # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+\n", + "\n", + " \"load_in_4bit\": True, # Load the model in 4-bit\n", + " },\n", + " \"lora_config\": {\n", + " \"r\": 16, # The number of LoRA layers 8, 16, 32, 64\n", + " \"target_modules\": [\"q_proj\", \"k_proj\", \"v_proj\", \"o_proj\",\n", + " \"gate_proj\", \"up_proj\", \"down_proj\"], # The target modules\n", + " #\"lora_alpha\":16, # The alpha value for LoRA\n", + " \"lora_alpha\":29, # The alpha value for LoRA by search grid\n", + " \"lora_dropout\":0, # The dropout value for LoRA\n", + " \"bias\":\"none\", # The bias for LoRA\n", + " \"use_gradient_checkpointing\":True, # Use gradient checkpointing\n", + " \"use_rslora\":False, # Use RSLora\n", + " \"use_dora\":False, # Use DoRa\n", + " \"loftq_config\":None # The LoFTQ configuration\n", + " },\n", + "\n", + " \"training_config\": {\n", + " #\"per_device_train_batch_size\": 2, # The batch size\n", + " \"per_device_train_batch_size\": 2, # The batch size by search grid\n", + " #\"gradient_accumulation_steps\": 4, # The gradient accumulation steps\n", + " \"gradient_accumulation_steps\": 2, # The gradient accumulation steps by search grid\n", + " \"warmup_steps\": 5, # The warmup steps\n", + " \"max_steps\":0, # The maximum steps (0 if the epochs are defined)\n", + " \"num_train_epochs\": 1, # The number of training epochs(0 if the maximum steps are defined)\n", + " #\"learning_rate\": 2e-4, # The learning rate\n", + " \"learning_rate\": 1.88e-05, # The learning rate by search grid\n", + " \"fp16\": not torch.cuda.is_bf16_supported(), # The fp16\n", + " \"bf16\": torch.cuda.is_bf16_supported(), # The bf16\n", + " \"logging_steps\": 1, # The logging steps\n", + " \"optim\" :\"adamw_8bit\", # The optimizer\n", + " \"weight_decay\" : 0.01, # The weight decay\n", + " \"lr_scheduler_type\": \"linear\", # The learning rate scheduler\n", + " \"seed\" : 42, # The seed\n", + " \"output_dir\" : \"outputs\", # The output directory\n", + " }\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "bX5eLb3Ss-39" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "LEMLkJAeoXpy", + "outputId": "6814c878-7716-4201-c287-3a02b4ce6f62" + }, + "outputs": [], + "source": [ + "# Loading the model and the tokinizer for the model\n", + "model, tokenizer = FastLanguageModel.from_pretrained(\n", + " model_name = config.get(\"model_config\").get(\"base_model\"),\n", + " max_seq_length = config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dtype = config.get(\"model_config\").get(\"dtype\"),\n", + " load_in_4bit = config.get(\"model_config\").get(\"load_in_4bit\"),\n", + "\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "kvValJd0oXpz", + "outputId": "b2aa892b-92f3-4c4c-9688-781069b48585" + }, + "outputs": [], + "source": [ + "# Set up GPU acceleration\n", + "if torch.cuda.device_count() > 1:\n", + " print(\"Multiple GPUs enabled\")\n", + " devices = [f\"cuda:{i}\" for i in range(torch.cuda.device_count())]\n", + " model_parallel = torch.nn.DataParallel(model, device_ids=[0, 1])\n", + " # Access the original model from the DataParallel object\n", + " model = model_parallel.module\n", + "else:\n", + " print(\"No DataParallel \")\n", + " #device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "DrQUZ0jtoXpz" + }, + "outputs": [], + "source": [ + "#model = model.half() # the model to half precision (float16)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ZPLenE03oXpz" + }, + "outputs": [], + "source": [ + "# Setup for QLoRA/LoRA peft of the base model\n", + "model = FastLanguageModel.get_peft_model(\n", + " model,\n", + " r = config.get(\"lora_config\").get(\"r\"),\n", + " target_modules = config.get(\"lora_config\").get(\"target_modules\"),\n", + " lora_alpha = config.get(\"lora_config\").get(\"lora_alpha\"),\n", + " lora_dropout = config.get(\"lora_config\").get(\"lora_dropout\"),\n", + " bias = config.get(\"lora_config\").get(\"bias\"),\n", + " use_gradient_checkpointing = config.get(\"lora_config\").get(\"use_gradient_checkpointing\"),\n", + " random_state = 42,\n", + " use_rslora = config.get(\"lora_config\").get(\"use_rslora\"),\n", + " use_dora = config.get(\"lora_config\").get(\"use_dora\"),\n", + " loftq_config = config.get(\"lora_config\").get(\"loftq_config\"),\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dCg9_NAfoXpz", + "outputId": "75303ebe-3299-496e-faea-afa89f4e4c01" + }, + "outputs": [], + "source": [ + "from transformers import AutoModelForCausalLM, BitsAndBytesConfig, AutoTokenizer\n", + "tokenizer = AutoTokenizer.from_pretrained(config.get(\"model_config\").get(\"base_model\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "V4soybR7oXpz" + }, + "outputs": [], + "source": [ + "tokenizer.add_eos_token = True\n", + "tokenizer.pad_token_id = 0\n", + "tokenizer.padding_side = \"left\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "_sm6yQFPWNXY" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "M0qTbrawoXpz" + }, + "outputs": [], + "source": [ + "config_dataset={ \"training_dataset\": {\n", + " \"name\": \"ruslanmv/ai-medical-dataset\", # The dataset name(huggingface/datasets)\n", + " \"split\": \"train\", # The dataset split\n", + " \"input_fields\": [\"question\", \"context\"] ,# The input fields\n", + " \"input_field\": \"text\",# The input field\n", + " },\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "DMscf5cdoXpz", + "outputId": "c7799645-c6bf-4b31-8070-1aa0ef60df33" + }, + "outputs": [], + "source": [ + "config_dataset.get(\"training_dataset\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 113, + "referenced_widgets": [ + "3a97281be4c1433aa3abe6c25b7113e2", + "4e19e78059b842a5832ccae2f765a30c", + "1a72b512e1374e67a858edf2844fc157", + "c9cfd66b68a1437d946c83163fa877df", + "cccd970273ae43d2a6e60ac421bdc882", + "32cff795f8bc490dbf63ed130e1f581f", + "4a0426a353ca41cba39d4dfeba925451", + "284192f01a924f87afd8b5087ca9af6c", + "273bf76f74bc4fb492ccb67d9e202f7b", + "45b3259e3cac4de8bd19d12f07de2adb", + "b7e7896aeac74b6eae27de0677100e57", + "11dc1dcf6b29471580c32c818fa41d88", + "9344b22940c64654a82bb2ce06530e30", + "4f68a26f64e844c7be21cc180eb6c1a2", + "769b40273bab41af8eb66e494b613241", + "320c09781518483e82defa86c28316d1", + "793f49f397b54daab63194cee8d04256", + "fa79cfa23f3a430dab69a59d93383cd0", + "341dca5ac74348dd9b5a347e38fa0b40", + "8ba6fd1bf16a4680b8a8c9c55ecf23e7", + "dc85f5e365f4488fa185d0ae35fde806", + "51a6d3c97480476e8c22d9ad670bdc47", + "b8b277831f1a45109b3a4a3565fbdb9d", + "9f91f7ce62e243f59d72e5ba36f97b8f", + "1634ba52355b4681a913039666926f85", + "217ca5cd404d4756a399fba3aa4fbc15", + "bc6d92cb8837428bb7038d75e6af604e", + "af0233735d744b7e838f50f52c9d6cbe", + "8a8d3a006ee24c4393d7c2f2d040ce52", + "eff94d2d010e4b4f93a6dfcb61103a52", + "da5cd094aaae45f4a0ca051ad5babd78", + "8f88a5b04723482ea430679e504c65f9", + "8d153f070a8d4ad1b32996a9fd82beda" + ] + }, + "id": "g2h5E--2oXp0", + "outputId": "8b8a3e49-a0bd-4aea-bf8d-5d2414f66547" + }, + "outputs": [], + "source": [ + "# Loading the training dataset\n", + "train_dataset = load_dataset(config_dataset.get(\"training_dataset\").get(\"name\"), split = config_dataset.get(\"training_dataset\").get(\"split\"))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "nxGRQ9sCoXp0", + "outputId": "1e2ce893-2a39-4521-9062-490a9e9de016" + }, + "outputs": [], + "source": [ + "train_dataset" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "sGtF6NvpoXp0" + }, + "outputs": [], + "source": [ + "# Select the first 10 rows of the dataset\n", + "test_dataset = train_dataset.select(range(100))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "LipkaBaBoXp0", + "outputId": "4484e420-1693-4524-bf2a-19db669c5543" + }, + "outputs": [], + "source": [ + "test_dataset" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "bBIK97mjoXp0", + "outputId": "930efcd4-5b32-4a8d-ff68-859b63293e7e" + }, + "outputs": [], + "source": [ + "test_dataset[1]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "HERoJEG2oXp0" + }, + "outputs": [], + "source": [ + "medical_prompt = \"\"\"You are an AI Medical Assistant Chatbot, trained to answer medical questions. Below is an instruction that describes a task, paired with an response context. Write a response that appropriately completes the request.\n", + "\n", + "### Instruction:\n", + "{}\n", + "\n", + "\n", + "### Response:\n", + "{}\"\"\"\n", + "\n", + "EOS_TOKEN = tokenizer.eos_token # Must add EOS_TOKEN\n", + "def formatting_prompts_func(examples):\n", + " instructions = examples[\"question\"]\n", + " outputs = examples[\"context\"]\n", + " texts = []\n", + " for instruction, output in zip(instructions, outputs):\n", + " # Must add EOS_TOKEN, otherwise your generation will go on forever!\n", + " text = medical_prompt.format(instruction, output) + EOS_TOKEN\n", + " texts.append(text)\n", + " return { \"text\" : texts, }\n", + "pass" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Redv7cdFoXp0" + }, + "outputs": [], + "source": [ + "test_dataset= test_dataset.map(formatting_prompts_func, batched = True,)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "CSGjoG8voXp0", + "outputId": "92689d46-6795-4591-bc5e-211c8cc9797a" + }, + "outputs": [], + "source": [ + "test_dataset" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 142 + }, + "id": "z5Q2wwfjoXp0", + "outputId": "a76d49b3-48bf-43d6-fc80-a5aa88a12634" + }, + "outputs": [], + "source": [ + "test_dataset['text'][1]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "urBn0WMSoXp0" + }, + "outputs": [], + "source": [ + "is_test=True\n", + "if is_test:\n", + " train_dataset=test_dataset\n", + "else:\n", + " train_dataset= train_dataset.map(formatting_prompts_func, batched = True,)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 142 + }, + "id": "UevHEqo7oXp0", + "outputId": "dfe3869c-fd9e-4734-9462-e9eb391792e1" + }, + "outputs": [], + "source": [ + "train_dataset['text'][1]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 140, + "referenced_widgets": [ + "ffa74977e7464cebb16d3cf8ee976d51", + "e257e4a2bfdb48038102173d397ab2e4", + "67b9a3505ae644dbb3c4fc14781a2731", + "c4d39c87c16c4961b942d896742ff7ce", + "e5880b946aae4b84a94226a5d6acaf45", + "82c6c2752a0746f3935e069c0f8811d6", + "1850ab17bafd4a43b5ab5899d1875a40", + "53ee8f5e8b7d4076bdb0167baf2e5729", + "d70fd9035f9b4d82892fae34c28c46d5", + "af0096de28414303ba5324f4087cd92e", + "0f55ae30c2704632941cca4727c1c4f2" + ] + }, + "id": "X4wxJAgnM2W0", + "outputId": "38c58ce9-6f4c-49c9-e21d-49bc34f5cc2e" + }, + "outputs": [], + "source": [ + "# Setting up the trainer for the model\n", + "trainer = SFTTrainer(\n", + " model = model,\n", + " tokenizer = tokenizer,\n", + " train_dataset = train_dataset,\n", + " dataset_text_field = config_dataset.get(\"training_dataset\").get(\"input_field\"),\n", + " max_seq_length = config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dataset_num_proc = 2,\n", + " packing = False,\n", + " args = TrainingArguments(\n", + " per_device_train_batch_size = config.get(\"training_config\").get(\"per_device_train_batch_size\"),\n", + " gradient_accumulation_steps = config.get(\"training_config\").get(\"gradient_accumulation_steps\"),\n", + " warmup_steps = config.get(\"training_config\").get(\"warmup_steps\"),\n", + " max_steps = config.get(\"training_config\").get(\"max_steps\"),\n", + " num_train_epochs= config.get(\"training_config\").get(\"num_train_epochs\"),\n", + " learning_rate = config.get(\"training_config\").get(\"learning_rate\"),\n", + " fp16 = config.get(\"training_config\").get(\"fp16\"),\n", + " bf16 = config.get(\"training_config\").get(\"bf16\"),\n", + " logging_steps = config.get(\"training_config\").get(\"logging_steps\"),\n", + " optim = config.get(\"training_config\").get(\"optim\"),\n", + " weight_decay = config.get(\"training_config\").get(\"weight_decay\"),\n", + " lr_scheduler_type = config.get(\"training_config\").get(\"lr_scheduler_type\"),\n", + " seed = 42,\n", + " output_dir = config.get(\"training_config\").get(\"output_dir\"),\n", + " ),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "RJl7dk8yoXp1", + "outputId": "b37c70bb-50a6-4319-b99c-c0d9c05f035b" + }, + "outputs": [], + "source": [ + "# Memory statistics before training\n", + "gpu_statistics = torch.cuda.get_device_properties(0)\n", + "reserved_memory = round(torch.cuda.max_memory_reserved() / 1024**3, 2)\n", + "max_memory = round(gpu_statistics.total_memory / 1024**3, 2)\n", + "print(f\"Reserved Memory: {reserved_memory}GB\")\n", + "print(f\"Max Memory: {max_memory}GB\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Q-g-4RvNXkyD" + }, + "outputs": [], + "source": [ + "## [ 1038/2651250 53:49 < 2295:10:28, 0.32 it/s, Epoch 0.00/1] old" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 948 + }, + "id": "yI9mEQ7ZOUx2", + "outputId": "6466d591-76f8-45e2-e665-39ad9bf8ae7f", + "scrolled": false + }, + "outputs": [], + "source": [ + "# Training the model\n", + "trainer_stats = trainer.train()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "YQFEr64koXp1", + "outputId": "2e1b3775-1f5d-4b8e-a0ef-32266cb7fa2a" + }, + "outputs": [], + "source": [ + "# Memory statistics after training\n", + "used_memory = round(torch.cuda.max_memory_allocated() / 1024**3, 2)\n", + "used_memory_lora = round(used_memory - reserved_memory, 2)\n", + "used_memory_persentage = round((used_memory / max_memory) * 100, 2)\n", + "used_memory_lora_persentage = round((used_memory_lora / max_memory) * 100, 2)\n", + "print(f\"Used Memory: {used_memory}GB ({used_memory_persentage}%)\")\n", + "print(f\"Used Memory for training(fine-tuning) LoRA: {used_memory_lora}GB ({used_memory_lora_persentage}%)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "1YJB4bZyoXp1" + }, + "outputs": [], + "source": [ + "# Saving the trainer stats\n", + "with open(\"trainer_stats.json\", \"w\") as f:\n", + " json.dump(trainer_stats, f, indent=4)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "-1HtsRpVnHTj" + }, + "outputs": [], + "source": [ + "# Locally saving the model and pushing it to the Hugging Face Hub (only LoRA adapters)\n", + "model.save_pretrained(config.get(\"model_config\").get(\"finetuned_model\"))\n", + "model.push_to_hub(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer = tokenizer)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "yRO4pPP0oXp1" + }, + "outputs": [], + "source": [ + "# Saving the model using merged_16bit(float16), merged_4bit(int4) or quantization options(q8_0, q4_k_m, q5_k_m)...\n", + "model.save_pretrained_merged(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, save_method = \"merged_16bit\",)\n", + "model.push_to_hub_merged(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, save_method = \"merged_16bit\")\n", + "\n", + "model.save_pretrained_merged(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, save_method = \"merged_4bit\",)\n", + "model.push_to_hub_merged(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, save_method = \"merged_4bit\")\n", + "\n", + "model.save_pretrained_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer)\n", + "model.push_to_hub_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer)\n", + "\n", + "model.save_pretrained_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, quantization_method = \"f16\")\n", + "model.push_to_hub_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, quantization_method = \"f16\")\n", + "\n", + "model.save_pretrained_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, quantization_method = \"q4_k_m\")\n", + "model.push_to_hub_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, quantization_method = \"q4_k_m\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "ozVcalyP_JLs" + }, + "outputs": [], + "source": [ + "# Loading the fine-tuned model and the tokenizer for inference\n", + "model, tokenizer = FastLanguageModel.from_pretrained(\n", + " model_name = config.get(\"model_config\").get(\"finetuned_model\"),\n", + " max_seq_length = config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dtype = config.get(\"model_config\").get(\"dtype\"),\n", + " load_in_4bit = config.get(\"model_config\").get(\"load_in_4bit\"),\n", + " )\n", + "\n", + "# Using FastLanguageModel for fast inference\n", + "FastLanguageModel.for_inference(model)\n", + "\n", + "# Tokenizing the input and generating the output\n", + "inputs = tokenizer(\n", + "[\n", + " \"<|start_header_id|>system<|end_header_id|> You are a Medical AI chatbot assistant .<|eot_id|><|start_header_id|>user<|end_header_id|> This is the question: What was the main cause of the inflammatory CD4+ T cells?<|eot_id|>\"\n", + "], return_tensors = \"pt\").to(\"cuda\")\n", + "outputs = model.generate(**inputs, max_new_tokens = 256, use_cache = True)\n", + "tokenizer.batch_decode(outputs, skip_special_tokens = True)" + ] + } + ], + "metadata": { + "accelerator": "GPU", + "colab": { + "gpuType": "L4", + "machine_shape": "hm", + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + 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Tunning by using SFTTrainer\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 1 - Installation of Pytorch\n", + "The first step is install pythorch v 2.2.1 with Cuda 12.1 " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: pip in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (23.3)\n", + "Collecting pip\n", + " Downloading pip-24.0-py3-none-any.whl.metadata (3.6 kB)\n", + "Downloading pip-24.0-py3-none-any.whl (2.1 MB)\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m38.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n", + "\u001b[?25hInstalling collected packages: pip\n", + " Attempting uninstall: pip\n", + " Found existing installation: pip 23.3\n", + " Uninstalling pip-23.3:\n", + " Successfully 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(10.3.0)\n", + "INFO: pip is looking at multiple versions of torchaudio to determine which version is compatible with other requirements. 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sympy->torch==2.2.1) (1.3.0)\n", + "Installing collected packages: typing-extensions, triton, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12, torch, xformers, torchaudio\n", + " Attempting uninstall: typing-extensions\n", + " Found existing installation: typing_extensions 4.4.0\n", + " Uninstalling typing_extensions-4.4.0:\n", + " Successfully uninstalled typing_extensions-4.4.0\n", + " Attempting uninstall: torch\n", + " Found existing installation: torch 2.0.1\n", + " Uninstalling torch-2.0.1:\n", + " Successfully uninstalled torch-2.0.1\n", + "Successfully installed nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.19.3 nvidia-nvjitlink-cu12-12.1.105 nvidia-nvtx-cu12-12.1.105 torch-2.2.1+cu121 torchaudio-2.2.1+cu121 triton-2.2.0 typing-extensions-4.9.0 xformers-0.0.25\n" + ] + } + ], + "source": [ + "!python -m pip install --upgrade pip\n", + "!pip3 install torch==2.2.1 torchvision torchaudio xformers --index-url https://download.pytorch.org/whl/cu121" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 3 - Installation of Uslotch packages" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting unsloth@ git+https://github.com/unslothai/unsloth.git (from unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git)\n", + " Cloning https://github.com/unslothai/unsloth.git to /tmp/wsuser/pip-install-8a93kdi0/unsloth_56c62c14bb3f4be29d884342054fdd22\n", + " Running command git clone --filter=blob:none --quiet https://github.com/unslothai/unsloth.git /tmp/wsuser/pip-install-8a93kdi0/unsloth_56c62c14bb3f4be29d884342054fdd22\n", + " Resolved https://github.com/unslothai/unsloth.git to commit 4211cc01409e3ced4f7abebaf68e244193b46e2c\n", + " Installing build dependencies ... \u001b[?25ldone\n", + "\u001b[?25h Getting requirements to build wheel ... \u001b[?25ldone\n", + "\u001b[?25h Installing backend dependencies ... \u001b[?25ldone\n", + "\u001b[?25h Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n", + "\u001b[?25hRequirement already satisfied: tyro in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.8.3)\n", + "Requirement already satisfied: transformers>=4.38.2 in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (4.40.2)\n", + "Requirement already satisfied: datasets>=2.16.0 in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (2.19.1)\n", + "Requirement already satisfied: sentencepiece in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.1.97)\n", + "Requirement already satisfied: tqdm in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (4.65.0)\n", + "Requirement already satisfied: psutil in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (5.9.0)\n", + "Requirement already satisfied: wheel>=0.42.0 in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.43.0)\n", + "Requirement already satisfied: numpy in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (1.23.5)\n", + "Requirement already satisfied: protobuf<4.0.0 in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (3.20.3)\n", + "Requirement already satisfied: filelock in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from datasets>=2.16.0->unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (3.9.0)\n", + "Requirement already satisfied: pyarrow>=12.0.0 in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from datasets>=2.16.0->unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (16.0.0)\n", + "Requirement already satisfied: pyarrow-hotfix in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from datasets>=2.16.0->unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.6)\n", + "Requirement already satisfied: dill<0.3.9,>=0.3.0 in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from datasets>=2.16.0->unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.3.8)\n", + "Requirement already satisfied: pandas in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from datasets>=2.16.0->unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (1.5.3)\n", + "Requirement already satisfied: requests>=2.19.0 in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from datasets>=2.16.0->unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (2.31.0)\n", + "Requirement already satisfied: xxhash in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from datasets>=2.16.0->unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (3.4.1)\n", + "Requirement already satisfied: multiprocess in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from datasets>=2.16.0->unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.70.16)\n", + "Requirement already satisfied: fsspec<=2024.3.1,>=2023.1.0 in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from fsspec[http]<=2024.3.1,>=2023.1.0->datasets>=2.16.0->unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (2024.3.1)\n", + "Requirement already satisfied: aiohttp in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from datasets>=2.16.0->unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (3.9.3)\n", + "Requirement already satisfied: huggingface-hub>=0.21.2 in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from datasets>=2.16.0->unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (0.23.0)\n", + "Requirement already satisfied: packaging in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from datasets>=2.16.0->unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (23.0)\n", + "Requirement already satisfied: pyyaml>=5.1 in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from datasets>=2.16.0->unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (6.0)\n", + "Requirement already satisfied: regex!=2019.12.17 in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from transformers>=4.38.2->unsloth@ git+https://github.com/unslothai/unsloth.git->unsloth[colab-new]@ git+https://github.com/unslothai/unsloth.git) (2022.3.15)\n", + "Requirement already satisfied: tokenizers<0.20,>=0.19 in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from transformers>=4.38.2->unsloth@ 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satisfied: MarkupSafe>=0.9.2 in /opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages (from Mako->alembic>=1.5.0->optuna) (2.1.1)\n" + ] + } + ], + "source": [ + "import torch\n", + "major_version, minor_version = torch.cuda.get_device_capability()\n", + "# Must install separately since Colab has torch 2.2.1, which breaks packages\n", + "!pip install \"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git\"\n", + "if major_version >= 8:\n", + " # Use this for new GPUs like Ampere, Hopper GPUs (RTX 30xx, RTX 40xx, A100, H100, L40)\n", + " !pip install --no-deps packaging ninja einops flash-attn xformers trl peft \\\n", + " accelerate bitsandbytes\n", + "else:\n", + " # Use this for older GPUs (V100, Tesla T4, RTX 20xx)\n", + " !pip install --no-deps trl peft accelerate bitsandbytes\n", + "!pip install datasets\n", + "!pip install hyperopt\n", + "!pip install optuna \n", + "pass" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 4 - Analysis of our infrastructure\n", + "In ordering to perform any training it is important to know our system in order to take the full advantage of the system." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dH4JvbO9oiHE", + "outputId": "399bc210-c095-4807-900f-6b4cf2fe133f" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Unable to find python bindings at /usr/local/dcgm/bindings/python3. No data will be captured.\n", + "xFormers 0.0.25\n", + "memory_efficient_attention.ckF: unavailable\n", + "memory_efficient_attention.ckB: unavailable\n", + "memory_efficient_attention.ck_decoderF: unavailable\n", + "memory_efficient_attention.ck_splitKF: unavailable\n", + "memory_efficient_attention.cutlassF: available\n", + "memory_efficient_attention.cutlassB: available\n", + "memory_efficient_attention.decoderF: available\n", + "memory_efficient_attention.flshattF@v2.5.6: available\n", + "memory_efficient_attention.flshattB@v2.5.6: available\n", + "memory_efficient_attention.smallkF: available\n", + "memory_efficient_attention.smallkB: available\n", + "memory_efficient_attention.triton_splitKF: unavailable\n", + "indexing.scaled_index_addF: unavailable\n", + "indexing.scaled_index_addB: unavailable\n", + "indexing.index_select: unavailable\n", + "sequence_parallel_fused.write_values: available\n", + "sequence_parallel_fused.wait_values: available\n", + "sequence_parallel_fused.cuda_memset_32b_async: available\n", + "sp24.sparse24_sparsify_both_ways: available\n", + "sp24.sparse24_apply: available\n", + "sp24.sparse24_apply_dense_output: available\n", + "sp24._sparse24_gemm: available\n", + "sp24._cslt_sparse_mm@0.4.0: available\n", + "swiglu.dual_gemm_silu: available\n", + "swiglu.gemm_fused_operand_sum: available\n", + "swiglu.fused.p.cpp: available\n", + "is_triton_available: False\n", + "pytorch.version: 2.2.1+cu121\n", + "pytorch.cuda: available\n", + "gpu.compute_capability: 7.0\n", + "gpu.name: Tesla V100-PCIE-16GB\n", + "dcgm_profiler: unavailable\n", + "build.info: available\n", + "build.cuda_version: 1201\n", + "build.hip_version: None\n", + "build.python_version: 3.10.13\n", + "build.torch_version: 2.2.1+cu121\n", + "build.env.TORCH_CUDA_ARCH_LIST: 5.0+PTX 6.0 6.1 7.0 7.5 8.0+PTX 9.0\n", + "build.env.PYTORCH_ROCM_ARCH: None\n", + "build.env.XFORMERS_BUILD_TYPE: Release\n", + "build.env.XFORMERS_ENABLE_DEBUG_ASSERTIONS: None\n", + "build.env.NVCC_FLAGS: None\n", + "build.env.XFORMERS_PACKAGE_FROM: wheel-v0.0.25\n", + "build.nvcc_version: 12.1.66\n", + "source.privacy: open source\n", + "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n", + "++++++++++++++++++ BUG REPORT INFORMATION ++++++++++++++++++\n", + "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n", + "++++++++++++++++++++++++++ OTHER +++++++++++++++++++++++++++\n", + "CUDA specs: CUDASpecs(highest_compute_capability=(7, 0), cuda_version_string='121', cuda_version_tuple=(12, 1))\n", + "PyTorch settings found: CUDA_VERSION=121, Highest Compute Capability: (7, 0).\n", + "To manually override the PyTorch CUDA version please see: https://github.com/TimDettmers/bitsandbytes/blob/main/docs/source/nonpytorchcuda.mdx\n", + "WARNING: Compute capability < 7.5 detected! Only slow 8-bit matmul is supported for your GPU!\n", + "If you run into issues with 8-bit matmul, you can try 4-bit quantization:\n", + "https://huggingface.co/blog/4bit-transformers-bitsandbytes\n", + "The directory listed in your path is found to be non-existent: /usr/local/nvidia/lib\n", + "The directory listed in your path is found to be non-existent: //private.runtime.dataplatform.cloud.ibm.com\n", + "The directory listed in your path is found to be non-existent: /home/wsuser/jars/*\n", + "The directory listed in your path is found to be non-existent: /opt/jdbc/*\n", + "The directory listed in your path is found to be non-existent: bluemix/prod\n", + "The directory listed in your path is found to be non-existent: //api.dataplatform.cloud.ibm.com\n", + "The directory listed in your path is found to be non-existent: //matplotlib_inline.backend_inline\n", + "The directory listed in your path is found to be non-existent: --xla_gpu_cuda_data_dir=/opt/conda/envs/Python-RT23.1-CUDA\n", + "CUDA SETUP: WARNING! CUDA runtime files not found in any environmental path.\n", + "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n", + "++++++++++++++++++++++ DEBUG INFO END ++++++++++++++++++++++\n", + "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n", + "Checking that the library is importable and CUDA is callable...\n", + "SUCCESS!\n", + "Installation was successful!\n", + "Thu May 9 19:59:13 2024 \n", + "+---------------------------------------------------------------------------------------+\n", + "| NVIDIA-SMI 535.129.03 Driver Version: 535.129.03 CUDA Version: 12.2 |\n", + "|-----------------------------------------+----------------------+----------------------+\n", + "| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n", + "| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n", + "| | | MIG M. |\n", + "|=========================================+======================+======================|\n", + "| 0 Tesla V100-PCIE-16GB Off | 00000000:AF:00.0 Off | 0 |\n", + "| N/A 33C P0 40W / 250W | 4MiB / 16384MiB | 0% Default |\n", + "| | | N/A |\n", + "+-----------------------------------------+----------------------+----------------------+\n", + "| 1 Tesla V100-PCIE-16GB Off | 00000000:D8:00.0 Off | 0 |\n", + "| N/A 33C P0 26W / 250W | 4MiB / 16384MiB | 0% Default |\n", + "| | | N/A |\n", + "+-----------------------------------------+----------------------+----------------------+\n", + " \n", + "+---------------------------------------------------------------------------------------+\n", + "| Processes: |\n", + "| GPU GI CI PID Type Process name GPU Memory |\n", + "| ID ID Usage |\n", + "|=======================================================================================|\n", + "| No running processes found |\n", + "+---------------------------------------------------------------------------------------+\n" + ] + } + ], + "source": [ + "!python -m xformers.info\n", + "!python -m bitsandbytes\n", + "!nvidia-smi" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 5 Login to Hugging Face" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.\n", + "Token is valid (permission: write).\n", + "Your token has been saved to /home/wsuser/.cache/huggingface/token\n", + "Login successful\n" + ] + } + ], + "source": [ + "token=\"hf_\"\n", + "from huggingface_hub import login, logout\n", + "login(token) # non-blocking login" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 5 Simple Fine Tunning Method\n", + "\n", + "First let us show the simplest method that is given by SFTTrainer" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "25db645610ac40e6a8a647896dec0f16", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Resolving data files: 0%| | 0/18 [00:00\n", + " \n", + " \n", + " [1/1 00:04, Epoch 0/1]\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "TrainOutput(global_step=1, training_loss=2.346719980239868, metrics={'train_runtime': 8.2949, 'train_samples_per_second': 0.482, 'train_steps_per_second': 0.121, 'total_flos': 74593973698560.0, 'train_loss': 2.346719980239868, 'epoch': 0.04})" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from datasets import load_dataset\n", + "import torch\n", + "from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig, AutoTokenizer\n", + "from peft import LoraConfig\n", + "from trl import SFTTrainer\n", + "from transformers import TrainingArguments\n", + "# Load the dataset\n", + "dataset_name = \"ruslanmv/ai-medical-dataset\"\n", + "dataset = load_dataset(dataset_name, split=\"train\")\n", + "# Select the first 1000 rows of the dataset\n", + "dataset = dataset.select(range(100))\n", + "# Device map\n", + "device_map = 'auto' # for PP and running with `python test_sft.py`\n", + "# Load the model + tokenizer\n", + "model_name = \"meta-llama/Meta-Llama-3-8B-Instruct\"\n", + "tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)\n", + "tokenizer.pad_token = tokenizer.eos_token\n", + "bnb_config = BitsAndBytesConfig(\n", + " load_in_4bit=True,\n", + " bnb_4bit_quant_type=\"nf4\",\n", + " bnb_4bit_compute_dtype=torch.float16,\n", + ")\n", + "model = AutoModelForCausalLM.from_pretrained(\n", + " model_name,\n", + " quantization_config=bnb_config,\n", + " trust_remote_code=True,\n", + " use_cache=False,\n", + " device_map=device_map\n", + ")\n", + "# PEFT config\n", + "lora_alpha = 16\n", + "lora_dropout = 0.1\n", + "lora_r = 32 # 64\n", + "peft_config = LoraConfig(\n", + " lora_alpha=lora_alpha,\n", + " lora_dropout=lora_dropout,\n", + " r=lora_r,\n", + " bias=\"none\",\n", + " task_type=\"CAUSAL_LM\",\n", + " target_modules=[\"k_proj\", \"q_proj\", \"v_proj\", \"up_proj\", \"down_proj\", \"gate_proj\"],\n", + " modules_to_save=[\"embed_tokens\", \"input_layernorm\", \"post_attention_layernorm\", \"norm\"],\n", + ")\n", + "# Args\n", + "max_seq_length = 512\n", + "output_dir = \"./results\"\n", + "per_device_train_batch_size = 2 # reduced batch size to avoid OOM\n", + "gradient_accumulation_steps = 2\n", + "optim = \"adamw_torch\"\n", + "save_steps = 10\n", + "logging_steps = 1\n", + "learning_rate = 2e-4\n", + "max_grad_norm = 0.3\n", + "max_steps = 1 \n", + "warmup_ratio = 0.1\n", + "lr_scheduler_type = \"cosine\"\n", + "training_arguments = TrainingArguments(\n", + " output_dir=output_dir,\n", + " per_device_train_batch_size=per_device_train_batch_size,\n", + " gradient_accumulation_steps=gradient_accumulation_steps,\n", + " optim=optim,\n", + " save_steps=save_steps,\n", + " logging_steps=logging_steps,\n", + " learning_rate=learning_rate,\n", + " fp16=True,\n", + " max_grad_norm=max_grad_norm,\n", + " max_steps=max_steps,\n", + " warmup_ratio=warmup_ratio,\n", + " group_by_length=True,\n", + " lr_scheduler_type=lr_scheduler_type,\n", + " gradient_checkpointing=True, # gradient checkpointing\n", + " #report_to=\"wandb\",\n", + ")\n", + "# Trainer\n", + "trainer = SFTTrainer(\n", + " model=model,\n", + " train_dataset=dataset,\n", + " peft_config=peft_config,\n", + " dataset_text_field=\"context\",\n", + " max_seq_length=max_seq_length,\n", + " tokenizer=tokenizer,\n", + " args=training_arguments,\n", + ")\n", + "\n", + "# Train :)\n", + "trainer.train()" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.\n", + "Token is valid (permission: write).\n", + "Your token has been saved to /home/wsuser/.cache/huggingface/token\n", + "Login successful\n" + ] + } + ], + "source": [ + "token=\"\"\n", + "from huggingface_hub import login, logout\n", + "login(token) # non-blocking login" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Multiple GPUS" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n", + " warnings.warn(\n", + "Some weights of BartForCausalLM were not initialized from the model checkpoint at facebook/bart-base and are newly initialized: ['decoder.embed_tokens.weight', 'lm_head.weight']\n", + "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n" + ] + } + ], + "source": [ + "import torch\n", + "from transformers import AutoModelForCausalLM, AutoTokenizer\n", + "from datasets import load_dataset\n", + "from trl import SFTTrainer\n", + "from transformers import TrainingArguments\n", + "import os\n", + "import socket\n", + "\n", + "# Distributed training setup (assuming all GPUs are available on a single machine)\n", + "def init_distributed(rank, world_size):\n", + " \"\"\"Initializes distributed training using `nccl` backend.\"\"\"\n", + " if rank == 0:\n", + " os.environ[\"MASTER_ADDR\"] = socket.gethostname() # Set MASTER_ADDR using rank 0's hostname\n", + " else:\n", + " # Wait a bit to ensure MASTER_ADDR is set before other ranks try to use it\n", + " import time\n", + " time.sleep(5)\n", + " os.environ[\"MASTER_PORT\"] = \"12345\" # Set MASTER_PORT environment variable\n", + " os.environ[\"RANK\"] = str(rank) # Set RANK environment variable\n", + " os.environ[\"WORLD_SIZE\"] = str(world_size) # Set WORLD_SIZE environment variable\n", + " torch.distributed.init_process_group(backend='nccl', init_method='env://')\n", + "\n", + "# Cleanup after training\n", + "def cleanup_distributed():\n", + " if torch.distributed.is_initialized():\n", + " torch.distributed.destroy_process_group()\n", + "\n", + "# Model and tokenizer selection\n", + "model_name = \"facebook/bart-base\" # Replace with your desired model\n", + "tokenizer = AutoTokenizer.from_pretrained(model_name)\n", + "model = AutoModelForCausalLM.from_pretrained(model_name)\n", + "\n", + "# Dataset loading (replace with your dataset and field names)\n", + "dataset = load_dataset(\"glue\", \"mnli\", split=\"train\")\n", + "text_field = \"premise\" # Assuming premise is the field containing text for prediction\n", + "\n", + "# Training arguments (adjust hyperparameters as needed)\n", + "training_args = TrainingArguments(\n", + " output_dir=\"./results\",\n", + " per_device_train_batch_size=2, # Adjust based on GPU memory (might need to adjust)\n", + " save_steps=500,\n", + " save_total_limit=2,\n", + " num_train_epochs=3, # Adjust training time as needed\n", + ")\n", + "\n", + "world_size = torch.cuda.device_count()\n", + "if world_size > 1:\n", + " # Initialize distributed training\n", + " init_distributed(rank=0, world_size=world_size) # Rank is assumed to be 0 here\n", + "\n", + " # Wrap model in DDP for distributed training\n", + " model = torch.nn.parallel.DistributedDataParallel(model, device_ids=[torch.cuda.current_device()])\n", + "\n", + " # Create SFTTrainer with distributed settings\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " args=training_args, # Pass training_args as 'args' instead of 'training_args'\n", + " train_dataset=dataset,\n", + " dataset_text_field=text_field,\n", + " compute_metrics=None, # You can define your custom metrics here\n", + " )\n", + " print(\"Trainer For distributed training loaded\")\n", + "else:\n", + " # For single-GPU training\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " args=training_args, # Pass training_args as 'args' instead of 'training_args'\n", + " train_dataset=dataset,\n", + " dataset_text_field=text_field,\n", + " compute_metrics=None, # You can define your custom metrics here\n", + " )\n", + " print(\"Trainer For single-GPU loaded\")\n", + "\n", + "# Start training\n", + "trainer.train()\n", + "\n", + "# Cleanup after training\n", + "cleanup_distributed()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n", + " warnings.warn(\n", + "Some weights of BartForCausalLM were not initialized from the model checkpoint at facebook/bart-base and are newly initialized: ['decoder.embed_tokens.weight', 'lm_head.weight']\n", + "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + "/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n", + " warnings.warn(\n", + "/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/trl/trainer/sft_trainer.py:246: UserWarning: You didn't pass a `max_seq_length` argument to the SFTTrainer, this will default to 1024\n", + " warnings.warn(\n", + "Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Trainer For single-GPU loaded\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.\n", + " warnings.warn('Was asked to gather along dimension 0, but all '\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "

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" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[1], line 66\u001b[0m\n\u001b[1;32m 63\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTrainer For single-GPU loaded\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 65\u001b[0m \u001b[38;5;66;03m# Start training\u001b[39;00m\n\u001b[0;32m---> 66\u001b[0m \u001b[43mtrainer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 68\u001b[0m \u001b[38;5;66;03m# Cleanup after training\u001b[39;00m\n\u001b[1;32m 69\u001b[0m cleanup_distributed()\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/trl/trainer/sft_trainer.py:361\u001b[0m, in \u001b[0;36mSFTTrainer.train\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 358\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mneftune_noise_alpha \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_trainer_supports_neftune:\n\u001b[1;32m 359\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodel \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_trl_activate_neftune(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodel)\n\u001b[0;32m--> 361\u001b[0m output \u001b[38;5;241m=\u001b[39m 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\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_trainer_supports_neftune:\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/transformers/trainer.py:1859\u001b[0m, in \u001b[0;36mTrainer.train\u001b[0;34m(self, resume_from_checkpoint, trial, ignore_keys_for_eval, **kwargs)\u001b[0m\n\u001b[1;32m 1857\u001b[0m hf_hub_utils\u001b[38;5;241m.\u001b[39menable_progress_bars()\n\u001b[1;32m 1858\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1859\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43minner_training_loop\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1860\u001b[0m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1861\u001b[0m \u001b[43m \u001b[49m\u001b[43mresume_from_checkpoint\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresume_from_checkpoint\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1862\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrial\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtrial\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1863\u001b[0m \u001b[43m \u001b[49m\u001b[43mignore_keys_for_eval\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mignore_keys_for_eval\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1864\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/transformers/trainer.py:2203\u001b[0m, in \u001b[0;36mTrainer._inner_training_loop\u001b[0;34m(self, batch_size, args, resume_from_checkpoint, trial, ignore_keys_for_eval)\u001b[0m\n\u001b[1;32m 2200\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcontrol \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcallback_handler\u001b[38;5;241m.\u001b[39mon_step_begin(args, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstate, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcontrol)\n\u001b[1;32m 2202\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maccelerator\u001b[38;5;241m.\u001b[39maccumulate(model):\n\u001b[0;32m-> 2203\u001b[0m tr_loss_step \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtraining_step\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2205\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[1;32m 2206\u001b[0m args\u001b[38;5;241m.\u001b[39mlogging_nan_inf_filter\n\u001b[1;32m 2207\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_torch_xla_available()\n\u001b[1;32m 2208\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m (torch\u001b[38;5;241m.\u001b[39misnan(tr_loss_step) \u001b[38;5;129;01mor\u001b[39;00m torch\u001b[38;5;241m.\u001b[39misinf(tr_loss_step))\n\u001b[1;32m 2209\u001b[0m ):\n\u001b[1;32m 2210\u001b[0m \u001b[38;5;66;03m# if loss is nan or inf simply add the average of previous logged losses\u001b[39;00m\n\u001b[1;32m 2211\u001b[0m tr_loss \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m tr_loss \u001b[38;5;241m/\u001b[39m (\u001b[38;5;241m1\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstate\u001b[38;5;241m.\u001b[39mglobal_step \u001b[38;5;241m-\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_globalstep_last_logged)\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/transformers/trainer.py:3138\u001b[0m, in \u001b[0;36mTrainer.training_step\u001b[0;34m(self, model, inputs)\u001b[0m\n\u001b[1;32m 3135\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m loss_mb\u001b[38;5;241m.\u001b[39mreduce_mean()\u001b[38;5;241m.\u001b[39mdetach()\u001b[38;5;241m.\u001b[39mto(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs\u001b[38;5;241m.\u001b[39mdevice)\n\u001b[1;32m 3137\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcompute_loss_context_manager():\n\u001b[0;32m-> 3138\u001b[0m loss \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompute_loss\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3140\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs\u001b[38;5;241m.\u001b[39mn_gpu \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m 3141\u001b[0m loss \u001b[38;5;241m=\u001b[39m loss\u001b[38;5;241m.\u001b[39mmean() \u001b[38;5;66;03m# mean() to average on multi-gpu parallel training\u001b[39;00m\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/transformers/trainer.py:3161\u001b[0m, in \u001b[0;36mTrainer.compute_loss\u001b[0;34m(self, model, inputs, return_outputs)\u001b[0m\n\u001b[1;32m 3159\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 3160\u001b[0m labels \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 3161\u001b[0m outputs \u001b[38;5;241m=\u001b[39m \u001b[43mmodel\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43minputs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3162\u001b[0m \u001b[38;5;66;03m# Save past state if it exists\u001b[39;00m\n\u001b[1;32m 3163\u001b[0m \u001b[38;5;66;03m# TODO: this needs to be fixed and made cleaner later.\u001b[39;00m\n\u001b[1;32m 3164\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs\u001b[38;5;241m.\u001b[39mpast_index \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/modules/module.py:1511\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1509\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m 1510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1511\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/modules/module.py:1520\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1517\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1518\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1519\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1520\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1522\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 1523\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py:185\u001b[0m, in \u001b[0;36mDataParallel.forward\u001b[0;34m(self, *inputs, **kwargs)\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodule(\u001b[38;5;241m*\u001b[39minputs[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mmodule_kwargs[\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m 184\u001b[0m replicas \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mreplicate(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodule, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdevice_ids[:\u001b[38;5;28mlen\u001b[39m(inputs)])\n\u001b[0;32m--> 185\u001b[0m outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparallel_apply\u001b[49m\u001b[43m(\u001b[49m\u001b[43mreplicas\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodule_kwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 186\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgather(outputs, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moutput_device)\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py:200\u001b[0m, in \u001b[0;36mDataParallel.parallel_apply\u001b[0;34m(self, replicas, inputs, kwargs)\u001b[0m\n\u001b[1;32m 199\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mparallel_apply\u001b[39m(\u001b[38;5;28mself\u001b[39m, replicas: Sequence[T], inputs: Sequence[Any], kwargs: Any) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m List[Any]:\n\u001b[0;32m--> 200\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mparallel_apply\u001b[49m\u001b[43m(\u001b[49m\u001b[43mreplicas\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdevice_ids\u001b[49m\u001b[43m[\u001b[49m\u001b[43m:\u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mreplicas\u001b[49m\u001b[43m)\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/parallel/parallel_apply.py:100\u001b[0m, in \u001b[0;36mparallel_apply\u001b[0;34m(modules, inputs, kwargs_tup, devices)\u001b[0m\n\u001b[1;32m 98\u001b[0m thread\u001b[38;5;241m.\u001b[39mstart()\n\u001b[1;32m 99\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m thread \u001b[38;5;129;01min\u001b[39;00m threads:\n\u001b[0;32m--> 100\u001b[0m \u001b[43mthread\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjoin\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 101\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 102\u001b[0m _worker(\u001b[38;5;241m0\u001b[39m, modules[\u001b[38;5;241m0\u001b[39m], inputs[\u001b[38;5;241m0\u001b[39m], kwargs_tup[\u001b[38;5;241m0\u001b[39m], devices[\u001b[38;5;241m0\u001b[39m], streams[\u001b[38;5;241m0\u001b[39m])\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/threading.py:1096\u001b[0m, in \u001b[0;36mThread.join\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 1093\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcannot join current thread\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 1095\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m timeout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1096\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_wait_for_tstate_lock\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1097\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 1098\u001b[0m \u001b[38;5;66;03m# the behavior of a negative timeout isn't documented, but\u001b[39;00m\n\u001b[1;32m 1099\u001b[0m \u001b[38;5;66;03m# historically .join(timeout=x) for x<0 has acted as if timeout=0\u001b[39;00m\n\u001b[1;32m 1100\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_wait_for_tstate_lock(timeout\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mmax\u001b[39m(timeout, \u001b[38;5;241m0\u001b[39m))\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/threading.py:1116\u001b[0m, in \u001b[0;36mThread._wait_for_tstate_lock\u001b[0;34m(self, block, timeout)\u001b[0m\n\u001b[1;32m 1113\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[1;32m 1115\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1116\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[43mlock\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43macquire\u001b[49m\u001b[43m(\u001b[49m\u001b[43mblock\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[1;32m 1117\u001b[0m lock\u001b[38;5;241m.\u001b[39mrelease()\n\u001b[1;32m 1118\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_stop()\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "import torch\n", + "from transformers import AutoModelForCausalLM, AutoTokenizer\n", + "from datasets import load_dataset\n", + "from trl import SFTTrainer\n", + "from transformers import TrainingArguments\n", + "import os\n", + "\n", + "# Distributed training setup (assuming all GPUs are available on a single machine)\n", + "def init_distributed():\n", + " # Replace with actual hostname or IP if using multiple machines\n", + " os.environ[\"MASTER_ADDR\"] = \"localhost\"\n", + " os.environ[\"MASTER_PORT\"] = \"12345\"\n", + " torch.distributed.init_process_group(backend='nccl', world_size=torch.cuda.device_count(), rank=rank)\n", + "\n", + "def cleanup_distributed():\n", + " torch.distributed.destroy_process_group()\n", + "\n", + "# Model and tokenizer selection\n", + "model_name = \"facebook/bart-base\" # Replace with your desired model\n", + "tokenizer = AutoTokenizer.from_pretrained(model_name)\n", + "model = AutoModelForCausalLM.from_pretrained(model_name)\n", + "\n", + "# Dataset loading (replace with your dataset and field names)\n", + "dataset = load_dataset(\"glue\", \"mnli\", split=\"train\")\n", + "text_field = \"premise\" # Assuming premise is the field containing text for prediction\n", + "\n", + "# Training arguments (adjust hyperparameters as needed)\n", + "training_args = TrainingArguments(\n", + " output_dir=\"./results\",\n", + " per_device_train_batch_size=2, # Adjust based on GPU memory\n", + " save_steps=500,\n", + " save_total_limit=2,\n", + " num_train_epochs=3, # Adjust training time as needed\n", + ")\n", + "\n", + "# Distributed training setup with SFTTrainer\n", + "if torch.distributed.is_initialized():\n", + " rank = torch.distributed.get_rank()\n", + " world_size = torch.distributed.get_world_size()\n", + " # Wrap model in DDP for distributed training\n", + " model = torch.nn.parallel.DistributedDataParallel(model, device_ids=[rank])\n", + "\n", + " # Create SFTTrainer with distributed settings\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " args=training_args, # Pass training_args as 'args' instead of 'training_args'\n", + " train_dataset=dataset,\n", + " dataset_text_field=text_field,\n", + " compute_metrics=None, # You can define your custom metrics here\n", + " world_size=world_size,\n", + " rank=rank,\n", + " )\n", + " print(f\"Trainer For distributed training loaded on rank {rank}\")\n", + "else:\n", + " # For single-GPU training\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " args=training_args, # Pass training_args as 'args' instead of 'training_args'\n", + " train_dataset=dataset,\n", + " dataset_text_field=text_field,\n", + " compute_metrics=None, # You can define your custom metrics here\n", + " )\n", + " print(\"Trainer For single-GPU loaded\")\n", + "\n", + "# Start training\n", + "trainer.train()\n", + "\n", + "# Cleanup after training\n", + "cleanup_distributed()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Traceback (most recent call last):\n", + " File \"\", line 1, in \n", + " File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/multiprocessing/spawn.py\", line 116, in spawn_main\n", + " exitcode = _main(fd, parent_sentinel)\n", + " File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/multiprocessing/spawn.py\", line 126, in _main\n", + " self = reduction.pickle.load(from_parent)\n", + "AttributeError: Can't get attribute 'main_worker' on \n", + "Traceback (most recent call last):\n", + " File \"\", line 1, in \n", + " File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/multiprocessing/spawn.py\", line 116, in spawn_main\n", + " exitcode = _main(fd, parent_sentinel)\n", + " File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/multiprocessing/spawn.py\", line 126, in _main\n", + " self = reduction.pickle.load(from_parent)\n", + "AttributeError: Can't get attribute 'main_worker' on \n" + ] + } + ], + "source": [ + "import os\n", + "import torch\n", + "import torch.multiprocessing as mp\n", + "from datasets import load_dataset\n", + "import torch\n", + "from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig, AutoTokenizer\n", + "from peft import LoraConfig\n", + "from trl import SFTTrainer\n", + "from transformers import TrainingArguments\n", + "from torch.nn.parallel import DistributedDataParallel as DDP\n", + "\n", + "\n", + "# Distributed training setup\n", + "def init_distributed():\n", + " os.environ[\"MASTER_ADDR\"] = \"localhost\"\n", + " os.environ[\"MASTER_PORT\"] = \"12345\"\n", + " torch.distributed.init_process_group(backend='nccl', world_size=torch.cuda.device_count(), rank=rank)\n", + "\n", + "def cleanup_distributed():\n", + " torch.distributed.destroy_process_group()\n", + "\n", + "def main_worker(rank, world_size):\n", + " init_distributed()\n", + "\n", + " # Your model training and fine-tuning code goes here\n", + " # Load the dataset\n", + " dataset_name = \"ruslanmv/ai-medical-dataset\"\n", + " dataset = load_dataset(dataset_name, split=\"train\")\n", + " # Select the first 1M rows of the dataset\n", + " dataset = dataset.select(range(100))\n", + "\n", + " # Load the model + tokenizer\n", + " model_name = \"meta-llama/Meta-Llama-3-8B-Instruct\"\n", + " tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)\n", + " tokenizer.pad_token = tokenizer.eos_token\n", + " bnb_config = BitsAndBytesConfig(\n", + " load_in_4bit=True,\n", + " bnb_4bit_quant_type=\"nf4\",\n", + " bnb_4bit_compute_dtype=torch.float16,\n", + " )\n", + " model = AutoModelForCausalLM.from_pretrained(\n", + " model_name,\n", + " quantization_config=bnb_config,\n", + " trust_remote_code=True,\n", + " use_cache=False,\n", + " )\n", + "\n", + " # Check for available GPUs\n", + " device = torch.device(f\"cuda:{rank}\" if torch.cuda.is_available() else \"cpu\")\n", + "\n", + " # PEFT config\n", + " lora_alpha = 1\n", + " lora_dropout = 0.1\n", + " lora_r = 32 # 64\n", + " peft_config = LoraConfig(\n", + " lora_alpha=lora_alpha,\n", + " lora_dropout=lora_dropout,\n", + " task_type=\"CAUSAL_LM\",\n", + " target_modules=[\"k_proj\", \"q_proj\", \"v_proj\", \"up_proj\", \"down_proj\", \"gate_proj\"],\n", + " modules_to_save=[\"embed_tokens\", \"input_layernorm\", \"post_attention_layernorm\", \"norm\"],\n", + " )\n", + "\n", + " # Args\n", + " max_seq_length = 512\n", + " output_dir = \"./results\"\n", + " per_device_train_batch_size = 2 # reduced batch size to avoid OOM\n", + " gradient_accumulation_steps = 2\n", + " optim = \"adamw_torch\"\n", + " save_steps = 10\n", + " logging_steps = 1\n", + " learning_rate = 2e-4\n", + " max_grad_norm = 0.3\n", + " max_steps = 1 # 300 Approx the size of guanaco at bs 8, ga 2, 2 GPUs.\n", + " warmup_ratio = 0.1\n", + " lr_scheduler_type = \"cosine\"\n", + " training_arguments = TrainingArguments(\n", + " output_dir=output_dir,\n", + " per_device_train_batch_size=per_device_train_batch_size,\n", + " gradient_accumulation_steps=gradient_accumulation_steps,\n", + " optim=optim,\n", + " save_steps=save_steps,\n", + " logging_steps=logging_steps,\n", + " learning_rate=learning_rate,\n", + " fp16=True,\n", + " max_grad_norm=max_grad_norm,\n", + " max_steps=max_steps,\n", + " warmup_ratio=warmup_ratio,\n", + " group_by_length=True,\n", + " lr_scheduler_type=lr_scheduler_type,\n", + " gradient_checkpointing=True, # gradient checkpointing\n", + " #report_to=\"wandb\",\n", + " )\n", + "\n", + " # Trainer\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " train_dataset=dataset,\n", + " peft_config=peft_config,\n", + " dataset_text_field=\"context\",\n", + " max_seq_length=max_seq_length,\n", + " tokenizer=tokenizer,\n", + " args=training_arguments,\n", + " )\n", + "\n", + " # Train :)\n", + " trainer.train()\n", + " cleanup_distributed()\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " world_size = torch.cuda.device_count()\n", + " mp.set_start_method('spawn') # Add this line to fix the error\n", + " processes = []\n", + " for rank in range(world_size):\n", + " p = mp.Process(target=main_worker, args=(rank, world_size))\n", + " p.start()\n", + " processes.append(p)\n", + " for p in processes:\n", + " p.join()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Supervised Finetuning Trainer (SFT Trainer)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "def finetune():\n", + " from datasets import load_dataset\n", + " import torch\n", + " from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig, AutoTokenizer\n", + " from peft import LoraConfig\n", + " from trl import SFTTrainer\n", + " from transformers import TrainingArguments\n", + " from torch.nn.parallel import DistributedDataParallel as DDP\n", + " # Load the dataset\n", + " dataset_name = \"ruslanmv/ai-medical-dataset\"\n", + " dataset = load_dataset(dataset_name, split=\"train\")\n", + " # Select the first 1M rows of the dataset\n", + " dataset = dataset.select(range(100))\n", + " # Load the model + tokenizer\n", + " model_name = \"meta-llama/Meta-Llama-3-8B-Instruct\"\n", + " tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)\n", + " tokenizer.pad_token = tokenizer.eos_token\n", + " bnb_config = BitsAndBytesConfig(\n", + " load_in_4bit=True,\n", + " bnb_4bit_quant_type=\"nf4\",\n", + " bnb_4bit_compute_dtype=torch.float16,\n", + " )\n", + " model = AutoModelForCausalLM.from_pretrained(\n", + " model_name,\n", + " quantization_config=bnb_config,\n", + " trust_remote_code=True,\n", + " use_cache=False,\n", + " )\n", + " # Check for available GPUs\n", + " if torch.cuda.device_count() > 1:\n", + " print(\"Multiple GPUs detected, enabling DataParallel...\")\n", + " model = DDP(model) # Wrap the model with DDP\n", + " else:\n", + " print(\"Using single GPU...\")\n", + " # PEFT config\n", + " lora_alpha = 16\n", + " lora_dropout = 0.1\n", + " lora_r = 32 # 64\n", + " peft_config = LoraConfig(\n", + " lora_alpha=lora_alpha,\n", + " lora_dropout=lora_dropout,\n", + " r=lora_r,\n", + " bias=\"none\",\n", + " task_type=\"CAUSAL_LM\",\n", + " target_modules=[\"k_proj\", \"q_proj\", \"v_proj\", \"up_proj\", \"down_proj\", \"gate_proj\"],\n", + " modules_to_save=[\"embed_tokens\", \"input_layernorm\", \"post_attention_layernorm\", \"norm\"],\n", + " )\n", + " # Args\n", + " max_seq_length = 512\n", + " output_dir = \"./results\"\n", + " per_device_train_batch_size = 2 # reduced batch size to avoid OOM\n", + " gradient_accumulation_steps = 2\n", + " optim = \"adamw_torch\"\n", + " save_steps = 10\n", + " logging_steps = 1\n", + " learning_rate = 2e-4\n", + " max_grad_norm = 0.3\n", + " max_steps = 1 # 300 Approx the size of guanaco at bs 8, ga 2, 2 GPUs.\n", + " warmup_ratio = 0.1\n", + " lr_scheduler_type = \"cosine\"\n", + "\n", + " training_arguments = TrainingArguments(\n", + " output_dir=output_dir,\n", + " per_device_train_batch_size=per_device_train_batch_size,\n", + " gradient_accumulation_steps=gradient_accumulation_steps,\n", + " optim=optim,\n", + " save_steps=save_steps,\n", + " logging_steps=logging_steps,\n", + " learning_rate=learning_rate,\n", + " fp16=True,\n", + " max_grad_norm=max_grad_norm,\n", + " max_steps=max_steps,\n", + " warmup_ratio=warmup_ratio,\n", + " group_by_length=True,\n", + " lr_scheduler_type=lr_scheduler_type,\n", + " gradient_checkpointing=True, # gradient checkpointing\n", + " #report_to=\"wandb\",\n", + " )\n", + " # Trainer\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " train_dataset=dataset,\n", + " peft_config=peft_config,\n", + " dataset_text_field=\"context\",\n", + " max_seq_length=max_seq_length,\n", + " tokenizer=tokenizer,\n", + " args=training_arguments,\n", + " )\n", + " # Train :)\n", + " trainer.train()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Initializing distributed process group...\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d32deaece84b4e2382865810c9c3f1f4", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Resolving data files: 0%| | 0/18 [00:00.\n", + "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n", + "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n" + ] + } + ], + "source": [ + "# Loading the model and the tokenizer for the model\n", + "model, tokenizer = FastLanguageModel.from_pretrained(\n", + " model_name=config[\"model_config\"].get(\"base_model\"),\n", + " max_seq_length=config[\"model_config\"].get(\"max_seq_length\"),\n", + " dtype=config[\"model_config\"].get(\"dtype\"),\n", + " load_in_4bit=config[\"model_config\"].get(\"load_in_4bit\"),\n", + "\n", + "\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "# Setup for QLoRA/LoRA peft of the base model\n", + "model = FastLanguageModel.get_peft_model(\n", + " model,\n", + " r = config.get(\"lora_config\").get(\"r\"),\n", + " target_modules = config.get(\"lora_config\").get(\"target_modules\"),\n", + " lora_alpha = config.get(\"lora_config\").get(\"lora_alpha\"),\n", + " lora_dropout = config.get(\"lora_config\").get(\"lora_dropout\"),\n", + " bias = config.get(\"lora_config\").get(\"bias\"),\n", + " use_gradient_checkpointing = config.get(\"lora_config\").get(\"use_gradient_checkpointing\"),\n", + " random_state = 42,\n", + " use_rslora = config.get(\"lora_config\").get(\"use_rslora\"),\n", + " use_dora = config.get(\"lora_config\").get(\"use_dora\"),\n", + " loftq_config = config.get(\"lora_config\").get(\"loftq_config\"),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "#from transformers import AutoModelForCausalLM, BitsAndBytesConfig, AutoTokenizer\n", + "#tokenizer = AutoTokenizer.from_pretrained(config.get(\"model_config\").get(\"base_model\"))\n", + "tokenizer.add_eos_token = True\n", + "tokenizer.pad_token_id = 0\n", + "tokenizer.padding_side = \"left\"" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dataset does not exist.\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2f16e19d432e4cfb8518dc80b1f54552", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Downloading readme: 0%| | 0.00/2.97k [00:00 1:\n", + " print(\"Multiple GPUs enabled\")\n", + " devices = [f\"cuda:{i}\" for i in range(torch.cuda.device_count())]\n", + " model_parallel = torch.nn.DataParallel(model, device_ids= devices ) #[0, 1]\n", + " # Access the original model from the DataParallel object\n", + " model = model_parallel.module\n", + " else:\n", + " print(\"No DataParallel \")\n", + " device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", + " model.to(device) " + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['cuda:0', 'cuda:1']" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "devices" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "PeftModelForCausalLM(\n", + " (base_model): LoraModel(\n", + " (model): LlamaForCausalLM(\n", + " (model): LlamaModel(\n", + " (embed_tokens): Embedding(128256, 4096)\n", + " (layers): ModuleList(\n", + " (0-31): 32 x LlamaDecoderLayer(\n", + " (self_attn): LlamaSdpaAttention(\n", + " (q_proj): lora.Linear4bit(\n", + " (base_layer): Linear4bit(in_features=4096, out_features=4096, bias=False)\n", + " (lora_dropout): ModuleDict(\n", + " (default): Identity()\n", + " )\n", + " (lora_A): ModuleDict(\n", + " (default): Linear(in_features=4096, out_features=16, bias=False)\n", + " )\n", + " (lora_B): ModuleDict(\n", + " (default): Linear(in_features=16, out_features=4096, bias=False)\n", + " )\n", + " (lora_embedding_A): ParameterDict()\n", + " (lora_embedding_B): ParameterDict()\n", + " )\n", + " (k_proj): lora.Linear4bit(\n", + " (base_layer): Linear4bit(in_features=4096, out_features=1024, bias=False)\n", + " (lora_dropout): ModuleDict(\n", + " (default): Identity()\n", + " )\n", + " (lora_A): ModuleDict(\n", + " (default): Linear(in_features=4096, out_features=16, bias=False)\n", + " )\n", + " (lora_B): ModuleDict(\n", + " (default): Linear(in_features=16, out_features=1024, bias=False)\n", + " )\n", + " (lora_embedding_A): ParameterDict()\n", + " (lora_embedding_B): ParameterDict()\n", + " )\n", + " (v_proj): lora.Linear4bit(\n", + " (base_layer): Linear4bit(in_features=4096, out_features=1024, bias=False)\n", + " (lora_dropout): ModuleDict(\n", + " (default): Identity()\n", + " )\n", + " (lora_A): ModuleDict(\n", + " (default): Linear(in_features=4096, out_features=16, bias=False)\n", + " )\n", + " (lora_B): ModuleDict(\n", + " (default): Linear(in_features=16, out_features=1024, bias=False)\n", + " )\n", + " (lora_embedding_A): ParameterDict()\n", + " (lora_embedding_B): ParameterDict()\n", + " )\n", + " (o_proj): lora.Linear4bit(\n", + " (base_layer): Linear4bit(in_features=4096, out_features=4096, bias=False)\n", + " (lora_dropout): ModuleDict(\n", + " (default): Identity()\n", + " )\n", + " (lora_A): ModuleDict(\n", + " (default): Linear(in_features=4096, out_features=16, bias=False)\n", + " )\n", + " (lora_B): ModuleDict(\n", + " (default): Linear(in_features=16, out_features=4096, bias=False)\n", + " )\n", + " (lora_embedding_A): ParameterDict()\n", + " (lora_embedding_B): ParameterDict()\n", + " )\n", + " (rotary_emb): LlamaRotaryEmbedding()\n", + " )\n", + " (mlp): LlamaMLP(\n", + " (gate_proj): lora.Linear4bit(\n", + " (base_layer): Linear4bit(in_features=4096, out_features=14336, bias=False)\n", + " (lora_dropout): ModuleDict(\n", + " (default): Identity()\n", + " )\n", + " (lora_A): ModuleDict(\n", + " (default): Linear(in_features=4096, out_features=16, bias=False)\n", + " )\n", + " (lora_B): ModuleDict(\n", + " (default): Linear(in_features=16, out_features=14336, bias=False)\n", + " )\n", + " (lora_embedding_A): ParameterDict()\n", + " (lora_embedding_B): ParameterDict()\n", + " )\n", + " (up_proj): lora.Linear4bit(\n", + " (base_layer): Linear4bit(in_features=4096, out_features=14336, bias=False)\n", + " (lora_dropout): ModuleDict(\n", + " (default): Identity()\n", + " )\n", + " (lora_A): ModuleDict(\n", + " (default): Linear(in_features=4096, out_features=16, bias=False)\n", + " )\n", + " (lora_B): ModuleDict(\n", + " (default): Linear(in_features=16, out_features=14336, bias=False)\n", + " )\n", + " (lora_embedding_A): ParameterDict()\n", + " (lora_embedding_B): ParameterDict()\n", + " )\n", + " (down_proj): lora.Linear4bit(\n", + " (base_layer): Linear4bit(in_features=14336, out_features=4096, bias=False)\n", + " (lora_dropout): ModuleDict(\n", + " (default): Identity()\n", + " )\n", + " (lora_A): ModuleDict(\n", + " (default): Linear(in_features=14336, out_features=16, bias=False)\n", + " )\n", + " (lora_B): ModuleDict(\n", + " (default): Linear(in_features=16, out_features=4096, bias=False)\n", + " )\n", + " (lora_embedding_A): ParameterDict()\n", + " (lora_embedding_B): ParameterDict()\n", + " )\n", + " (act_fn): SiLU()\n", + " )\n", + " (input_layernorm): LlamaRMSNorm()\n", + " (post_attention_layernorm): LlamaRMSNorm()\n", + " )\n", + " )\n", + " (norm): LlamaRMSNorm()\n", + " )\n", + " (lm_head): Linear(in_features=4096, out_features=128256, bias=False)\n", + " )\n", + " )\n", + ")" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "abb0b4aadff048d9b612a7a8e6ebd4a9", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Map (num_proc=2): 0%| | 0/100 [00:00 2\u001b[0m trainer_stats \u001b[38;5;241m=\u001b[39m \u001b[43mtrainer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/trl/trainer/sft_trainer.py:361\u001b[0m, in \u001b[0;36mSFTTrainer.train\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 358\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mneftune_noise_alpha \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_trainer_supports_neftune:\n\u001b[1;32m 359\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodel \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_trl_activate_neftune(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodel)\n\u001b[0;32m--> 361\u001b[0m output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 363\u001b[0m \u001b[38;5;66;03m# After training we make sure to retrieve back the original forward pass method\u001b[39;00m\n\u001b[1;32m 364\u001b[0m \u001b[38;5;66;03m# for the embedding layer by removing the forward post hook.\u001b[39;00m\n\u001b[1;32m 365\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mneftune_noise_alpha \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_trainer_supports_neftune:\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/transformers/trainer.py:1859\u001b[0m, in \u001b[0;36mTrainer.train\u001b[0;34m(self, resume_from_checkpoint, trial, ignore_keys_for_eval, **kwargs)\u001b[0m\n\u001b[1;32m 1857\u001b[0m hf_hub_utils\u001b[38;5;241m.\u001b[39menable_progress_bars()\n\u001b[1;32m 1858\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1859\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43minner_training_loop\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1860\u001b[0m \u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1861\u001b[0m \u001b[43m \u001b[49m\u001b[43mresume_from_checkpoint\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresume_from_checkpoint\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1862\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrial\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtrial\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1863\u001b[0m \u001b[43m \u001b[49m\u001b[43mignore_keys_for_eval\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mignore_keys_for_eval\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1864\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m:361\u001b[0m, in \u001b[0;36m_fast_inner_training_loop\u001b[0;34m(self, batch_size, args, resume_from_checkpoint, trial, ignore_keys_for_eval)\u001b[0m\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/transformers/trainer.py:3138\u001b[0m, in \u001b[0;36mTrainer.training_step\u001b[0;34m(self, model, inputs)\u001b[0m\n\u001b[1;32m 3135\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m loss_mb\u001b[38;5;241m.\u001b[39mreduce_mean()\u001b[38;5;241m.\u001b[39mdetach()\u001b[38;5;241m.\u001b[39mto(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs\u001b[38;5;241m.\u001b[39mdevice)\n\u001b[1;32m 3137\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcompute_loss_context_manager():\n\u001b[0;32m-> 3138\u001b[0m loss \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompute_loss\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3140\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs\u001b[38;5;241m.\u001b[39mn_gpu \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m 3141\u001b[0m loss \u001b[38;5;241m=\u001b[39m loss\u001b[38;5;241m.\u001b[39mmean() \u001b[38;5;66;03m# mean() to average on multi-gpu parallel training\u001b[39;00m\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/transformers/trainer.py:3161\u001b[0m, in \u001b[0;36mTrainer.compute_loss\u001b[0;34m(self, model, inputs, return_outputs)\u001b[0m\n\u001b[1;32m 3159\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 3160\u001b[0m labels \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m-> 3161\u001b[0m outputs \u001b[38;5;241m=\u001b[39m \u001b[43mmodel\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43minputs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3162\u001b[0m \u001b[38;5;66;03m# Save past state if it exists\u001b[39;00m\n\u001b[1;32m 3163\u001b[0m \u001b[38;5;66;03m# TODO: this needs to be fixed and made cleaner later.\u001b[39;00m\n\u001b[1;32m 3164\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs\u001b[38;5;241m.\u001b[39mpast_index \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/modules/module.py:1511\u001b[0m, in \u001b[0;36mModule._wrapped_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1509\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_compiled_call_impl(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;66;03m# type: ignore[misc]\u001b[39;00m\n\u001b[1;32m 1510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1511\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/modules/module.py:1520\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1516\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1517\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1518\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1519\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1520\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1522\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 1523\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py:185\u001b[0m, in \u001b[0;36mDataParallel.forward\u001b[0;34m(self, *inputs, **kwargs)\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodule(\u001b[38;5;241m*\u001b[39minputs[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mmodule_kwargs[\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m 184\u001b[0m replicas \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mreplicate(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodule, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdevice_ids[:\u001b[38;5;28mlen\u001b[39m(inputs)])\n\u001b[0;32m--> 185\u001b[0m outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparallel_apply\u001b[49m\u001b[43m(\u001b[49m\u001b[43mreplicas\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodule_kwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 186\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgather(outputs, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moutput_device)\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py:200\u001b[0m, in \u001b[0;36mDataParallel.parallel_apply\u001b[0;34m(self, replicas, inputs, kwargs)\u001b[0m\n\u001b[1;32m 199\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mparallel_apply\u001b[39m(\u001b[38;5;28mself\u001b[39m, replicas: Sequence[T], inputs: Sequence[Any], kwargs: Any) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m List[Any]:\n\u001b[0;32m--> 200\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mparallel_apply\u001b[49m\u001b[43m(\u001b[49m\u001b[43mreplicas\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdevice_ids\u001b[49m\u001b[43m[\u001b[49m\u001b[43m:\u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mreplicas\u001b[49m\u001b[43m)\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/parallel/parallel_apply.py:108\u001b[0m, in \u001b[0;36mparallel_apply\u001b[0;34m(modules, inputs, kwargs_tup, devices)\u001b[0m\n\u001b[1;32m 106\u001b[0m output \u001b[38;5;241m=\u001b[39m results[i]\n\u001b[1;32m 107\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(output, ExceptionWrapper):\n\u001b[0;32m--> 108\u001b[0m \u001b[43moutput\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreraise\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 109\u001b[0m outputs\u001b[38;5;241m.\u001b[39mappend(output)\n\u001b[1;32m 110\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m outputs\n", + "File \u001b[0;32m/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/_utils.py:722\u001b[0m, in \u001b[0;36mExceptionWrapper.reraise\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 718\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m 719\u001b[0m \u001b[38;5;66;03m# If the exception takes multiple arguments, don't try to\u001b[39;00m\n\u001b[1;32m 720\u001b[0m \u001b[38;5;66;03m# instantiate since we don't know how to\u001b[39;00m\n\u001b[1;32m 721\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(msg) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m--> 722\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exception\n", + "\u001b[0;31mRuntimeError\u001b[0m: Caught RuntimeError in replica 1 on device 1.\nOriginal Traceback (most recent call last):\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/parallel/parallel_apply.py\", line 83, in _worker\n output = module(*input, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n return forward_call(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/unsloth/models/llama.py\", line 882, in PeftModelForCausalLM_fast_forward\n return self.base_model(\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n return forward_call(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/peft/tuners/tuners_utils.py\", line 161, in forward\n return self.model.forward(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/accelerate/hooks.py\", line 166, in new_forward\n output = module._old_forward(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/unsloth/models/llama.py\", line 813, in _CausalLM_fast_forward\n outputs = self.model(\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n return forward_call(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/accelerate/hooks.py\", line 166, in new_forward\n output = module._old_forward(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/unsloth/models/llama.py\", line 668, in LlamaModel_fast_forward\n layer_outputs = torch.utils.checkpoint.checkpoint(\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/_compile.py\", line 24, in inner\n return torch._dynamo.disable(fn, recursive)(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py\", line 489, in _fn\n return fn(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/_dynamo/external_utils.py\", line 17, in inner\n return fn(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/utils/checkpoint.py\", line 482, in checkpoint\n return CheckpointFunction.apply(function, preserve, *args)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/autograd/function.py\", line 553, in apply\n return super().apply(*args, **kwargs) # type: ignore[misc]\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/utils/checkpoint.py\", line 261, in forward\n outputs = run_function(*args)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/unsloth/models/llama.py\", line 664, in custom_forward\n return module(*inputs, past_key_value, output_attentions, padding_mask = padding_mask)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n return forward_call(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/accelerate/hooks.py\", line 166, in new_forward\n output = module._old_forward(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/unsloth/models/llama.py\", line 433, in LlamaDecoderLayer_fast_forward\n hidden_states, self_attn_weights, present_key_value = self.self_attn(\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n return forward_call(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/accelerate/hooks.py\", line 166, in new_forward\n output = module._old_forward(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/unsloth/models/llama.py\", line 308, in LlamaAttention_fast_forward\n Q, K, V = self.apply_qkv(self, hidden_states)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/unsloth/kernels/fast_lora.py\", line 312, in apply_lora_qkv\n Q, K, V = LoRA_QKV.apply(X,\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/autograd/function.py\", line 553, in apply\n return super().apply(*args, **kwargs) # type: ignore[misc]\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/torch/cuda/amp/autocast_mode.py\", line 115, in decorate_fwd\n return fwd(*args, **kwargs)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/unsloth/kernels/fast_lora.py\", line 227, in forward\n Q = matmul_lora(X, QW, QW_quant, QA, QB, QS)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/unsloth/kernels/utils.py\", line 225, in matmul_lora\n W = fast_dequantize(W.t(), W_quant)\n File \"/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/unsloth/kernels/utils.py\", line 104, in fast_dequantize\n out_absmax += offset\nRuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cuda:0!\n" + ] + } + ], + "source": [ + "# Training the model\n", + "trainer_stats = trainer.train()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "YQFEr64koXp1", + "outputId": "2e1b3775-1f5d-4b8e-a0ef-32266cb7fa2a" + }, + "outputs": [], + "source": [ + "# Memory statistics after training\n", + "used_memory = round(torch.cuda.max_memory_allocated() / 1024**3, 2)\n", + "used_memory_lora = round(used_memory - reserved_memory, 2)\n", + "used_memory_persentage = round((used_memory / max_memory) * 100, 2)\n", + "used_memory_lora_persentage = round((used_memory_lora / max_memory) * 100, 2)\n", + "print(f\"Used Memory: {used_memory}GB ({used_memory_persentage}%)\")\n", + "print(f\"Used Memory for training(fine-tuning) LoRA: {used_memory_lora}GB ({used_memory_lora_persentage}%)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "new_model=config.get(\"model_config\").get(\"finetuned_model\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "new_model" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "1YJB4bZyoXp1" + }, + "outputs": [], + "source": [ + "# Saving the trainer stats\n", + "with open(\"trainer_stats.json\", \"w\") as f:\n", + " json.dump(trainer_stats, f, indent=4)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "## Save and push the adapter to HF\n", + "import os\n", + "current_directory = os.getcwd()\n", + "# New model name\n", + "new_model = config.get(\"model_config\").get(\"finetuned_name\") #\"Medical-Mind-Llama-3-8b\"\n", + "# Save the fine-tuned model\n", + "save_path = os.path.join(current_directory, \"models\", new_model)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#os.makedirs(save_path, exist_ok=True) # Create directory if it doesn't exist\n", + "#trainer.model.save_pretrained(save_path)\n", + "tokenizer.save_pretrained(save_path)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "help(model.save_pretrained_merged)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To save the final model as LoRA adapters, either use Huggingface's push_to_hub for an online save or save_pretrained for a local save.\n", + "\n", + "[NOTE] This ONLY saves the LoRA adapters, and not the full model. To save to 16bit or GGUF, scroll down!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Save the model to the created directory\n", + "# `lora`: Save LoRA adapters with no merging. Useful for HF inference.\n", + "#model.save_pretrained(save_path)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "# Saving the model using merged_16bit(float16), \n", + "#`16bit`: Merge LoRA into float16 weights. Useful for GGUF / llama.cpp.\n", + "#model.save_pretrained_merged(save_path, tokenizer, save_method = \"merged_16bit\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# `4bit`: Merge LoRA into int4 weights. Useful for DPO / HF inference.\n", + "model.save_pretrained_merged(save_path, tokenizer, save_method = \"merged_4bit_forced\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "save_path" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Get the list of files in the directory\n", + "files_in_model_dir = os.listdir(save_path)\n", + "# Print the list of files\n", + "print(\"Files in the directory:\")\n", + "for file in files_in_model_dir:\n", + " print(file)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "from huggingface_hub import HfApi\n", + "def upload_folder(folder_path, repository_name, path_in_repo):\n", + " api = HfApi()\n", + " \n", + " # Check if the repository exists, if not, create it\n", + " repo_exists = api.repo_exists(repository_name)\n", + " if not repo_exists:\n", + " api.create_repo(repository_name)\n", + " print(f\"Repository '{repository_name}' created on Hugging Face Hub.\")\n", + "\n", + " for root, dirs, files in os.walk(folder_path):\n", + " for file in files:\n", + " file_path = os.path.join(root, file)\n", + " relative_path = os.path.relpath(file_path, folder_path)\n", + " repo_path = os.path.join(path_in_repo, relative_path)\n", + " api.upload_file(path_or_fileobj=file_path, repo_id=repository_name, path_in_repo=repo_path)\n", + " print(f\"{repo_path} uploaded to {repository_name}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Define the repository name and path in the repository\n", + "repository_name = \"ruslanmv/\"+new_model\n", + "path_in_repo = \"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "repository_name" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Upload the folder and its contents to the repository\n", + "upload_folder(save_path, repository_name, path_in_repo)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#help(model.push_to_hub_merged)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#save_path='/home/wsuser/work/models/Medical-Mind-Llama-3-8b'\n", + "#repo_id='ruslanmv/Medical-Mind-Llama-3-8b'\n", + "#commit_message=\"Uploading Model\"\n", + "#model.push_to_hub_merged(repo_id, tokenizer, save_method = \"merged_16bit\",commit_message=commit_message)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#model.push_to_hub_merged(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, save_method = \"merged_4bit\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#model.save_pretrained_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer)\n", + "#model.push_to_hub_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer,repository_private=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#model.save_pretrained_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, quantization_method = \"q4_k_m\")\n", + "#model.push_to_hub_gguf(config.get(\"model_config\").get(\"finetuned_model\"), tokenizer, quantization_method = \"q4_k_m\",private=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/Python-RT23.1-CUDA/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n", + " warnings.warn(\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8f1cc811458d464c906abab21b49d230", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "config.json: 0%| | 0.00/1.12k [00:00.\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c900fe27e6ab4026bf82f8d9fc8127ce", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "model.safetensors.index.json: 0%| | 0.00/132k [00:00system<|end_header_id|> You are a Medical AI chatbot assistant .<|eot_id|><|start_header_id|> user <|end_header_id|>{question}<|eot_id|>\"\n", + " # Tokenizing the input and generating the output\n", + " inputs = tokenizer([prompt], return_tensors = \"pt\").to(\"cuda\")\n", + " outputs = model.generate(**inputs, max_new_tokens = 256, use_cache = True)\n", + " answer = tokenizer.batch_decode(outputs, skip_special_tokens=True)[0] # Get the first element from the batch\n", + "\n", + " # Split the answer at the first line break, assuming system intro and question are on separate lines\n", + " answer_parts = answer.split(\"\\n\", 1)\n", + "\n", + " # If there are multiple parts, consider the second part as the answer\n", + " if len(answer_parts) > 1:\n", + " answer = answer_parts[1].strip() # Remove leading/trailing whitespaces\n", + " else:\n", + " answer = \"\" # If no split possible, set answer to empty string\n", + "\n", + " print(f\"Answer: {answer}\") \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Hyperparameter search\n", + "**Step 1: Define the Hyperparameter Search Space**\n", + "We need to define the search space for the hyperparameters we want to tune. For example, let's say we want to tune the following hyperparameters:\n", + "\n", + "* `learning_rate`\n", + "* `per_device_train_batch_size`\n", + "* `gradient_accumulation_steps`\n", + "* `warmup_steps`\n", + "* `num_train_epochs`\n", + "* `lora_alpha`\n", + "* `lora_dropout`\n", + "\n", + "We can define the search space as follows:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import hyperopt\n", + "from hyperopt import hp\n", + "from hyperopt import Trials\n", + "from hyperopt import fmin, tpe, Trials\n", + "# Define the search space for hyperparameters\n", + "space = {\n", + " 'learning_rate': hp.loguniform('learning_rate', -5, -1), # Learning rate in log scale\n", + " #'lora_alpha': hp.quniform('lora_alpha', 1, 32, 1), # LoRA alpha with quantized steps\n", + " #'lora_dropout': hp.uniform('lora_dropout', 0, 0.5), # LoRA dropout rate\n", + "\n", + " 'per_device_train_batch_size': hp.quniform('per_device_train_batch_size', 2, 16, q=1), \n", + " 'gradient_accumulation_steps': hp.quniform('gradient_accumulation_steps', 1, 8, 1), # Added for exploration\n", + " # Uncomment these if you want to tune other hyperparameters\n", + " # 'warmup_steps': hp.quniform('warmup_steps', 0, 1000, 1),\n", + " # 'num_train_epochs': hp.quniform('num_train_epochs', 1, 5, 1), \n", + "\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Step 2. Define the Objective Function**\n", + "\n", + "The objective function is a function that takes in the hyperparameters, sets them in the `config` dictionary, trains the model, and returns the loss or metric to minimize. We need to modify the previous fine-tuning code to define the objective function." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def objective(params):\n", + " # Set hyperparameters in the config dictionary (assuming it's defined elsewhere)\n", + " config['training_config']['learning_rate'] = params['learning_rate']\n", + " # config['lora_config']['lora_alpha'] = params['lora_alpha']\n", + " # config['lora_config']['lora_dropout'] = params['lora_dropout'] \n", + " config['training_config']['per_device_train_batch_size'] = params['per_device_train_batch_size']\n", + " config['training_config']['gradient_accumulation_steps'] = params['gradient_accumulation_steps']\n", + " # ... Set other hyperparameters from params dictionary ... \n", + " #config['training_config']['warmup_steps'] = params['warmup_steps']\n", + " #config['training_config']['num_train_epochs'] = params['num_train_epochs']\n", + "\n", + " # Load the model and tokenizer (assuming these are defined elsewhere)\n", + " try:\n", + " model, tokenizer = FastLanguageModel.from_pretrained(\n", + " model_name=config.get(\"model_config\").get(\"base_model\"),\n", + " max_seq_length=config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dtype=config.get(\"model_config\").get(\"dtype\"),\n", + " load_in_4bit=config.get(\"model_config\").get(\"load_in_4bit\"),\n", + " )\n", + " except Exception as e:\n", + " print(f\"Error loading model and tokenizer: {e}\")\n", + " return float(\"inf\") # Return high value for errors\n", + "\n", + " # Setup LoRA for the model (assuming FastLanguageModel supports LoRA)\n", + " try:\n", + " model = FastLanguageModel.get_peft_model(\n", + " model,\n", + " r=config.get(\"lora_config\").get(\"r\"),\n", + " target_modules=config.get(\"lora_config\").get(\"target_modules\"),\n", + " lora_alpha=params['lora_alpha'],\n", + " lora_dropout=params['lora_dropout'],\n", + " bias=config.get(\"lora_config\").get(\"bias\"),\n", + " use_gradient_checkpointing=config.get(\"lora_config\").get(\"use_gradient_checkpointing\"),\n", + " random_state=42,\n", + " use_rslora=config.get(\"lora_config\").get(\"use_rslora\"),\n", + " use_dora=config.get(\"lora_config\").get(\"use_dora\"),\n", + " loftq_config=config.get(\"lora_config\").get(\"loftq_config\")\n", + " )\n", + " except Exception as e:\n", + " print(f\"Error setting up LoRA: {e}\")\n", + " return float(\"inf\") # Return high value for errors\n", + " # Train the model on the test dataset (assuming SFTTrainer and training arguments are defined)\n", + " try:\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " tokenizer=tokenizer,\n", + " train_dataset=train_dataset,\n", + " dataset_text_field=config.get(\"training_dataset\").get(\"input_field\"),\n", + " max_seq_length=config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dataset_num_proc=2,\n", + " packing=False,\n", + " args=TrainingArguments(\n", + " per_device_train_batch_size=int(params['per_device_train_batch_size']),\n", + " gradient_accumulation_steps=params['gradient_accumulation_steps'],\n", + " warmup_steps=params['warmup_steps'],\n", + " max_steps=config.get(\"training_config\").get(\"max_steps\"),\n", + " num_train_epochs=params['num_train_epochs'],\n", + " learning_rate=params['learning_rate'],\n", + " fp16=config.get(\"training_config\").get(\"fp16\"),\n", + " bf16=config.get(\"training_config\").get(\"bf16\"),\n", + " logging_steps=config.get(\"training_config\").get(\"logging_steps\"),\n", + " optim=config.get(\"training_config\").get(\"optim\"),\n", + " weight_decay=config.get(\"training_config\").get(\"weight_decay\"),\n", + " lr_scheduler_type=config.get(\"training_config\").get(\"lr_scheduler_type\"),\n", + " seed=42,\n", + " output_dir=config.get(\"training_config\").get(\"output_dir\")\n", + " )\n", + " )\n", + " trainer_stats = trainer.train()\n", + " return trainer_stats.loss # Assuming loss is the metric to minimize\n", + " except Exception as e:\n", + " print(f\"Error during training: {e}\")\n", + " return float(\"inf\") # Return high value for failed trials\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Step 3: Perform Hyperparameter Search**\n", + "\n", + "Now that we have defined the objective function, we can perform the hyperparameter search using Hyperopt's `fmin` function. We need to specify the objective function, the search space, and the maximum number of evaluations." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Create a Trials object to track hyperparameter evaluations\n", + "trials = Trials()\n", + "# Run hyperparameter optimization using TPE algorithm\n", + "best = fmin(objective, space, algo=tpe.suggest, trials=trials, max_evals=2)\n", + "# Print the best hyperparameters found during optimization\n", + "print(\"Best Hyperparameters:\", best)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import gc\n", + "def reset_gpu_memory():\n", + " torch.cuda.empty_cache()\n", + " gc.collect()\n", + " print(\"GPU memory cleared!\")\n", + "# Example usage:\n", + "reset_gpu_memory()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Full code version" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#### Fixed Version\n", + "import hyperopt\n", + "from hyperopt import hp\n", + "from hyperopt import Trials\n", + "from hyperopt import fmin, tpe, Trials\n", + "# Define the search space for hyperparameters\n", + "space = {\n", + " 'learning_rate' : hp.loguniform('learning_rate', -5, -1), # Learning rate in log scale\n", + " 'per_device_train_batch_size': hp.quniform('per_device_train_batch_size', 2, 16, 1), \n", + " 'gradient_accumulation_steps': hp.quniform('gradient_accumulation_steps', 1, 8, 1), \n", + " # Uncomment these if you want to tune them\n", + " #'lora_alpha' : hp.quniform('lora_alpha', 1, 32, 1), # LoRA alpha with quantized steps\n", + " #'lora_dropout' : hp.uniform('lora_dropout', 0, 0.5), # LoRA dropout rate\n", + " # 'warmup_steps' : hp.quniform('warmup_steps', 0, 1000, 1),\n", + " # 'num_train_epochs' : hp.quniform('num_train_epochs', 1, 5, 1),\n", + "}\n", + "def objective(params):\n", + " # Set hyperparameters in the config dictionary (assuming it's defined elsewhere)\n", + " config['training_config']['learning_rate']=params['learning_rate']\n", + " config['training_config']['per_device_train_batch_size'] = params['per_device_train_batch_size']\n", + " config['training_config']['gradient_accumulation_steps'] = params['gradient_accumulation_steps'] \n", + " # config['lora_config']['lora_alpha'] = params['lora_alpha']\n", + " # config['lora_config']['lora_dropout'] = params['lora_dropout']\n", + " # ... Set other hyperparameters from params dictionary ...\n", + " #config['training_config']['warmup_steps'] = params['warmup_steps']\n", + " #config['training_config']['num_train_epochs'] = params['num_train_epochs']\n", + " # Load the model and tokenizer (assuming these are defined elsewhere) \n", + " try:\n", + " model, tokenizer = FastLanguageModel.from_pretrained(\n", + " model_name = config.get(\"model_config\").get(\"base_model\"),\n", + " max_seq_length = config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dtype = config.get(\"model_config\").get(\"dtype\"),\n", + " load_in_4bit = config.get(\"model_config\").get(\"load_in_4bit\")\n", + " )\n", + " except Exception as e:\n", + " print(f\"Error loading model and tokenizer: {e}\")\n", + " return float(\"inf\") # Return high value for errors\n", + "\n", + " # Setup LoRA for the model (assuming FastLanguageModel supports LoRA)\n", + " try:\n", + " model = FastLanguageModel.get_peft_model(\n", + " model,\n", + " r = config.get(\"lora_config\").get(\"r\"),\n", + " target_modules = config.get(\"lora_config\").get(\"target_modules\"),\n", + " lora_alpha = config.get(\"lora_config\").get('lora_alpha'), #params['lora_alpha'],\n", + " lora_dropout = config.get(\"lora_config\").get('lora_dropout'),#params['lora_dropout'],\n", + " bias = config.get(\"lora_config\").get(\"bias\"),\n", + " use_gradient_checkpointing = config.get(\"lora_config\").get(\"use_gradient_checkpointing\"),\n", + " random_state = 42,\n", + " use_rslora = config.get(\"lora_config\").get(\"use_rslora\"),\n", + " use_dora = config.get(\"lora_config\").get(\"use_dora\"),\n", + " loftq_config = config.get(\"lora_config\").get(\"loftq_config\")\n", + " )\n", + " except Exception as e:\n", + " print(f\"Error setting up LoRA: {e}\")\n", + " return float(\"inf\") # Return high value for errors\n", + " # Train the model on the test dataset (assuming SFTTrainer and training arguments are defined)\n", + " try:\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " tokenizer = tokenizer,\n", + " train_dataset = train_dataset,\n", + " dataset_text_field = config.get(\"training_dataset\").get(\"input_field\"),\n", + " max_seq_length = config.get(\"model_config\").get(\"max_seq_length\"),\n", + " dataset_num_proc = 2,\n", + " packing = False,\n", + " args=TrainingArguments(\n", + " per_device_train_batch_size = int(params['per_device_train_batch_size']), #config.get(\"training_config\").get('per_device_train_batch_size'),\n", + " gradient_accumulation_steps = params['gradient_accumulation_steps'], #config.get(\"training_config\").get('gradient_accumulation_steps'),\n", + " warmup_steps = config.get(\"training_config\").get('warmup_steps'),#params['warmup_steps'],\n", + " max_steps = config.get(\"training_config\").get(\"max_steps\"),\n", + " num_train_epochs = config.get(\"training_config\").get('num_train_epochs'),#params['num_train_epochs'],\n", + " learning_rate = params['learning_rate'],\n", + " fp16 = config.get(\"training_config\").get(\"fp16\"),\n", + " bf16 = config.get(\"training_config\").get(\"bf16\"),\n", + " logging_steps = config.get(\"training_config\").get(\"logging_steps\"),\n", + " optim = config.get(\"training_config\").get(\"optim\"),\n", + " weight_decay = config.get(\"training_config\").get(\"weight_decay\"),\n", + " lr_scheduler_type = config.get(\"training_config\").get(\"lr_scheduler_type\"),\n", + " seed = 42,\n", + " output_dir = config.get(\"training_config\").get(\"output_dir\")\n", + " )\n", + " )\n", + " trainer_stats = trainer.train()\n", + " return trainer_stats.loss # Assuming loss is the metric to minimize\n", + " except Exception as e:\n", + " print(f\"Error during training: {e}\")\n", + " return float(\"inf\") # Return high value for failed trials \n", + "# Create a Trials object to track hyperparameter evaluations\n", + "trials = Trials()\n", + "# Run hyperparameter optimization using TPE algorithm\n", + "best = fmin(objective, space, algo=tpe.suggest, trials=trials, max_evals=2)\n", + "# Print the best hyperparameters found during optimization\n", + "print(\"Best Hyperparameters:\", best) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Analyzing Hyperparameters:\n", + "\n", + "* **Batch Size**: Generally, increasing the batch size can improve training speed by utilizing hardware resources more efficiently. However, there's a limit beyond which performance degrades. You can tune the batch size within a reasonable range (e.g., 2, 4, 8, 16) to see its impact.\n", + "\n", + "* **Learning Rate**: A higher learning rate can accelerate training initially. But, a too high value can lead to unstable training and potentially slower convergence. Consider a range of learning rates (e.g., log-uniform distribution between 1e-5 and 1e-3) for exploration.\n", + "\n", + "* **Gradient Accumulation Steps**: This technique accumulates gradients over multiple batches before updating model weights. It can help reduce memory requirements but might slow down training per epoch. Experiment with different accumulation steps (e.g., 1, 2, 4) to find a balance.\n", + "\n", + "* **Optimizer Choice**: Some optimizers like Adam or SGD with momentum can be faster than others depending on the model and dataset. Explore different optimizers and their hyperparameters (e.g., momentum coefficient) to see if they lead to faster convergence.\n", + "\n", + "## Additional Considerations:\n", + "\n", + "Early Stopping: Implement early stopping to automatically terminate training if the validation loss doesn't improve for a certain number of epochs. This can save training time if the model starts overfitting.\n", + "Warmup Steps: A gradual increase in the learning rate during the initial training phase (warmup steps) can improve stability and potentially accelerate convergence compared to a fixed learning rate from the beginning.\n", + "\n", + "\n", + "* Experimentation and Profiling:\n", + "\n", + "The best hyperparameters for faster training depend on your specific model, dataset, and hardware. You'll need to experiment with different configurations using tools like Hyperopt to find the optimal settings.\n", + "Consider using profiling tools to identify bottlenecks in your training pipeline. This can help you focus on optimizing specific parts of the training process that are most time-consuming.\n", + "By analyzing these hyperparameters and implementing techniques like early stopping and warmup steps, you can potentially achieve faster fine-tuning while maintaining good model performance." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Method 1 Optuna" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from optuna import create_study, Trial\n", + "import time # Assuming you can use time.time() to measure training time\n", + "\n", + "# Define search space with additional hyperparameter\n", + "search_space = {\n", + " \"learning_rate\": [1e-5, 5e-5, 1e-4, 2e-4],\n", + " \"per_device_train_batch_size\": [2, 4, 8],\n", + " \"lora_alpha\": [8, 16, 32],\n", + " \"gradient_accumulation_steps\": [1, 2, 4, 8], # Added gradient accumulation steps\n", + "}\n", + "\n", + "def objective(trial):\n", + " # Set hyperparameters based on trial values\n", + " config[\"training_config\"][\"learning_rate\"] = trial.suggest_float(\"learning_rate\", search_space[\"learning_rate\"][0], search_space[\"learning_rate\"][-1])\n", + " config[\"training_config\"][\"per_device_train_batch_size\"] = trial.suggest_int(\"per_device_train_batch_size\", search_space[\"per_device_train_batch_size\"][0], search_space[\"per_device_train_batch_size\"][-1])\n", + " config[\"training_config\"][\"gradient_accumulation_steps\"] = trial.suggest_int(\"gradient_accumulation_steps\", search_space[\"gradient_accumulation_steps\"][0], search_space[\"gradient_accumulation_steps\"][-1])\n", + " config[\"lora_config\"][\"lora_alpha\"] = trial.suggest_int(\"lora_alpha\", search_space[\"lora_alpha\"][0], search_space[\"lora_alpha\"][-1])\n", + "\n", + " # Train the model with the current hyperparameters\n", + " start_time = time.time()\n", + " try:\n", + " trainer_stats = trainer_test.train()\n", + " training_time = time.time() - start_time\n", + " return training_time # Minimize training time\n", + " except Exception as e:\n", + " return float(\"inf\") # Assign a high value if training fails\n", + "\n", + "study = create_study(direction=\"minimize\")\n", + "study.optimize(objective, n_trials=2) # Adjust the number of trials\n", + "\n", + "# Access the best trial and its hyperparameters after optimization\n", + "best_trial = study.best_trial\n", + "best_params = best_trial.params\n", + "\n", + "print(\"Best Trial:\", best_trial.number)\n", + "print(\"Best Hyperparameters (Likely Fastest):\", best_params)\n", + "print(\"Best Training Time:\", best_trial.value, \"seconds\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "accelerator": "GPU", + "colab": { + "gpuType": "L4", + "machine_shape": "hm", + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3.10", + "language": "python", + "name": "python3" + }, + 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torch.nn.functional as F\n", + "from torch.utils.data import Dataset, DataLoader\n", + "from datautils import MyTrainDataset\n", + "import torch.multiprocessing as mp\n", + "from torch.utils.data.distributed import DistributedSampler\n", + "from torch.nn.parallel import DistributedDataParallel as DDP\n", + "from torch.distributed import init_process_group, destroy_process_group\n", + "import os\n", + "import argparse\n", + "from datasets import load_dataset\n", + "from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig\n", + "from peft import LoraConfig\n", + "from trl import SFTTrainer\n", + "from transformers import TrainingArguments\n", + "\n", + "def ddp_setup(rank, world_size):\n", + " os.environ[\"MASTER_ADDR\"] = \"localhost\"\n", + " os.environ[\"MASTER_PORT\"] = \"12355\"\n", + " init_process_group(backend=\"nccl\", rank=rank, world_size=world_size)\n", + " torch.cuda.set_device(rank)\n", + "\n", + "class Trainer:\n", + " def __init__(self, model, train_data, optimizer, gpu_id, save_every):\n", + " self.gpu_id = gpu_id\n", + " self.model = model.to(gpu_id)\n", + " self.train_data = train_data\n", + " self.optimizer = optimizer\n", + " self.save_every = save_every\n", + " f.model = DDP(model, device_ids=[gpu_id])\n", + "\n", + " def _run_batch(self, source, targets):\n", + " self.optimizer.zero_grad()\n", + " output = self.model(source)\n", + " loss = F.cross_entropy(output, targets)\n", + " loss.backward()\n", + " self.optimizer.step()\n", + "\n", + " def _run_epoch(self, epoch):\n", + " b_sz = len(next(iter(self.train_data))[0])\n", + " print(f\"[GPU{self.gpu_id}] Epoch {epoch} | Batchsize: {b_sz} | Steps: {len(self.train_data)}\")\n", + " self.train_data.sampler.set_epoch(epoch)\n", + " for source, targets in self.train_data:\n", + " source = source.to(self.gpu_id)\n", + " targets = targets.to(self.gpu_id)\n", + " self._run_batch(source, targets)\n", + "\n", + " def _save_checkpoint(self, epoch):\n", + " ckp = self.model.module.state_dict()\n", + " PATH = \"checkpoint.pt\"\n", + " torch.save(ckp, PATH)\n", + " print(f\"Epoch {epoch} | Training checkpoint saved at {PATH}\")\n", + "\n", + " def train(self, max_epochs):\n", + " for epoch in range(max_epochs):\n", + " self._run_epoch(epoch)\n", + " if self.gpu_id == 0 and epoch % self.save_every == 0:\n", + " self._save_checkpoint(epoch)\n", + "\n", + "def load_train_objs():\n", + " dataset_name = \"ruslanmv/ai-medical-dataset\"\n", + " dataset = load_dataset(dataset_name, split=\"train\")\n", + " dataset = dataset.select(range(100))\n", + "\n", + " model_name = \"meta-llama/Meta-Llama-3-8B-Instruct\"\n", + " tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)\n", + " tokenizer.pad_token = tokenizer.eos_token\n", + "\n", + " bnb_config = BitsAndBytesConfig(\n", + " load_in_4bit=True,\n", + " bnb_4bit_quant_type=\"nf4\",\n", + " bnb_4bit_compute_dtype=torch.float16,\n", + " )\n", + " model = AutoModelForCausalLM.from_pretrained(\n", + " model_name,\n", + " quantization_config=bnb_config,\n", + " trust_remote_code=True,\n", + " use_cache=False,\n", + " device_map=\"auto\",\n", + " )\n", + "\n", + " lora_alpha = 16\n", + " lora_dropout = 0.1\n", + " lora_r = 32\n", + " peft_config = LoraConfig(\n", + " lora_alpha=lora_alpha,\n", + " lora_dropout=lora_dropout,\n", + " r=lora_r,\n", + " bias=\"none\",\n", + " task_type=\"CAUSAL_LM\",\n", + " target_modules=[\"k_proj\", \"q_proj\", \"v_proj\", \"up_proj\", \"down_proj\", \"gate_proj\"],\n", + " modules_to_save=[\"embed_tokens\", \"input_layernorm\", \"post_attention_layernorm\", \"norm\"],\n", + " )\n", + "\n", + " max_seq_length = 512\n", + " output_dir = \"./results\"\n", + " per_device_train_batch_size = 2\n", + " gradient_accumulation_steps = 2\n", + " optim = \"adamw_torch\"\n", + " save_steps = 10\n", + " logging_steps = 1\n", + " learning_rate = 2e-4\n", + " max_grad_norm = 0.3\n", + " max_steps = 1\n", + " warmup_ratio = 0.1\n", + " lr_scheduler_type = \"cosine\"\n", + "\n", + " training_arguments = TrainingArguments(\n", + " output_dir=output_dir,\n", + " per_device_train_batch_size=per_device_train_batch_size,\n", + " gradient_accumulation_steps=gradient_accumulation_steps,\n", + " optim=optim,\n", + " save_steps=save_steps,\n", + " logging_steps=logging_steps,\n", + " learning_rate=learning_rate,\n", + " fp16=True,\n", + " max_grad_norm=max_grad_norm,\n", + " max_steps=max_steps,\n", + " warmup_ratio=warmup_ratio,\n", + " group_by_length=True,\n", + " lr_scheduler_type=lr_scheduler_type,\n", + " gradient_checkpointing=True,\n", + " )\n", + "\n", + " return dataset, model, peft_config, tokenizer, training_arguments\n", + "\n", + "def prepare_dataloader(dataset, batch_size):\n", + " return DataLoader(\n", + " dataset,\n", + " batch_size=batch_size,\n", + " pin_memory=True,\n", + " shuffle=False,\n", + " sampler=DistributedSampler(dataset),\n", + " )\n", + "\n", + "def main(rank, world_size, save_every, total_epochs, batch_size):\n", + " ddp_setup(rank, world_size)\n", + " dataset, model, peft_config, tokenizer, training_arguments = load_train_objs()\n", + " train_data = prepare_dataloader(dataset, batch_size)\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " train_dataset=dataset,\n", + " peft_config=peft_config,\n", + " dataset_text_field=\"context\",\n", + " max_seq_length=max_seq_length,\n", + " tokenizer=tokenizer,\n", + " args=training_arguments,\n", + " )\n", + " trainer = Trainer(model, train_data, optimizer=trainer.optimizer, gpu_id=rank, save_every=save_every)\n", + " trainer.train(total_epochs)\n", + " destroy_process_group()\n", + "\n", + "TOTAL_EPOCHS = 10\n", + "SAVE_EVERY = 2\n", + "BATCH_SIZE = 32\n", + "\n", + "if __name__ == \"__main__\":\n", + " world_size = torch.cuda.device_count()\n", + " mp.set_start_method(\"spawn\", force=True) # Add this line\n", + " mp.spawn(main, args=(world_size, SAVE_EVERY, TOTAL_EPOCHS, BATCH_SIZE), nprocs=world_size)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import torch.nn.functional as F\n", + "from torch.utils.data import Dataset, DataLoader\n", + "import torch.multiprocessing as mp\n", + "from torch.utils.data.distributed import DistributedSampler\n", + "from torch.nn.parallel import DistributedDataParallel as DDP\n", + "from torch.distributed import init_process_group, destroy_process_group\n", + "import os\n", + "import argparse\n", + "from datasets import load_dataset\n", + "from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig, AutoTokenizer\n", + "from peft import LoraConfig\n", + "from trl import SFTTrainer\n", + "from transformers import TrainingArguments\n", + "def ddp_setup(rank, world_size):\n", + " \"\"\"\n", + " Args:\n", + " rank: Unique identifier of each process\n", + " world_size: Total number of processes\n", + " \"\"\"\n", + " os.environ[\"MASTER_ADDR\"] = \"localhost\"\n", + " os.environ[\"MASTER_PORT\"] = \"12355\"\n", + " init_process_group(backend=\"nccl\", rank=rank, world_size=world_size)\n", + " torch.cuda.set_device(rank)\n", + "\n", + "class Trainer:\n", + " def __init__(self, model, train_data, optimizer, gpu_id, save_every):\n", + " self.gpu_id = gpu_id\n", + " self.model = model.to(gpu_id)\n", + " self.train_data = train_data\n", + " self.optimizer = optimizer\n", + " self.save_every = save_every\n", + " self.model = DDP(model, device_ids=[gpu_id])\n", + "\n", + " def _run_batch(self, source, targets):\n", + " self.optimizer.zero_grad()\n", + " output = self.model(source)\n", + " loss = F.cross_entropy(output, targets)\n", + " loss.backward()\n", + " self.optimizer.step()\n", + "\n", + " def _run_epoch(self, epoch):\n", + " b_sz = len(next(iter(self.train_data))[0])\n", + " print(f\"[GPU{self.gpu_id}] Epoch {epoch} | Batchsize: {b_sz} | Steps: {len(self.train_data)}\")\n", + " self.train_data.sampler.set_epoch(epoch)\n", + " for source, targets in self.train_data:\n", + " source = source.to(self.gpu_id)\n", + " targets = targets.to(self.gpu_id)\n", + " self._run_batch(source, targets)\n", + "\n", + " def _save_checkpoint(self, epoch):\n", + " ckp = self.model.module.statt()\n", + " PATH = \"checkpoint.pt\"\n", + " torch.save(ckp, PATH)\n", + " print(f\"Epoch {epoch} | Training checkpoint saved at {PATH}\")\n", + "\n", + " def train(self, max_epochs):\n", + " for epoch in range(max_epochs):\n", + " self._run_epoch(epoch)\n", + " if self.gpu_id == 0 and epoch % self.save_every == 0:\n", + " self._save_checkpoint(epoch)\n", + "\n", + "def load_train_objs():\n", + " dataset_name = \"ruslanmv/ai-medical-dataset\"\n", + " dataset = load_dataset(dataset_name, split=\"train\")\n", + " dataset = dataset.select(range(100))\n", + "\n", + " model_name = \"meta-llama/Meta-Llama-3-8B-Instruct\"\n", + " tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)\n", + " tokenizer.pad_token = tokenizer.eos_token\n", + "\n", + " bnb_config = BitsAndBytesConfig(\n", + " load_in_4bit=True,\n", + " bnb_4bit_quant_type=\"nf4\",\n", + " bnb_4bit_compute_dtype=torch.float16,\n", + " )\n", + " model = AutoModelForCausalLM.from_pretrained(\n", + " model_name,\n", + " quantization_config=bnb_config,\n", + " trust_remote_code=True,\n", + " use_cache=False,\n", + " device_map=\"auto\",\n", + " )\n", + "\n", + " lora_alpha = 16\n", + " lora_dropout = 0.1\n", + " lora_r = 32\n", + " peft_config = LoraConfig(\n", + " lora_alpha=lora_alpha,\n", + " lora_dropout=lora_dropout,\n", + " r=lora_r,\n", + " bias=\"none\",\n", + " task_type=\"CAUSAL_LM\",\n", + " target_modules=[\"k_proj\", \"q_proj\", \"v_proj\", \"up_proj\", \"down_proj\", \"gate_proj\"],\n", + " modules_to_save=[\"embed_tokens\", \"input_layernorm\", \"post_attention_layernorm\", \"norm\"],\n", + " )\n", + "\n", + " max_seq_length = 512\n", + " output_dir = \"./results\"\n", + " per_device_train_batch_size = 2\n", + " gradient_accumulation_steps = 2\n", + " optim = \"adamw_torch\"\n", + " save_steps = 10\n", + " logging_steps = 1\n", + " learning_rate = 2e-4\n", + " max_grad_norm = 0.3\n", + " max_steps = 1\n", + " warmup_ratio = 0.1\n", + " lr_scheduler_type = \"cosine\"\n", + "\n", + " training_arguments = TrainingArguments(\n", + " output_dir=output_dir,\n", + " per_device_train_batch_size=per_device_train_batch_size,\n", + " gradient_accumulation_steps=gradient_accumulation_steps,\n", + " optim=optim,\n", + " save_steps=save_steps,\n", + " logging_steps=logging_steps,\n", + " learning_rate=learning_rate,\n", + " fp16=True,\n", + " max_grad_norm=max_grad_norm,\n", + " max_steps=max_steps,\n", + " warmup_ratio=warmup_ratio,\n", + " group_by_length=True,\n", + " lr_scheduler_type=lr_scheduler_type,\n", + " gradient_checkpointing=True,\n", + " )\n", + "\n", + " return dataset, model, peft_config, tokenizer, training_arguments\n", + "\n", + "def prepare_dataloader(dataset, batch_size):\n", + " return DataLoader(\n", + " dataset,\n", + " batch_size=batch_size,\n", + " pin_memory=True,\n", + " shuffle=False,\n", + " sampler=DistributedSampler(dataset),\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "import torch.multiprocessing as mp\n", + "\n", + "def main(rank, world_size):\n", + " # Define the parameters as constants\n", + " TOTAL_EPOCHS = 10\n", + " SAVE_EVERY = 2\n", + " BATCH_SIZE = 32\n", + " torch.cuda.init()\n", + " ddp_setup(rank, world_size) \n", + " dataset, model, peft_config, tokenizer, training_arguments = load_train_objs()\n", + " train_data = prepare_dataloader(dataset, BATCH_SIZE) # Corrected batch_size variable\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " train_dataset=dataset,\n", + " peft_config=peft_config,\n", + " dataset_text_field=\"context\",\n", + " max_seq_length=max_seq_length,\n", + " tokenizer=tokenizer,\n", + " args=training_arguments,\n", + " )\n", + " trainer = Trainer(model, train_data, optimizer=trainer.optimizer, gpu_id=rank, save_every=SAVE_EVERY)\n", + " trainer.train(TOTAL_EPOCHS)\n", + " destroy_process_group()\n", + "\n", + "if __name__ == \"__main__\":\n", + " mp.set_start_method('spawn') # Set start method to 'spawn'\n", + " world_size = torch.cuda.device_count()\n", + "\n", + " # Workaround for Jupyter Notebook and interactive environments\n", + " processes = []\n", + " for rank in range(world_size):\n", + " p = mp.Process(target=main, args=(rank, world_size))\n", + " p.start()\n", + " processes.append(p)\n", + "\n", + " for p in processes:\n", + " p.join()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import torch\n", + "from transformers import AutoModelForCausalLM, AutoTokenizer\n", + "from datasets import load_dataset\n", + "from trl import SFTTrainer\n", + "from transformers import TrainingArguments\n", + "import os\n", + "import socket\n", + "\n", + "# Distributed training setup (assuming all GPUs are available on a single machine)\n", + "def init_distributed(rank, world_size):\n", + " \"\"\"Initializes distributed training using `nccl` backend.\"\"\"\n", + " if rank == 0:\n", + " os.environ[\"MASTER_ADDR\"] = socket.gethostname() # Set MASTER_ADDR using rank 0's hostname\n", + " else:\n", + " # Wait a bit to ensure MASTER_ADDR is set before other ranks try to use it\n", + " import time\n", + " time.sleep(5)\n", + " os.environ[\"MASTER_PORT\"] = \"12345\" # Set MASTER_PORT environment variable\n", + " os.environ[\"RANK\"] = str(rank) # Set RANK environment variable\n", + " os.environ[\"WORLD_SIZE\"] = str(world_size) # Set WORLD_SIZE environment variable\n", + " torch.distributed.init_process_group(backend='nccl', init_method='env://')\n", + "\n", + "# Cleanup after training\n", + "def cleanup_distributed():\n", + " if torch.distributed.is_initialized():\n", + " torch.distributed.destroy_process_group()\n", + "\n", + "# Model and tokenizer selection\n", + "model_name = \"facebook/bart-base\" # Replace with your desired model\n", + "tokenizer = AutoTokenizer.from_pretrained(model_name)\n", + "model = AutoModelForCausalLM.from_pretrained(model_name)\n", + "\n", + "# Dataset loading (replace with your dataset and field names)\n", + "dataset = load_dataset(\"glue\", \"mnli\", split=\"train\")\n", + "text_field = \"premise\" # Assuming premise is the field containing text for prediction\n", + "\n", + "# Training arguments (adjust hyperparameters as needed)\n", + "training_args = TrainingArguments(\n", + " output_dir=\"./results\",\n", + " per_device_train_batch_size=2, # Adjust based on GPU memory (might need to adjust)\n", + " save_steps=500,\n", + " save_total_limit=2,\n", + " num_train_epochs=3, # Adjust training time as needed\n", + ")\n", + "\n", + "world_size = torch.cuda.device_count()\n", + "if world_size > 1:\n", + " # Initialize distributed training\n", + " init_distributed(rank=0, world_size=world_size) # Rank is assumed to be 0 here\n", + "\n", + " # Wrap model in DDP for distributed training\n", + " model = torch.nn.parallel.DistributedDataParallel(model, device_ids=[torch.cuda.current_device()])\n", + "\n", + " # Create SFTTrainer with distributed settings\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " args=training_args, # Pass training_args as 'args' instead of 'training_args'\n", + " train_dataset=dataset,\n", + " dataset_text_field=text_field,\n", + " compute_metrics=None, # You can define your custom metrics here\n", + " )\n", + " print(\"Trainer For distributed training loaded\")\n", + "else:\n", + " # For single-GPU training\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " args=training_args, # Pass training_args as 'args' instead of 'training_args'\n", + " train_dataset=dataset,\n", + " dataset_text_field=text_field,\n", + " compute_metrics=None, # You can define your custom metrics here\n", + " )\n", + " print(\"Trainer For single-GPU loaded\")\n", + "\n", + "# Start training\n", + "trainer.train()\n", + "\n", + "# Cleanup after training\n", + "cleanup_distributed()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import torch\n", + "import torch.multiprocessing as mp\n", + "from datasets import load_dataset\n", + "import torch\n", + "from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig, AutoTokenizer\n", + "from peft import LoraConfig\n", + "from trl import SFTTrainer\n", + "from transformers import TrainingArguments\n", + "from torch.nn.parallel import DistributedDataParallel as DDP\n", + "\n", + "\n", + "# Distributed training setup\n", + "def init_distributed():\n", + " os.environ[\"MASTER_ADDR\"] = \"localhost\"\n", + " os.environ[\"MASTER_PORT\"] = \"12345\"\n", + " torch.distributed.init_process_group(backend='nccl', world_size=torch.cuda.device_count(), rank=rank)\n", + "\n", + "def cleanup_distributed():\n", + " torch.distributed.destroy_process_group()\n", + "\n", + "def main_worker(rank, world_size):\n", + " init_distributed()\n", + "\n", + " # Your model training and fine-tuning code goes here\n", + " # Load the dataset\n", + " dataset_name = \"ruslanmv/ai-medical-dataset\"\n", + " dataset = load_dataset(dataset_name, split=\"train\")\n", + " # Select the first 1M rows of the dataset\n", + " dataset = dataset.select(range(100))\n", + "\n", + " # Load the model + tokenizer\n", + " model_name = \"meta-llama/Meta-Llama-3-8B-Instruct\"\n", + " tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)\n", + " tokenizer.pad_token = tokenizer.eos_token\n", + " bnb_config = BitsAndBytesConfig(\n", + " load_in_4bit=True,\n", + " bnb_4bit_quant_type=\"nf4\",\n", + " bnb_4bit_compute_dtype=torch.float16,\n", + " )\n", + " model = AutoModelForCausalLM.from_pretrained(\n", + " model_name,\n", + " quantization_config=bnb_config,\n", + " trust_remote_code=True,\n", + " use_cache=False,\n", + " )\n", + "\n", + " # Check for available GPUs\n", + " device = torch.device(f\"cuda:{rank}\" if torch.cuda.is_available() else \"cpu\")\n", + "\n", + " # PEFT config\n", + " lora_alpha = 1\n", + " lora_dropout = 0.1\n", + " lora_r = 32 # 64\n", + " peft_config = LoraConfig(\n", + " lora_alpha=lora_alpha,\n", + " lora_dropout=lora_dropout,\n", + " task_type=\"CAUSAL_LM\",\n", + " target_modules=[\"k_proj\", \"q_proj\", \"v_proj\", \"up_proj\", \"down_proj\", \"gate_proj\"],\n", + " modules_to_save=[\"embed_tokens\", \"input_layernorm\", \"post_attention_layernorm\", \"norm\"],\n", + " )\n", + "\n", + " # Args\n", + " max_seq_length = 512\n", + " output_dir = \"./results\"\n", + " per_device_train_batch_size = 2 # reduced batch size to avoid OOM\n", + " gradient_accumulation_steps = 2\n", + " optim = \"adamw_torch\"\n", + " save_steps = 10\n", + " logging_steps = 1\n", + " learning_rate = 2e-4\n", + " max_grad_norm = 0.3\n", + " max_steps = 1 # 300 Approx the size of guanaco at bs 8, ga 2, 2 GPUs.\n", + " warmup_ratio = 0.1\n", + " lr_scheduler_type = \"cosine\"\n", + " training_arguments = TrainingArguments(\n", + " output_dir=output_dir,\n", + " per_device_train_batch_size=per_device_train_batch_size,\n", + " gradient_accumulation_steps=gradient_accumulation_steps,\n", + " optim=optim,\n", + " save_steps=save_steps,\n", + " logging_steps=logging_steps,\n", + " learning_rate=learning_rate,\n", + " fp16=True,\n", + " max_grad_norm=max_grad_norm,\n", + " max_steps=max_steps,\n", + " warmup_ratio=warmup_ratio,\n", + " group_by_length=True,\n", + " lr_scheduler_type=lr_scheduler_type,\n", + " gradient_checkpointing=True, # gradient checkpointing\n", + " #report_to=\"wandb\",\n", + " )\n", + "\n", + " # Trainer\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " train_dataset=dataset,\n", + " peft_config=peft_config,\n", + " dataset_text_field=\"context\",\n", + " max_seq_length=max_seq_length,\n", + " tokenizer=tokenizer,\n", + " args=training_arguments,\n", + " )\n", + "\n", + " # Train :)\n", + " trainer.train()\n", + " cleanup_distributed()\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " world_size = torch.cuda.device_count()\n", + " mp.set_start_method('spawn') # Add this line to fix the error\n", + " processes = []\n", + " for rank in range(world_size):\n", + " p = mp.Process(target=main_worker, args=(rank, world_size))\n", + " p.start()\n", + " processes.append(p)\n", + " for p in processes:\n", + " p.join()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def finetune():\n", + " from datasets import load_dataset\n", + " import torch\n", + " from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig, AutoTokenizer\n", + " from peft import LoraConfig\n", + " from trl import SFTTrainer\n", + " from transformers import TrainingArguments\n", + " from torch.nn.parallel import DistributedDataParallel as DDP\n", + " # Load the dataset\n", + " dataset_name = \"ruslanmv/ai-medical-dataset\"\n", + " dataset = load_dataset(dataset_name, split=\"train\")\n", + " # Select the first 1M rows of the dataset\n", + " dataset = dataset.select(range(100))\n", + " # Load the model + tokenizer\n", + " model_name = \"meta-llama/Meta-Llama-3-8B-Instruct\"\n", + " tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)\n", + " tokenizer.pad_token = tokenizer.eos_token\n", + " bnb_config = BitsAndBytesConfig(\n", + " load_in_4bit=True,\n", + " bnb_4bit_quant_type=\"nf4\",\n", + " bnb_4bit_compute_dtype=torch.float16,\n", + " )\n", + " model = AutoModelForCausalLM.from_pretrained(\n", + " model_name,\n", + " quantization_config=bnb_config,\n", + " trust_remote_code=True,\n", + " use_cache=False,\n", + " )\n", + " # Check for available GPUs\n", + " if torch.cuda.device_count() > 1:\n", + " print(\"Multiple GPUs detected, enabling DataParallel...\")\n", + " model = DDP(model) # Wrap the model with DDP\n", + " else:\n", + " print(\"Using single GPU...\")\n", + " # PEFT config\n", + " lora_alpha = 16\n", + " lora_dropout = 0.1\n", + " lora_r = 32 # 64\n", + " peft_config = LoraConfig(\n", + " lora_alpha=lora_alpha,\n", + " lora_dropout=lora_dropout,\n", + " r=lora_r,\n", + " bias=\"none\",\n", + " task_type=\"CAUSAL_LM\",\n", + " target_modules=[\"k_proj\", \"q_proj\", \"v_proj\", \"up_proj\", \"down_proj\", \"gate_proj\"],\n", + " modules_to_save=[\"embed_tokens\", \"input_layernorm\", \"post_attention_layernorm\", \"norm\"],\n", + " )\n", + " # Args\n", + " max_seq_length = 512\n", + " output_dir = \"./results\"\n", + " per_device_train_batch_size = 2 # reduced batch size to avoid OOM\n", + " gradient_accumulation_steps = 2\n", + " optim = \"adamw_torch\"\n", + " save_steps = 10\n", + " logging_steps = 1\n", + " learning_rate = 2e-4\n", + " max_grad_norm = 0.3\n", + " max_steps = 1 # 300 Approx the size of guanaco at bs 8, ga 2, 2 GPUs.\n", + " warmup_ratio = 0.1\n", + " lr_scheduler_type = \"cosine\"\n", + "\n", + " training_arguments = TrainingArguments(\n", + " output_dir=output_dir,\n", + " per_device_train_batch_size=per_device_train_batch_size,\n", + " gradient_accumulation_steps=gradient_accumulation_steps,\n", + " optim=optim,\n", + " save_steps=save_steps,\n", + " logging_steps=logging_steps,\n", + " learning_rate=learning_rate,\n", + " fp16=True,\n", + " max_grad_norm=max_grad_norm,\n", + " max_steps=max_steps,\n", + " warmup_ratio=warmup_ratio,\n", + " group_by_length=True,\n", + " lr_scheduler_type=lr_scheduler_type,\n", + " gradient_checkpointing=True, # gradient checkpointing\n", + " #report_to=\"wandb\",\n", + " )\n", + " # Trainer\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " train_dataset=dataset,\n", + " peft_config=peft_config,\n", + " dataset_text_field=\"context\",\n", + " max_seq_length=max_seq_length,\n", + " tokenizer=tokenizer,\n", + " args=training_arguments,\n", + " )\n", + " # Train :)\n", + " trainer.train()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import torch\n", + "import torch.multiprocessing as mp\n", + "\n", + "def init_distributed(rank, world_size, local_rank=0): # Add local_rank argument\n", + " os.environ[\"MASTER_ADDR\"] = \"localhost\"\n", + " os.environ[\"MASTER_PORT\"] = \"12345\" # Adjust port if needed\n", + " if rank == 0:\n", + " print(\"Initializing distributed process group...\")\n", + " torch.distributed.init_process_group(backend='nccl', world_size=world_size, rank=rank)\n", + " torch.cuda.set_device(local_rank) # Set unique GPU device for each process\n", + "\n", + "def cleanup_distributed():\n", + " torch.distributed.destroy_process_group()\n", + "\n", + "def main_worker(rank, world_size):\n", + " local_rank = rank % torch.cuda.device_count() # Assign unique local rank\n", + " init_distributed(rank, world_size, local_rank)\n", + " # Your model training and fine-tuning code goes here with model on local_rank GPU\n", + " finetune() # Move model to assigned GPU\n", + " cleanup_distributed()\n", + "if __name__ == \"__main__\":\n", + " world_size = torch.cuda.device_count()\n", + "\n", + " # Workaround for Jupyter Notebook and interactive environments\n", + " processes = []\n", + " for rank in range(world_size):\n", + " p = mp.Process(target=main_worker, args=(rank, world_size))\n", + " p.start()\n", + " processes.append(p)\n", + "\n", + " for p in processes:\n", + " p.join()\n" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/ai-medical-chatbot-master/6-FineTunning/Parallel-FineTuning.ipynb b/ai-medical-chatbot-master/6-FineTunning/Parallel-FineTuning.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..7e2e8c2b18b65cb3472e1a199d668f558e60440b --- /dev/null +++ b/ai-medical-chatbot-master/6-FineTunning/Parallel-FineTuning.ipynb @@ -0,0 +1,136 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "import os\n", + "import torch\n", + "import torch.multiprocessing as mp\n", + "from torch.nn.parallel import DistributedDataParallel as DDP\n", + "from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig, AutoTokenizer, TrainingArguments\n", + "from datasets import load_dataset\n", + "from trl import SFTTrainer\n", + "from peft import LoraConfig\n", + "\n", + "def init_distributed(rank, world_size):\n", + " os.environ[\"MASTER_ADDR\"] = \"localhost\"\n", + " os.environ[\"MASTER_PORT\"] = \"12345\"\n", + " if rank == 0:\n", + " print(\"Initializing distributed process group...\")\n", + " torch.distributed.init_process_group(backend='nccl', world_size=world_size, rank=rank)\n", + "\n", + "def cleanup_distributed():\n", + " torch.distributed.destroy_process_group()\n", + "\n", + "def main_worker(rank, world_size):\n", + " init_distributed(rank, world_size)\n", + "\n", + " # Move the finetune() function here\n", + " # Load the dataset\n", + " dataset_name = \"ruslanmv/ai-medical-dataset\"\n", + " dataset = load_dataset(dataset_name, split=\"train\")\n", + " # Select the first 1M rows of the dataset\n", + " dataset = dataset.select(range(100))\n", + " # Load the model + tokenizer\n", + " model_name = \"meta-llama/Meta-Llama-3-8B-Instruct\"\n", + " tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)\n", + " tokenizer.pad_token = tokenizer.eos_token\n", + " bnb_config = BitsAndBytesConfig(\n", + " load_in_4bit=True,\n", + " bnb_4bit_quant_type=\"nf4\",\n", + " bnb_4bit_compute_dtype=torch.float16,\n", + " )\n", + " model = AutoModelForCausalLM.from_pretrained(\n", + " model_name,\n", + " quantization_config=bnb_config,\n", + " trust_remote_code=True,\n", + " use_cache=False,\n", + " )\n", + " # Replace the DDP wrapping part with the following lines\n", + " model = model.to(rank)\n", + " model = DDP(model, device_ids=[rank], output_device=rank)\n", + "\n", + " # PEFT config\n", + " lora_alpha = 16\n", + " lora_dropout = 0.1\n", + " lora_r = 32 # 64\n", + " peft_config = LoraConfig(\n", + " lora_alpha=lora_alpha,\n", + " lora_dropout=lora_dropout,\n", + " r=lora_r,\n", + " bias=\"none\",\n", + " task_type=\"CAUSAL_LM\",\n", + " target_modules=[\"k_proj\", \"q_proj\", \"v_proj\", \"up_proj\", \"down_proj\", \"gate_proj\"],\n", + " modules_to_save=[\"embed_tokens\", \"input_layernorm\", \"post_attention_layernorm\", \"norm\"],\n", + " )\n", + " # Args\n", + " max_seq_length = 512\n", + " output_dir = \"./results\"\n", + " per_device_train_batch_size = 2 # reduced batch size to avoid OOM\n", + " gradient_accumulation_steps = 2\n", + " optim = \"adamw_torch\"\n", + " save_steps = 10\n", + " logging_steps = 1\n", + " learning_rate = 2e-4\n", + " max_grad_norm = 0.3\n", + " max_steps = 1 # 300 Approx the size of guanaco at bs 8, ga 2, 2 GPUs.\n", + " warmup_ratio = 0.1\n", + " lr_scheduler_type = \"cosine\"\n", + "\n", + " training_arguments = TrainingArguments(\n", + " output_dir=output_dir,\n", + " per_device_train_batch_size=per_device_train_batch_size,\n", + " gradient_accumulation_steps=gradient_accumulation_steps,\n", + " optim=optim,\n", + " save_steps=save_steps,\n", + " logging_steps=logging_steps,\n", + " learning_rate=learning_rate,\n", + " fp16=True,\n", + " max_grad_norm=max_grad_norm,\n", + " max_steps=max_steps,\n", + " warmup_ratio=warmup_ratio,\n", + " group_by_length=True,\n", + " lr_scheduler_type=lr_scheduler_type,\n", + " gradient_checkpointing=True, # gradient checkpointing\n", + " report_to=\"wandb\",\n", + " )\n", + " # Trainer\n", + " trainer = SFTTrainer(\n", + " model=model,\n", + " train_dataset=dataset,\n", + " peft_config=peft_config,\n", + " dataset_text_field=\"context\",\n", + " max_seq_length=max_seq_length,\n", + " tokenizer=tokenizer,\n", + " args=training_arguments,\n", + " )\n", + " # Train :)\n", + " trainer.train()\n", + " cleanup_distributed()\n", + "\n", + "if __name__ == \"__main__\":\n", + " world_size = torch.cuda.device_count()\n", + "\n", + " processes = []\n", + " for rank in range(world_size):\n", + " p = mp.Process(target=main_worker, args=(rank, world_size))\n", + " p.start()\n", + " processes.append(p)\n", + "\n", + " for p in processes:\n", + " p.join()\n" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/ai-medical-chatbot-master/6-FineTunning/README.md b/ai-medical-chatbot-master/6-FineTunning/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/ai-medical-chatbot-master/7-Multimodal/README.md b/ai-medical-chatbot-master/7-Multimodal/README.md new file mode 100644 index 0000000000000000000000000000000000000000..c265f463953d2ca23742055f832a9d1def1bb7fb --- /dev/null +++ b/ai-medical-chatbot-master/7-Multimodal/README.md @@ -0,0 +1,81 @@ +# Multimodal Medical Chatbot +We are interested to build a medical chatbot that having a picture we can give you symptoms and solutions. + +First wer need to build our dataset. + + + + +# Medical-Images Datasets + +* A list of Medical imaging datasets. Source : https://sites.google.com/site/aacruzr/image-datasets +* An additional, possibly overlapping list can be found at : https://github.com/beamandrew/medical-data + +### Multimodal databases + +* Center for Invivo Microscopy (CIVM), Embrionic and Neonatal Mouse (H&E, MR) http://www.civm.duhs.duke.edu/devatlas/ +user guide: http://www.civm.duhs.duke.edu/devatlas/UserGuide.pdf +* LONI image data archive https://ida.loni.usc.edu/services/Menu/IdaData.jsp?project= +* Radiology (Ultrasound, Mammographs, X-Ray, CT, MRI, fMRI, etc.) +* Collaborative Informatics and Neuroimaging Suite (COINS) https://portal.mrn.org/micis/index.php?subsite=dx +* The Cancer Imaging Archive (TCIA) http://www.cancerimagingarchive.net/ (Collections) +* Alzheimer’s Disease Neuroimaging Initiative (ADNI) http://adni.loni.ucla.edu/ +* The Open Access Series of Imaging Studies (OASIS) http://www.oasis-brains.org/ +* Breast Cancer Digital Repository https://bcdr.eu/ +* DDSM: Digital Database for Screening Mammography http://marathon.csee.usf.edu/Mammography/Database.html +* The Mammographic Image Analysis Society (MIAS) mini-database http://peipa.essex.ac.uk/info/mias.html +* Mammography Image Databases 100 or more images of mammograms with ground truth. Additional images available by request, and links to several other mammography databases are provided http://marathon.csee.usf.edu/Mammography/Database.html +* NLM HyperDoc Visible Human Project color, CAT and MRI image samples - over 30 images http://www.nlm.nih.gov/research/visible/visible_human.html +* CT Scans for Colon Cancer https://wiki.cancerimagingarchive.net/display/Public/CT+COLONOGRAPHY#e88604ec5c654f60a897fa77906f88a6 +* [[BreastScreening](http://breastscreening.github.io/)] UTA4: Breast Cancer Medical Imaging DICOM Files Dataset & Resources (MG, US and MRI) https://github.com/MIMBCD-UI/dataset-uta4-dicom +* [[MIMBCD-UI](http://mimbcd-ui.github.io/)] UTA7: Breast Cancer Medical Imaging DICOM Files Dataset & Resources (MG, US and MRI) https://github.com/MIMBCD-UI/dataset-uta7-dicom +* [[Facebook AI + NYU FastMRI](https://fastmri.org/dataset/)] includes two types of MRI scans: knee MRIs and the brain (neuro) MRIs, containing training, validation, and masked test sets. Also includes PyTorch data loaders in open-sourced [GitHub Repository](https://github.com/facebookresearch/fastMRI/) +* BCNB: Early Breast Cancer Core-Needle Biopsy WSI Dataset, https://bupt-ai-cz.github.io/BCNB/, https://github.com/bupt-ai-cz/BALNMP#bcnb-dataset + +### Histology and Histopathology (H&E, IHQ, ...) + +* The Cancer Genome Atlas (TCGA) http://cancergenome.nih.gov/ https://tcga-data.nci.nih.gov/tcga/ +* International Cancer Genome Consortium http://icgc.org, (Data portal) http://dcc.icgc.org/ +* Stanford Tissue Microarray Database (TMA) http://tma.im +* MITOS dataset http://www.ipal.cnrs.fr/event/icpr-2012 +* Cancer Image Database (caIMAGE) https://emice.nci.nih.gov/caimage +* DPA’s Whole Slide Imaging Repository https://digitalpathologyassociation.org/whole-slide-imaging-repository +* ITK Analysis of Large Histology Datasets http://www.na-mic.org/Wiki/index.php/ITK_Analysis_of_Large_Histology_Datasets +* Histology Photo Album http://www.histology-world.com/photoalbum/thumbnails.php?album=52 +* Slide Library of Virtual pathology, University of Leeds http://www.virtualpathology.leeds.ac.uk/ +* Aperio Images http://images.aperio.com/ +* HAPS Histology Image Database http://hapshistology.wikifoundry.com/ +* Microscopy (Cell, Cytology, Biology, Protein, Molecular, Fluorescence, etc.) +* BDGP images from the FlyExpress database www.flyexpress.net +* The UCSB Bio-Segmentation Benchmark dataset http://www.bioimage.ucsb.edu/research/biosegmentation +* Pap Smear database http://mde-lab.aegean.gr/index.php/downloads +* Histology (CIMA) dataset http://cmp.felk.cvut.cz/~borovji3/?page=dataset +* ANHIR dataset https://anhir.grand-challenge.org/ +* Genome RNAi dataset http://www.genomernai.org/ +* Chinese Hamster Ovary cells (CHO) dataset http://www.chogenome.org/data.html +* Locate Endogenus mouse sub-cellular organelles (END) database http://locate.imb.uq.edu.au/ +* 2D HeLa dataset (HeLa) dataset https://ome.grc.nia.nih.gov/iicbu2008/hela/index.html +* Allen Brain Atlas http://www.brain-map.org/ +* 1000 Functional Connectomes Project http://fcon_1000.projects.nitrc.org/ +* The Cell Centered Database (CCDB) https://library.ucsd.edu/dc/collection/bb5940732k +* The Encyclopedia of DNA Elements (ENCODE) http://genome.ucsc.edu/ENCODE/ +user guide: http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001046 +* The Human Protein Atlas: http://www.proteinatlas.org/ +* DRIVE: Digital Retinal Images for Vessel Extraction http://www.isi.uu.nl/Research/Databases/DRIVE/ (Ground truth) +* El Salvador Atlas of Gastrointestinal VideoEndoscopy Images and Videos of hi-res of studies taken from Gastrointestinal Video endoscopy http://www.gastrointestinalatlas.com/ +* BCNB: Early Breast Cancer Core-Needle Biopsy WSI Dataset, https://bupt-ai-cz.github.io/BCNB/, https://github.com/bupt-ai-cz/BALNMP#bcnb-dataset + +### Databases you can use for benchmarking + +* http://peipa.essex.ac.uk/benchmark/databases/ +* http://mulan.sourceforge.net/datasets-mlc.html +* https://archive.ics.uci.edu/ml/datasets.php +* Datasets reporting formats for pathologists http://www.rcpath.org/publications-media/publications/datasets +* DermNet - Skin disease atlas (23 image classes and 23,000 images): http://www.dermnet.com/ + +### State of the art / Challenges + +* Grand Challenges in Medical Image Analysis https://grand-challenge.org/ +* Challenges in global health and development problems https://grandchallenges.org/#/map +* Current state of the art of most used computer vision datasets: Who is the best at X? http://rodrigob.github.io/are_we_there_yet/build/ +* Automatic Non-rigid Histological Image Registration (ANHIR) challenge https://anhir.grand-challenge.org/ \ No newline at end of file diff --git a/ai-medical-chatbot-master/8-Interviewer/README.md b/ai-medical-chatbot-master/8-Interviewer/README.md new file mode 100644 index 0000000000000000000000000000000000000000..d66a15b23c87c2b41d840db9e71ace2e0b8af5b6 --- /dev/null +++ b/ai-medical-chatbot-master/8-Interviewer/README.md @@ -0,0 +1,82 @@ +# Medical Interviewer +![](assets/2024-09-08-19-33-27.png) + +Medical Interviewer is an AI platform designed to simulate medical interviews based on psychological and medical knowledge. This platform is meant for educational, research, and preliminary assessment purposes but should **not** be used as a substitute for professional medical advice. + +## Disclaimer +- This is a simulation tool, and information shared is confidential but **should not** include sensitive data. +- Always seek professional medical advice from qualified healthcare providers. + +## Features +### 1. Simulated Interviews +- Conducts interviews with medically relevant and psychologically informed questions. +- Interviews can be customized by selecting different interviewers with unique backgrounds and approaches: + - **Sarah**: Compassionate experience in trauma and family therapy. + - **Aaron**: Direct and specialized in stress management, trauma, and military-related cases. + +### 2. Natural Language Processing (NLP) +- Uses **LangChain** to create NLP chains that drive the interview and report generation processes. +- Understands user input and generates contextually relevant follow-up questions. + +### 3. Voice Interaction +- Enables voice-based conversation by converting text to speech (TTS) and transcribing user responses using **Whisper** speech-to-text technology. + +### 4. Medical Report Generation +- Automatically generates detailed medical reports based on the interview session. +- Users can download the report in PDF format. + +### 5. Document Upload and Report Generation +- Users can upload TXT, PDF, or DOCX files, and the system will generate a report from the document's content. + +### 6. Multi-Language Support +- Supports interviews and report generation in multiple languages. + +### 7. Retrieval-Augmented Generation (RAG) and Document Retrieval +- Utilizes **RAG** to retrieve relevant data from indexed medical and psychological resources such as DSM-5, PDM-2, Big Five Traits, etc., ensuring contextually accurate interview questions. + +## Usage + +### Start an Interview +1. Choose an interviewer (Sarah or Aaron). +2. Start the interview in either text or voice format. +3. The system will guide you through a series of questions, designed to simulate a medical interview. + +### Upload Documents +1. Navigate to the "Upload Document" tab. +2. Upload your medical document (TXT, PDF, or DOCX). +3. Generate a report based on the content of the document, which will be available for download. + +### Settings +- Customize your experience by enabling or disabling audio interaction. +- Choose between available interviewers, each providing a unique style and focus. + +## Technical Overview +The system uses a combination of: +- **NLP** for question generation and contextual relevance. +- **FAISS Indexing** for document similarity and retrieval of relevant medical knowledge. +- **RAG** to ensure contextually relevant and accurate interview processes. +- **Gradio** for the user interface, allowing text and audio inputs with real-time responses. +- **Whisper** and **TTS** for audio interaction, enabling real-time simulated voice-based interviews. + +## Installation + +To run the application locally: + +1. Clone the repository: + ```bash + git clone https://github.com/ruslanmv/ai-medical-chatbot + cd ./ai-medical-chatbot/8-Interviewer/hf + ``` + +2. Install the dependencies: + ```bash + pip install -r requirements.txt + ``` + +3. Launch the application: + ```bash + python app.py + ``` + +## License +This project is licensed under the MIT License. See the [LICENSE](../LICENSE.txt) file for more details. diff --git a/ai-medical-chatbot-master/8-Interviewer/assets/2024-09-08-19-33-27.png b/ai-medical-chatbot-master/8-Interviewer/assets/2024-09-08-19-33-27.png new file mode 100644 index 0000000000000000000000000000000000000000..01ab6378fbee94e9b0e04d17daf8cf4fb95f076c Binary files /dev/null and b/ai-medical-chatbot-master/8-Interviewer/assets/2024-09-08-19-33-27.png differ diff --git a/ai-medical-chatbot-master/8-Interviewer/hf/.gitattributes b/ai-medical-chatbot-master/8-Interviewer/hf/.gitattributes new file mode 100644 index 0000000000000000000000000000000000000000..a6344aac8c09253b3b630fb776ae94478aa0275b --- /dev/null +++ b/ai-medical-chatbot-master/8-Interviewer/hf/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/ai-medical-chatbot-master/8-Interviewer/hf/README.md b/ai-medical-chatbot-master/8-Interviewer/hf/README.md new file mode 100644 index 0000000000000000000000000000000000000000..8be76cbd3eb80a4ba14def723e2f492655bfcf49 --- /dev/null +++ b/ai-medical-chatbot-master/8-Interviewer/hf/README.md @@ -0,0 +1,12 @@ +--- +title: Medical Interviewer +emoji: 👩‍🦳 +colorFrom: pink +colorTo: yellow +sdk: gradio +sdk_version: 4.41.0 +app_file: app.py +pinned: false +--- + +Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference diff --git a/ai-medical-chatbot-master/8-Interviewer/hf/ai_config.py b/ai-medical-chatbot-master/8-Interviewer/hf/ai_config.py new file mode 100644 index 0000000000000000000000000000000000000000..0af4e1fc2badf7e6b1762f816815f58468e62516 --- /dev/null +++ b/ai-medical-chatbot-master/8-Interviewer/hf/ai_config.py @@ -0,0 +1,69 @@ +from io import BytesIO + +from langchain_openai import ChatOpenAI +from openai import OpenAI +import tiktoken +import os +from dotenv import load_dotenv +import os +# Load environment variables from .env file +load_dotenv() + +# IBM Connection Parameters (using loaded env variables) +openai_api_key = os.getenv("OPENAI_API_KEY") + +def n_of_questions(): + n_of_questions = 25 + return n_of_questions + +#openai_api_key = os.environ.get("openai_api_key") + +model = "gpt-4o-mini" + +def load_model(openai_api_key): + return ChatOpenAI( + model_name=model, + openai_api_key=openai_api_key, + temperature=0.5 + ) + +# Initialize the OpenAI client with the API key +client = OpenAI(api_key=openai_api_key) + + +def convert_text_to_speech(text, output, voice): + try: + # Convert the final text to speech + response = client.audio.speech.create(model="tts-1-hd", voice=voice, input=text) + + if isinstance(output, BytesIO): + # If output is a BytesIO object, write directly to it + for chunk in response.iter_bytes(): + output.write(chunk) + else: + # If output is a file path, open and write to it + with open(output, 'wb') as f: + for chunk in response.iter_bytes(): + f.write(chunk) + + except Exception as e: + print(f"An error occurred: {e}") + # Fallback in case of error + response = client.audio.speech.create(model="tts-1-hd", voice=voice, input='Here is my Report.') + + if isinstance(output, BytesIO): + for chunk in response.iter_bytes(): + output.write(chunk) + else: + with open(output, 'wb') as f: + for chunk in response.iter_bytes(): + f.write(chunk) + + +def transcribe_audio(audio): + audio_file = open(audio, "rb") + transcription = client.audio.transcriptions.create( + model="whisper-1", + file=audio_file + ) + return transcription.text \ No newline at end of file diff --git a/ai-medical-chatbot-master/8-Interviewer/hf/app.py b/ai-medical-chatbot-master/8-Interviewer/hf/app.py new file mode 100644 index 0000000000000000000000000000000000000000..041b384c8c73da8e56e4c28a8d5f4e6acf2e507f --- /dev/null +++ b/ai-medical-chatbot-master/8-Interviewer/hf/app.py @@ -0,0 +1,232 @@ +import gradio as gr +import tempfile +import os +from pathlib import Path +from io import BytesIO +from settings import ( + respond, + generate_random_string, + reset_interview, + generate_interview_report, + generate_report_from_file, + interview_history, + question_count, + language, +) +from ai_config import convert_text_to_speech, transcribe_audio, n_of_questions +from prompt_instructions import get_interview_initial_message_sarah, get_interview_initial_message_aaron + +# Global variables +temp_audio_files = [] +initial_audio_path = None +selected_interviewer = "Sarah" +audio_enabled = True + +def reset_interview_action(voice): + global question_count, interview_history, selected_interviewer + selected_interviewer = voice + question_count = 0 + interview_history.clear() + + if voice == "Sarah": + initial_message = get_interview_initial_message_sarah() + voice_setting = "alloy" + else: + initial_message = get_interview_initial_message_aaron() + voice_setting = "onyx" + + initial_message = str(initial_message) + + initial_audio_buffer = BytesIO() + convert_text_to_speech(initial_message, initial_audio_buffer, voice_setting) + initial_audio_buffer.seek(0) + + with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_file: + temp_audio_path = temp_file.name + temp_file.write(initial_audio_buffer.getvalue()) + + temp_audio_files.append(temp_audio_path) + + return ( + [(None, initial_message[0] if isinstance(initial_message, tuple) else initial_message)], + gr.Audio(value=temp_audio_path, label=voice, autoplay=True, visible=False), + gr.Textbox(value="") + ) + +def create_app(): + global initial_audio_path, selected_interviewer, audio_enabled + # Initialize without any message history + initial_message = "" + + with gr.Blocks(title="AI Medical Interviewer") as demo: + gr.Image(value="appendix/icon.jpeg", label='icon', width=20, scale=1, show_label=False, show_fullscreen_button=False, + show_download_button=False, show_share_button=False) + gr.Markdown( + """ + # Medical Interviewer + This chatbot conducts medical interviews based on medical knowledge. + The interviewer will prepare a medical report based on the interview. + """ + ) + + with gr.Tab("Interview"): + with gr.Row(): + reset_button = gr.Button("Start Interview", size='sm', scale=1) + end_button = gr.Button("End Interview", size='sm', scale=1) # Added End Interview button + audio_output = gr.Audio( + label="Sarah", + scale=3, + autoplay=True, + visible=False, # Hides the audio but keeps it active + show_download_button=False, + ) + + # Chatbot initialized with no messages + chatbot = gr.Chatbot(value=[], label=f"Medical Interview📋") + with gr.Row(): + msg = gr.Textbox(label="Type your message here...", scale=3) + audio_input = gr.Audio(sources=(["microphone"]), label="Record your message", type="filepath", scale=1) + send_button = gr.Button("Send") + pdf_output = gr.File(label="Download Report", visible=False) + + def user(user_message, audio, history): + if audio is not None: + user_message = transcribe_audio(audio) + return "", None, history + [[user_message, None]] + + def bot_response(chatbot, message): + global question_count, temp_audio_files, selected_interviewer, audio_enabled + question_count += 1 + + last_user_message = chatbot[-1][0] if chatbot else message + + voice = "alloy" if selected_interviewer == "Sarah" else "onyx" + response, audio_buffer = respond(chatbot, last_user_message, voice, selected_interviewer) + + for bot_message in response: + chatbot.append((None, bot_message[1])) + + if isinstance(audio_buffer, BytesIO): + with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_file: + temp_audio_path = temp_file.name + temp_file.write(audio_buffer.getvalue()) + temp_audio_files.append(temp_audio_path) + audio_output = gr.Audio(value=temp_audio_path, label=selected_interviewer, autoplay=audio_enabled, visible=False) + else: + audio_output = gr.Audio(value=audio_buffer, label=selected_interviewer, autoplay=audio_enabled, visible=False) + + if question_count >= n_of_questions(): + conclusion_message = "Thank you for participating in this interview. We have reached the end of our session. I hope this conversation has been helpful. Take care!" + chatbot.append((None, conclusion_message)) + + conclusion_audio_buffer = BytesIO() + convert_text_to_speech(conclusion_message, conclusion_audio_buffer, voice) + conclusion_audio_buffer.seek(0) + + with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_file: + temp_audio_path = temp_file.name + temp_file.write(conclusion_audio_buffer.getvalue()) + temp_audio_files.append(temp_audio_path) + audio_output = gr.Audio(value=temp_audio_path, label=selected_interviewer, autoplay=audio_enabled, visible=False) + + report_content, pdf_path = generate_interview_report(interview_history, language) + chatbot.append((None, f"Interview Report:\n\n{report_content}")) + + return chatbot, audio_output, gr.File(visible=True, value=pdf_path) + + return chatbot, audio_output, gr.File(visible=False) + + # Function to reset and start the interview, which populates the chatbot with the initial message + def start_interview(): + global selected_interviewer + return reset_interview_action(selected_interviewer) + + # Function to end the interview + def end_interview(chatbot): + chatbot.append((None, "The interview has been ended by the user.")) + return chatbot, gr.Audio(visible=False), gr.Textbox(value="") + + # Bind actions to buttons + reset_button.click( + start_interview, + inputs=[], + outputs=[chatbot, audio_output, msg] + ) + + end_button.click( + end_interview, + inputs=[chatbot], + outputs=[chatbot, audio_output, msg] + ) + + msg.submit(user, [msg, audio_input, chatbot], [msg, audio_input, chatbot], queue=False).then( + bot_response, [chatbot, msg], [chatbot, audio_output, pdf_output] + ) + + send_button.click(user, [msg, audio_input, chatbot], [msg, audio_input, chatbot], queue=False).then( + bot_response, [chatbot, msg], [chatbot, audio_output, pdf_output] + ) + + with gr.Tab("Settings"): + gr.Markdown('Configure your settings below:') + audio_toggle = gr.Checkbox(label="Enable Audio", value=True) + interviewer_radio = gr.Radio(["Sarah", "Aaron"], label="Select Interviewer", value="Sarah") + + def update_settings(audio_status, interviewer_choice): + global audio_enabled, selected_interviewer + audio_enabled = audio_status + selected_interviewer = interviewer_choice + return f"Settings updated: Audio {'Enabled' if audio_enabled else 'Disabled'}, Interviewer: {selected_interviewer}" + + settings_button = gr.Button("Apply Settings") + settings_message = gr.Textbox(visible=True) + + settings_button.click( + update_settings, + inputs=[audio_toggle, interviewer_radio], + outputs=[settings_message] + ) + + with gr.Tab("Upload Document"): + gr.Markdown('Please upload a document that contains content written about a patient or by the patient.') + file_input = gr.File(label="Upload a TXT, PDF, or DOCX file") + language_input = 'English' + generate_button = gr.Button("Generate Report") + report_output = gr.Textbox(label="Generated Report", lines=100, visible=False) + pdf_output = gr.File(label="Download Report", visible=True) + + def generate_report_and_pdf(file, language): + report_content, pdf_path = generate_report_from_file(file, language) + return report_content, pdf_path, gr.File(visible=True) + + generate_button.click( + generate_report_and_pdf, + inputs=[file_input], + outputs=[report_output, pdf_output, pdf_output] + ) + + with gr.Tab("Description"): + with open('appendix/description.txt', 'r', encoding='utf-8') as file: + description_txt = file.read() + gr.Markdown(description_txt) + gr.Image(value="appendix/diagram.png", label='diagram', width=700, scale=1, show_label=False) + + return demo + +# Clean up function +def cleanup(): + global temp_audio_files, initial_audio_path + for audio_file in temp_audio_files: + if os.path.exists(audio_file): + os.unlink(audio_file) + temp_audio_files.clear() + + if initial_audio_path and os.path.exists(initial_audio_path): + os.unlink(initial_audio_path) + +if __name__ == "__main__": + app = create_app() + try: + app.launch() + finally: + cleanup() diff --git a/ai-medical-chatbot-master/8-Interviewer/hf/appendix/Psi.png b/ai-medical-chatbot-master/8-Interviewer/hf/appendix/Psi.png new file mode 100644 index 0000000000000000000000000000000000000000..109859731ec1848a9e798b3d9aaa0e5aaf4ffca2 Binary files /dev/null and b/ai-medical-chatbot-master/8-Interviewer/hf/appendix/Psi.png differ diff --git a/ai-medical-chatbot-master/8-Interviewer/hf/appendix/description.txt b/ai-medical-chatbot-master/8-Interviewer/hf/appendix/description.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e7ad1c85041e2d3cb4ecb9feaa4e36f8a381f59 --- /dev/null +++ b/ai-medical-chatbot-master/8-Interviewer/hf/appendix/description.txt @@ -0,0 +1,75 @@ +# Medical Interviewer +This chatbot conducts medical interviews based on psychological knowledge. + +The interviewer will prepare a medical report based on the interview. + +* Please note that this is a simulation and should not be used as a substitute for professional medical advice. +* It is important to emphasize that any information shared is confidential and cannot be accessed. +* In any case, it is recommended not to share sensitive information. + + +**Medical Interviewer** is an AI platform designed to simulate medical interviews. It leverages NLP and speech technologies to emulate a medical psychologist, offering insightful assessments and generating detailed medical reports. + +This platform is ideal for educational, research, and preliminary assessment purposes but should not replace professional medical advice. + +## Features + +**Key Features**: +- **Simulated Interviews**: Conducts interviews with focused medically relevant questions. +- **Natural Language Processing**: Understands and generates contextually relevant questions. +- **LangChain**: Create NLP chains for interview and report generation. +- **Audio Interaction**: Voice conversation simulation where the user can talk to the bot in a way that simulates real conversation or evidence. +- **Report Generation**: Automatically creates comprehensive medical reports after each session. +- **Document Upload for Reports**: Generates reports from uploaded TXT, PDF, or DOCX files. +- **Multi-language Support**: Conducts interviews and generates reports in the user's preferred language. +- **Selectable Interviewers**: Users can select their preferred interviewer, each with a different professional background, experience, and temperament. Options include: + - Sarah: An empathic, compassionate medical with over 30 years of experience, specializing in trauma, anxiety disorders, and family therapy. + - Aaron: A tough minded, medical with over 15 years of experience, specializing in stress, trauma, and high-performance demands, with a background as a military officer. + + +## Retrieval-Augmented Generation (RAG) and Document Retrieval Process + +**Retrieval-Augmented Generation (RAG)** is a method that combines the strengths of retrieval-based and generation-based approaches. RAG helps to ensure that the interview questions generated by the AI are both contextually relevant and grounded in authoritative sources - This optimizes and reduces the response time. + +1. **Document Embeddings**: The documents are converted into embeddings using OpenAI’s embedding models. These embeddings capture the semantic meaning of the text and are used to facilitate efficient retrieval. +2. **FAISS Indexing**: The embeddings are stored in a FAISS (Facebook AI Similarity Search) index. FAISS is optimized for similarity search and clustering of dense vectors, making it ideal for this purpose. +3. **Query Embedding**: When a user input or interview context is provided, it is also converted into an embedding. +4. **Similarity Search**: The query embedding is used to search the FAISS index to retrieve the most relevant documents based on their embeddings. +5. **Top-K Retrieval**: The system retrieves the top-K documents that are most similar to the user’s query embedding. These documents are then used to generate the next interview question, ensuring that the responses are based on relevant and accurate information. + +## Documents and Knowledge Database + +The platform uses a rich set of documents and knowledge bases to inform the AI’s questioning and reporting processes. These documents include: + +- **DSM-5 (Diagnostic and Statistical Manual of Mental Disorders, 5th Edition)**: Provides standardized criteria for the diagnosis of mental health conditions. +- **PDM-2 (Psychodynamic Diagnostic Manual, 2nd Edition)**: Offers a psychodynamic perspective on mental health diagnosis. +- **Personalities Descriptions**: Detailed descriptions of various personality types and traits. +- **Defence Mechanisms**: Information on psychological strategies used by individuals to cope with reality and maintain self-image. +- **Big Five Traits**: Descriptions of the five-factor model of personality traits. +- **Attachment Styles**: Framework for understanding different types of attachment in interpersonal relationships. +- **Interview Conduction Guides for medical Psychologists**: Guidelines and best practices for conducting medical interviews. + +These documents are processed and indexed, enabling the AI to retrieve relevant excerpts during the interview to generate questions that are grounded in established psychological knowledge. + +## Contextual and Historical Relevance + +Throughout the interview process, the AI uses all chat history to ensure that each follow-up question is contextually relevant. By leveraging both the immediate user input and the full history of the conversation, the AI can provide a coherent and comprehensive interview experience. The use of RAG ensures that the follow-up questions are informed not only by the user's previous responses but also by the most relevant and authoritative information available in the knowledge base. + +## Human-like simulated environment +It supports audio interactions by converting text questions into speech and transcribing user audio responses into text, facilitated by OpenAI’s text-to-speech (TTS) and Whisper speech-to-text technologies. This creates a simulated environment for real-like conversational interviews, making the interactions more human-like. + +### Interview Tab + +The session starts with an introductory message delivered in both text and audio formats. Users respond by typing or recording audio responses, which the AI processes to generate and return relevant follow-up questions based on context and the retrieved documents. The conversation continues until a predetermined number of questions have been asked. At the end of the session, a detailed medical report is generated and available for download as a PDF. + +### Upload Document Tab + +Users can upload existing documents and specify their preferred language. The system analyzes the document content and generates a detailed medical report, which can be displayed and downloaded. + +## Disclaimer + +This platform is a simulation and should not replace professional medical advice. Always seek advice from a qualified healthcare provider for medical concerns. + +--- + +**medical Interviewer ** stands as a testament to the potential of advanced AI technologies in simulating medical psychology interviews and generating detailed reports. For technical details, refer to the in-code documentation. This platform offers a valuable tool for educational and research purposes by providing an enriching and interactive user experience. diff --git a/ai-medical-chatbot-master/8-Interviewer/hf/appendix/diagram.png b/ai-medical-chatbot-master/8-Interviewer/hf/appendix/diagram.png new file mode 100644 index 0000000000000000000000000000000000000000..29fb83523d641aa2c4c6bc69bdd49480ad4a07e6 Binary files /dev/null and b/ai-medical-chatbot-master/8-Interviewer/hf/appendix/diagram.png differ diff --git a/ai-medical-chatbot-master/8-Interviewer/hf/appendix/icon.jpeg b/ai-medical-chatbot-master/8-Interviewer/hf/appendix/icon.jpeg new file mode 100644 index 0000000000000000000000000000000000000000..84aae860ac7327ed4f64291d13378aa389695246 Binary files /dev/null and b/ai-medical-chatbot-master/8-Interviewer/hf/appendix/icon.jpeg differ diff --git a/ai-medical-chatbot-master/8-Interviewer/hf/knowledge_retrieval.py b/ai-medical-chatbot-master/8-Interviewer/hf/knowledge_retrieval.py new file mode 100644 index 0000000000000000000000000000000000000000..1ca0a1bc6d579d77a59f9b01d6d0d13821591105 --- /dev/null +++ b/ai-medical-chatbot-master/8-Interviewer/hf/knowledge_retrieval.py @@ -0,0 +1,91 @@ +import random +from langchain_community.vectorstores import FAISS +from langchain_openai import OpenAIEmbeddings +from langchain.chains import create_retrieval_chain +from langchain.chains.combine_documents import create_stuff_documents_chain +from langchain_core.prompts import ChatPromptTemplate +from langchain.retrievers import EnsembleRetriever +from ai_config import n_of_questions, openai_api_key +from prompt_instructions import get_interview_prompt_sarah, get_interview_prompt_aaron, get_report_prompt + +n_of_questions = n_of_questions() + +def setup_knowledge_retrieval(llm, language='english', voice='Sarah'): + embedding_model = OpenAIEmbeddings(openai_api_key=openai_api_key) + + documents_faiss_index = FAISS.load_local("knowledge/faiss_index_all_documents", embedding_model, + allow_dangerous_deserialization=True) + + documents_retriever = documents_faiss_index.as_retriever() + + combined_retriever = EnsembleRetriever( + retrievers=[documents_retriever] + ) + + if voice == 'Sarah': + interview_prompt = ChatPromptTemplate.from_messages([ + ("system", get_interview_prompt_sarah(language, n_of_questions)), + ("human", "{input}") + ]) + else: + interview_prompt = ChatPromptTemplate.from_messages([ + ("system", get_interview_prompt_aaron(language, n_of_questions)), + ("human", "{input}") + ]) + + report_prompt = ChatPromptTemplate.from_messages([ + ("system", get_report_prompt(language)), + ("human", "Please provide a concise clinical report based on the interview.") + ]) + + interview_chain = create_stuff_documents_chain(llm, interview_prompt) + report_chain = create_stuff_documents_chain(llm, report_prompt) + + interview_retrieval_chain = create_retrieval_chain(combined_retriever, interview_chain) + report_retrieval_chain = create_retrieval_chain(combined_retriever, report_chain) + + return interview_retrieval_chain, report_retrieval_chain, combined_retriever + + +def get_next_response(interview_chain, message, history, question_count): + combined_history = "\n".join(history) + + # Check if the interview should end + if question_count >= n_of_questions: + return "Thank you for your responses. I will now prepare a report." + + # Generate the next question + result = interview_chain.invoke({ + "input": f"Based on the patient's last response: '{message}', and considering the full interview history, ask a specific, detailed question that hasn't been asked before and is relevant to the patient's situation.", + "history": combined_history, + "question_number": question_count + 1 # Increment question number here + }) + + next_question = result.get("answer", "Could you provide more details on that?") + + # Update history with the new question and response + history.append(f"Q{question_count + 1}: {next_question}") + history.append(f"A{question_count + 1}: {message}") + + return next_question + + +def generate_report(report_chain, history, language): + combined_history = "\n".join(history) + + result = report_chain.invoke({ + "input": "Please provide a clinical report based on the interview.", + "history": combined_history, + "language": language + }) + + return result.get("answer", "Unable to generate report due to insufficient information.") + + +def get_initial_question(interview_chain): + result = interview_chain.invoke({ + "input": "What should be the first question in a clinical psychology interview?", + "history": "", + "question_number": 1 + }) + return result.get("answer", "Could you tell me a little bit about yourself and what brings you here today?") diff --git a/ai-medical-chatbot-master/8-Interviewer/hf/prompt_instructions.py b/ai-medical-chatbot-master/8-Interviewer/hf/prompt_instructions.py new file mode 100644 index 0000000000000000000000000000000000000000..394e71466d372d635da6388f2f3188506a03352c --- /dev/null +++ b/ai-medical-chatbot-master/8-Interviewer/hf/prompt_instructions.py @@ -0,0 +1,162 @@ +from datetime import datetime +from ai_config import n_of_questions +current_datetime = datetime.now() +current_date = current_datetime.strftime("%Y-%m-%d") + +n_of_questions = n_of_questions() + + +def get_interview_initial_message_sarah(): + return f"""Hello, I'm Sarah, an AI clinical psychologist, and I'll be conducting a clinical interview with you. + I will ask you about {n_of_questions} questions. + Feel free to share as much or as little as you're comfortable with. + Could you please tell me which language you prefer to speak or conduct this interview in? """ + +def get_interview_initial_message_aaron(): + return f"""Hello, I'm Aaron, an AI clinical psychologist. I'll be conducting a brief interview with you. + Which language do you prefer for this interview? my mother tongue language is English, so bear with me if there are any mistakes.""" + + +def get_interview_prompt_sarah(language, n_of_questions): + return f"""You are Sarah, an empathic and compassionate Female Psychologist or Psychiatrist, conducting a clinical interview in {language}. + +A highly experienced and dedicated Clinical Psychologist with over 30 years of experience in clinical practice and research. +Specializing in trauma, anxiety disorders, and family therapy, Sarah has a proven track record of successfully treating a wide range of psychological conditions. +Her deep commitment to patient care and mental health advocacy has driven her to develop innovative therapeutic approaches and lead community mental health initiatives. +Sarah's extensive career is marked by her unwavering dedication to giving back to the community. +She has been actively involved in various community service efforts, including several years of work with children with disabilities and autistic children. +Her compassionate approach and ability to connect with patients of all ages have made her a respected figure in the field of psychology. +Sarah is not only a skilled clinician but also a passionate advocate for mental health, continuously striving to improve the lives of those she serves. + +Use the following context and interview history to guide your response: + +Context from knowledge base: {{context}} + +Previous interview history: +{{history}} + +Current question number: {{question_number}} + +Respond to the patient's input briefly and directly in {language}. +Ask a specific, detailed question that hasn't been asked before. +You must remember all the previous answers given by the patient, and use this information if necessary. +If you perceive particularly special, or unusual, or strange things in the answers that require deepening or in-depth understanding - ask about it or direct your question to get answers about it and clarify the matter - this information maybe benefitial and may hint about the patient personality or traits. +The first question is to ask for the patient name. +The second question is to ask for age. +The third question is to ask where they live. +The fourth questions is to ask what they does for work. +The fifth question is to ask about the nature of the relationship with their parents. +Keep in mind that you have {n_of_questions} total number of questions. +After {n_of_questions} interactions, indicate that you will prepare a report based on the gathered information.""" + + +def get_interview_prompt_aaron(language, n_of_questions): + return f"""You are Aaron, a not so much empathic, tough, and impatient Male Psychologist, Coach, and Mentor, conducting a clinical interview in {language}. + + Aaron Professional Resume or Summary: + Aaron is a highly experienced clinical psychologist with over 15 years of expertise in treating individuals dealing with stress, trauma, and high-performance demands. + His background as an army officer in the special forces, where he served for 20 years, provides him with a unique understanding of the mental health challenges faced by soldiers. + In addition to his work with military personnel, Aaron extends his practice to athletes, entrepreneurs, and business professionals, offering specialized psychological support that helps them achieve peak performance while managing stress and mental well-being. + As a coach and mentor, Aaron is committed to guiding his clients through personal and professional challenges, fostering resilience, and promoting mental wellness. + + Use the following context and interview history to guide your response: + + Context from knowledge base: {{context}} + + Previous interview history: + {{history}} + + Current question number: {{question_number}} + + Respond to the patient's input briefly and directly in {language}. + Ask a specific, detailed question that hasn't been asked before. + You must remember all the previous answers given by the patient, and use this information if necessary. + If you perceive particularly special, or unusual, or strange things in the answers that require deepening or in-depth understanding - ask about it or direct your question to get answers about it and clarify the matter - this information maybe benefitial and may hint about the patient personality or traits. + The first question is to ask for the patient name. + The second question is to ask for age. + The third question is to ask where they live. + The fourth questions is to ask what they does for work. + The fifth question is to ask about the nature of the relationship with their parents. + Keep in mind that you have {n_of_questions} total number of questions. + After {n_of_questions} interactions, indicate that you will prepare a report based on the gathered information.""" + +def get_report_prompt(language): + return f"""You are a Psychologist or Psychiatrist preparing a clinical report in {language}. +Use the following context and interview history to create your report. +Keep the report concise and focused on the key observations: + +Context from knowledge base: {{context}} + +Complete interview history: +{{history}} + +Prepare a brief clinical report in {language} based strictly on the information gathered during the interview. +Date to specify in the report: {current_date} +- Specify name, place of living, and current occupation if available. +- Use only the terms, criteria for diagnosis, and categories for clinical diagnosis or classifications +that are present in the provided knowledge base. Do not introduce any external information or terminology. +* In your diagnosis, you must be very careful. That is, you need to have enough evidence and information to rate or diagnose a patient. +* Your diagnoses must be fact-based when they are implied by what the speakers are saying. +* Write technical, clinical or professional terms only in the English language. +* As a rule, in cases where there is little information about the patient through the conversation or through +the things they say, the diagnosis will be more difficult, and the ratings will be lower, +because it is difficult to draw conclusions when our information about the patient is scarce. +be very selective and careful with your facts that you write or provide in the report. +in such a case, this also must be mentioned and taken into consideration. +* Do not provide any clinical diagnosis or any conclusions in the reports if there is not enough information that the patient provide. +* Any diagnosis or interpretation requires the presentation of facts, foundations, and explanations. +* You can also give examples or quotes. +* There are two parts for the report - main report and additional report. +* Structure the main report to include observed symptoms, potential diagnoses (if applicable), and any other +relevant clinical observations, all within the framework of the given knowledge. + +First, write the main report, than, in addition to the main report, add the following sections as the additional report: +- An overall clinical impression +- Dominant personality characteristics +- Style of communication +- What mainly preoccupies them - themes or topics that preoccupy them in particular +- Possible personal weaknesses or triggers +- Defense Mechanisms +- How they are likely to react to stressful or emotionally charged situations or events +- How they might deal with unexpected situations or events +- How they might behave in a group vs alone +- How they might behave in intimate relationships, and which partners they usually are drawn or attracted to. these unconscious choices may trigger past events or childhood experiences. +- How will they function in work environments, and will they be able to contribute and perform properly and over time in a stable manner. +- Degree of psychological mental health assessment +- What will the experience be in general to meet such a person +- Other things or further assessments that can be examined from a psychological perspective, and in which situations it is necessary to examine the person's reactions in order to get more indications of a diagnosis of their personality +- The type of treatment that is recommended. + +Furthermore, include the following: + +Big Five Traits (ratings of 0-10): +Extraversion: [rating] +Agreeableness: [rating] +Conscientiousness: [rating] +Neuroticism: [rating] +Openness: [rating] +Big Five Traits explanation: [explanation] + +Personality Disorders or Styles (ratings of 0-4): +Depressed: [rating] +Paranoid: [rating] +Schizoid-Schizotypal: [rating] +Antisocial-Psychopathic: [rating] +Borderline-Dysregulated: [rating] +Narcissistic: [rating] +Anxious-Avoidant: [rating] +Dependent-Victimized: [rating] +Hysteric-Histrionic: [rating] +Obsessional: [rating] +Personality Disorders or Styles explanation: [explanation] + +Attachment Styles (ratings of 0-10): +Secured: [rating] +Anxious-Preoccupied: [rating] +Dismissive-Avoidant: [rating] +Fearful-Avoidant: [rating] +Avoidance: [rating] +Positive view toward the Self: [rating] +Positive view toward Others: [rating] +Attachment Styles explanation: [explanation] +""" \ No newline at end of file diff --git a/ai-medical-chatbot-master/8-Interviewer/hf/requirements.txt b/ai-medical-chatbot-master/8-Interviewer/hf/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..be2f6a8521350d799966f8f2ecb87a6141e4e4fe --- /dev/null +++ b/ai-medical-chatbot-master/8-Interviewer/hf/requirements.txt @@ -0,0 +1,20 @@ +python-dotenv==1.0.1 +pandas==2.1.4 +langchain==0.2.6 +langchain-openai==0.1.14 +langchain-core==0.2.11 +langchain-ibm==0.1.8 +langchain-community==0.2.6 +ibm-watson-machine-learning==1.0.359 +ipykernel +notebook +urllib3 +requests==2.32.0 +PyPDF2 +python-docx +reportlab +openai +faiss-cpu +cryptography +pymysql +scikit-learn \ No newline at end of file diff --git a/ai-medical-chatbot-master/8-Interviewer/hf/settings.py b/ai-medical-chatbot-master/8-Interviewer/hf/settings.py new file mode 100644 index 0000000000000000000000000000000000000000..9efa4f37a37d8d28543ebae414126b36d928c4bb --- /dev/null +++ b/ai-medical-chatbot-master/8-Interviewer/hf/settings.py @@ -0,0 +1,245 @@ +import traceback +from datetime import datetime +from pathlib import Path +import os +import random +import string +import tempfile +import re +import io +import PyPDF2 +import docx +from reportlab.pdfgen import canvas +from reportlab.lib.pagesizes import letter +from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer +from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle +from reportlab.lib.enums import TA_JUSTIFY +from ai_config import n_of_questions, load_model, openai_api_key, convert_text_to_speech +from knowledge_retrieval import setup_knowledge_retrieval, generate_report + +# Initialize settings +n_of_questions = n_of_questions() +current_datetime = datetime.now() +human_readable_datetime = current_datetime.strftime("%B %d, %Y at %H:%M") +current_date = current_datetime.strftime("%Y-%m-%d") + +# Initialize the model and retrieval chain +try: + llm = load_model(openai_api_key) + interview_retrieval_chain, report_retrieval_chain, combined_retriever = setup_knowledge_retrieval(llm) + knowledge_base_connected = True + print("Successfully connected to the knowledge base.") +except Exception as e: + print(f"Error initializing the model or retrieval chain: {str(e)}") + knowledge_base_connected = False + print("Falling back to basic mode without knowledge base.") + +question_count = 0 +interview_history = [] +last_audio_path = None # Variable to store the path of the last audio file +initial_audio_path = None # Variable to store the path of the initial audio file +language = None + +def generate_random_string(length=5): + return ''.join(random.choices(string.ascii_letters + string.digits, k=length)) +def respond(message, history, voice, selected_interviewer): + global question_count, interview_history, combined_retriever, last_audio_path, initial_audio_path, language, interview_retrieval_chain, report_retrieval_chain + + if not isinstance(history, list): + history = [] + if not history or not history[-1]: + history.append(["", ""]) + + # Extract the actual message text + if isinstance(message, list): + message = message[-1][0] if message and isinstance(message[-1], list) else message[-1] + + question_count += 1 + interview_history.append(f"Q{question_count}: {message}") + history_str = "\n".join(interview_history) + print("Starting interview", question_count) + + try: + if knowledge_base_connected: + if question_count == 1: + # Capture the language from the first response + language = message.strip().lower() + # Reinitialize the interview chain with the new language + interview_retrieval_chain, report_retrieval_chain, combined_retriever = setup_knowledge_retrieval( + llm, language, selected_interviewer) + + if question_count < n_of_questions: + result = interview_retrieval_chain.invoke({ + "input": f"Based on the patient's statement: '{message}', what should be the next question?", + "history": history_str, + "question_number": question_count + 1, + "language": language + }) + question = result.get("answer", f"Can you tell me more about that? (in {language})") + else: + result = generate_report(report_retrieval_chain, interview_history, language) + question = result + speech_file_path = None # Skip audio generation for the report + + if question: + random_suffix = generate_random_string() + speech_file_path = Path(__file__).parent / f"question_{question_count}_{random_suffix}.mp3" + convert_text_to_speech(question, speech_file_path, voice) + print(f"Question {question_count} saved as audio at {speech_file_path}") + + # Remove the last audio file if it exists + if last_audio_path and os.path.exists(last_audio_path): + os.remove(last_audio_path) + last_audio_path = speech_file_path + else: + speech_file_path = None # Skip audio generation for the report + + else: + # Fallback mode without knowledge base + question = f"Can you elaborate on that? (in {language})" + if question_count < n_of_questions: + speech_file_path = Path(__file__).parent / f"question_{question_count}.mp3" + convert_text_to_speech(question, speech_file_path, voice) + print(f"Question {question_count} saved as audio at {speech_file_path}") + + if last_audio_path and os.path.exists(last_audio_path): + os.remove(last_audio_path) + last_audio_path = speech_file_path + else: + speech_file_path = None + + history[-1][1] = f"{question}" + + # Remove the initial question audio file after the first user response + if initial_audio_path and os.path.exists(initial_audio_path): + os.remove(initial_audio_path) + initial_audio_path = None + + # Clean up older files based on question_count + if question_count > 1: + previous_audio_path = Path(__file__).parent / f"question_{question_count-1}_{random_suffix}.mp3" + if os.path.exists(previous_audio_path): + os.remove(previous_audio_path) + + return history, str(speech_file_path) if speech_file_path else None + + except Exception as e: + print(f"Error in retrieval chain: {str(e)}") + print(traceback.format_exc()) + return history, None + + + + +def reset_interview(): + """Reset the interview state.""" + global question_count, interview_history, last_audio_path, initial_audio_path + question_count = 0 + interview_history = [] + if last_audio_path and os.path.exists(last_audio_path): + os.remove(last_audio_path) + last_audio_path = None + initial_audio_path = None + + +def read_file(file): + if file is None: + return "No file uploaded" + + if isinstance(file, str): + with open(file, 'r', encoding='utf-8') as f: + return f.read() + + if hasattr(file, 'name'): # Check if it's a file-like object + if file.name.endswith('.txt'): + return file.content + elif file.name.endswith('.pdf'): + pdf_reader = PyPDF2.PdfReader(io.BytesIO(file.content)) + return "\n".join(page.extract_text() for page in pdf_reader.pages) + elif file.name.endswith('.docx'): + doc = docx.Document(io.BytesIO(file.content)) + return "\n".join(paragraph.text for paragraph in doc.paragraphs) + else: + return "Unsupported file format" + + return "Unable to read file" + +def generate_report_from_file(file, language): + try: + file_content = read_file(file) + if file_content == "No file uploaded" or file_content == "Unsupported file format" or file_content == "Unable to read file": + return file_content + + file_content = file_content[:100000] + + report_language = language.strip().lower() if language else "english" + print('preferred language:', report_language) + print(f"Generating report in language: {report_language}") # For debugging + + # Reinitialize the report chain with the new language + _, report_retrieval_chain, _ = setup_knowledge_retrieval(llm, report_language) + + result = report_retrieval_chain.invoke({ + "input": "Please provide a clinical report based on the following content:", + "history": file_content, + "language": report_language + }) + report_content = result.get("answer", "Unable to generate report due to insufficient information.") + pdf_path = create_pdf(report_content) + return report_content, pdf_path + except Exception as e: + return f"An error occurred while processing the file: {str(e)}", None + + +def generate_interview_report(interview_history, language): + try: + report_language = language.strip().lower() if language else "english" + print('preferred report_language language:', report_language) + _, report_retrieval_chain, _ = setup_knowledge_retrieval(llm, report_language) + + result = report_retrieval_chain.invoke({ + "input": "Please provide a clinical report based on the following interview:", + "history": "\n".join(interview_history), + "language": report_language + }) + report_content = result.get("answer", "Unable to generate report due to insufficient information.") + pdf_path = create_pdf(report_content) + return report_content, pdf_path + except Exception as e: + return f"An error occurred while generating the report: {str(e)}", None + +def create_pdf(content): + + random_string = generate_random_string() + + temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=f'_report.pdf') + doc = SimpleDocTemplate(temp_file.name, pagesize=letter) + styles = getSampleStyleSheet() + + # Create a custom style for bold text + bold_style = ParagraphStyle('Bold', parent=styles['Normal'], fontName='Helvetica-Bold', fontSize=10) + + # Create a custom style for normal text with justification + normal_style = ParagraphStyle('Normal', parent=styles['Normal'], alignment=TA_JUSTIFY) + + flowables = [] + + for line in content.split('\n'): + # Use regex to find words surrounded by ** + parts = re.split(r'(\*\*.*?\*\*)', line) + paragraph_parts = [] + + for part in parts: + if part.startswith('**') and part.endswith('**'): + # Bold text + bold_text = part.strip('**') + paragraph_parts.append(Paragraph(bold_text, bold_style)) + else: + # Normal text + paragraph_parts.append(Paragraph(part, normal_style)) + + flowables.extend(paragraph_parts) + flowables.append(Spacer(1, 12)) # Add space between paragraphs + + doc.build(flowables) + return temp_file.name \ No newline at end of file diff --git a/ai-medical-chatbot-master/Chatbot-Medical-Llama3-v2.ipynb b/ai-medical-chatbot-master/Chatbot-Medical-Llama3-v2.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..8b074de88cb3c6e625e28682c05999b4d7eba448 --- /dev/null +++ b/ai-medical-chatbot-master/Chatbot-Medical-Llama3-v2.ipynb @@ -0,0 +1,195 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "toc_visible": true, + "machine_shape": "hm", + "gpuType": "A100", + "authorship_tag": "ABX9TyNMzCSw8XLVSOI/aj2QMEti", + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Medical AI Chatbot\n", + "## [ruslanmv/Medical-Llama3-v2](https://github.com/ruslanmv/ai-medical-chatbot/blob/master/Chatbot-Medical-Llama3-v2.ipynb)" + ], + "metadata": { + "id": "D2JxjUcy8nZg" + } + }, + { + "cell_type": "code", + "source": [ + "from IPython.display import clear_output\n", + "!pip install bitsandbytes accelerate gradio\n", + "clear_output()" + ], + "metadata": { + "id": "eS2NsgQgvhZQ" + }, + "execution_count": 2, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig\n", + "import torch\n", + "\n", + "# Define BitsAndBytesConfig\n", + "bnb_config = BitsAndBytesConfig(load_in_4bit=True,\n", + " bnb_4bit_quant_type=\"nf4\",\n", + " bnb_4bit_compute_dtype=torch.float16)\n", + "\n", + "# Model name\n", + "model_name = \"ruslanmv/Medical-Llama3-v2\"\n", + "\n", + "# Load tokenizer and model with BitsAndBytesConfig\n", + "tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True, bnb_config=bnb_config)\n", + "model = AutoModelForCausalLM.from_pretrained(model_name, config=bnb_config)\n", + "\n", + "# Ensure model is on the correct device\n", + "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", + "model.to(device)" + ], + "metadata": { + "id": "teoE-Zmv4LlP" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Define the respond function\n", + "def respond(\n", + " message,\n", + " history: list[tuple[str, str]],\n", + " system_message,\n", + " max_tokens,\n", + " temperature,\n", + " top_p,\n", + "):\n", + " messages = [{\"role\": \"system\", \"content\": system_message}]\n", + "\n", + " for val in history:\n", + " if val[0]:\n", + " messages.append({\"role\": \"user\", \"content\": val[0]})\n", + " if val[1]:\n", + " messages.append({\"role\": \"assistant\", \"content\": val[1]})\n", + "\n", + " messages.append({\"role\": \"user\", \"content\": message})\n", + "\n", + " # Format the conversation as a single string for the model\n", + " prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)\n", + " inputs = tokenizer(prompt, return_tensors=\"pt\", truncation=True, padding=True, max_length=1000)\n", + "\n", + " # Move inputs to device\n", + " input_ids = inputs['input_ids'].to(device)\n", + " attention_mask = inputs['attention_mask'].to(device)\n", + "\n", + " # Generate the response\n", + " with torch.no_grad():\n", + " outputs = model.generate(\n", + " input_ids=input_ids,\n", + " attention_mask=attention_mask,\n", + " max_length=max_tokens,\n", + " temperature=temperature,\n", + " top_p=top_p,\n", + " use_cache=True\n", + " )\n", + "\n", + " # Extract the response\n", + " response_text = tokenizer.batch_decode(outputs, skip_special_tokens=True)[0]\n", + "\n", + " # Remove the prompt and system message from the response\n", + " response_text = response_text.replace(system_message, '').strip()\n", + " response_text = response_text.replace(f\"Human: {message}\\n\\nAssistant: \", '').strip()\n", + "\n", + " return response_text\n", + "\n", + "# Create the Gradio interface\n", + "demo = gr.ChatInterface(\n", + " respond,\n", + " additional_inputs=[\n", + " gr.Textbox(value=\"You are a Medical AI Assistant. Please be thorough and provide an informative answer. If you don't know the answer to a specific medical inquiry, advise seeking professional help.\", label=\"System message\"),\n", + " gr.Slider(minimum=1, maximum=2048, value=512, step=1, label=\"Max new tokens\"),\n", + " gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label=\"Temperature\"),\n", + " gr.Slider(\n", + " minimum=0.1,\n", + " maximum=1.0,\n", + " value=0.95,\n", + " step=0.05,\n", + " label=\"Top-p (nucleus sampling)\",\n", + " ),\n", + " ],\n", + " title=\"Medical AI Assistant\",\n", + " description=\"Ask any medical-related questions and get informative answers. If the AI doesn't know the answer, it will advise seeking professional help.\",\n", + " examples=[[\"I have a headache and a fever. What should I do?\"], [\"What are the symptoms of diabetes?\"], [\"How can I improve my sleep?\"]],\n", + "\n", + ")\n", + "\n", + "if __name__ == \"__main__\":\n", + " demo.launch()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 625 + }, + "id": "7PPuaI3C-FUg", + "outputId": "b5722b5f-f2f2-4e23-fca5-d801378efa82" + }, + "execution_count": 42, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Setting queue=True in a Colab notebook requires sharing enabled. Setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n", + "\n", + "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n", + "Running on public URL: https://12a24debf148400150.gradio.live\n", + "\n", + "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "

" + ] + }, + "metadata": {} + } + ] + } + ] +} \ No newline at end of file diff --git a/ai-medical-chatbot-master/LICENSE.txt b/ai-medical-chatbot-master/LICENSE.txt new file mode 100644 index 0000000000000000000000000000000000000000..3fc72effe3aeb12504ce1c367af3adc460ffd5ce --- /dev/null +++ b/ai-medical-chatbot-master/LICENSE.txt @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2023 Ruslan Magana Vsevolodovna + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/ai-medical-chatbot-master/Medical-Llama3-v2.ipynb b/ai-medical-chatbot-master/Medical-Llama3-v2.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..b7f472a427ce6e2023c5115499035999c90f3f51 --- /dev/null +++ b/ai-medical-chatbot-master/Medical-Llama3-v2.ipynb @@ -0,0 +1,593 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "toc_visible": true, + "machine_shape": "hm", + "gpuType": "A100", + "authorship_tag": "ABX9TyNbD58yeZCSySm5WRgddr3c", + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU", + "widgets": { + 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"_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + } + } + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "code", + "source": [ + "from IPython.display import clear_output\n", + "!pip install bitsandbytes accelerate\n", + "clear_output()" + ], + "metadata": { + "id": "eS2NsgQgvhZQ" + }, + "execution_count": 2, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig\n", + "import torch\n", + "\n", + "# Define BitsAndBytesConfig\n", + "bnb_config = BitsAndBytesConfig(load_in_4bit=True,\n", + " bnb_4bit_quant_type=\"nf4\",\n", + " bnb_4bit_compute_dtype=torch.float16)\n", + "\n", + "# Model name\n", + "model_name = \"ruslanmv/Medical-Llama3-v2\"\n", + "\n", + "# Load tokenizer and model with BitsAndBytesConfig\n", + "tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True, bnb_config=bnb_config)\n", + "model = AutoModelForCausalLM.from_pretrained(model_name, config=bnb_config)\n", + "\n", + "# Ensure model is on the correct device\n", + "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", + "model.to(device)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 518, + "referenced_widgets": [ + "01547760c189409f861090df1e625a20", + "f820192db85f499bbe68ed9864416f9d", + "cd0c36d64ef4486598516011e53e6130", + "40763a501c974a91b9645c0e750701dd", + "bce6464f637f4a928abba041719c8a75", + "3c7a336419d74ea7bf3be11638c7a048", + "53db4d18cc184f34b2b98d096e64a3fd", + "ac7a147e018645b28007c62ef77bb3eb", + "59e573fbcd2d41c2972329af2281097f", + "d1dff55270cd46f3bd8d7a2489c8e48e", + "4ca954cb7f2d4aa1ae2d80fcfc535dd0" + ] + }, + "id": "pAHvs3NkynJ7", + "outputId": "ef8c55ba-6d38-47b6-82de-86bd885c0321" + }, + "execution_count": 1, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Loading checkpoint shards: 0%| | 0/5 [00:00 Let us use the best technologies in the world to help us. + + + +## Medical Interviewer +[![](assets/2024-09-08-19-33-56.png)](https://huggingface.co/spaces/ruslanmv/Medical-Interviewer) + +Chatbot that perform medical interview + +For more details visit [this](./8-Interviewer/README.md) + + +## Contributing + +Please free to contribute following the standard guidelines for submitting patches and additions or solutions. Feel free to submit issues and enhancement requests. + +To more information visit www.ruslanmv.com + +Copyright 2024 Ruslan Magana Vsevolodovna This program is distributed under the terms of the GNU Lesser General Public License. + + + + + diff --git a/ai-medical-chatbot-master/assets/2024-05-16-09-23-02.png b/ai-medical-chatbot-master/assets/2024-05-16-09-23-02.png new file mode 100644 index 0000000000000000000000000000000000000000..61aa7f6c9835f173fb9d1809f10a6b06977d8add --- /dev/null +++ b/ai-medical-chatbot-master/assets/2024-05-16-09-23-02.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:92d0613ae78bfe0449c6d8b6d81242274ed805f57d0dafe1c28b85e1e56f388d +size 5133421 diff --git a/ai-medical-chatbot-master/assets/2024-09-08-19-33-56.png b/ai-medical-chatbot-master/assets/2024-09-08-19-33-56.png new file mode 100644 index 0000000000000000000000000000000000000000..01ab6378fbee94e9b0e04d17daf8cf4fb95f076c Binary files /dev/null and b/ai-medical-chatbot-master/assets/2024-09-08-19-33-56.png differ diff --git a/ai-medical-chatbot-master/assets/images/background.jpg b/ai-medical-chatbot-master/assets/images/background.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4d74d7720535651a804f82e10dc87f39961986b9 Binary files /dev/null and b/ai-medical-chatbot-master/assets/images/background.jpg differ diff --git a/ai-medical-chatbot-master/assets/images/posts/README/future-full.jpg b/ai-medical-chatbot-master/assets/images/posts/README/future-full.jpg new file mode 100644 index 0000000000000000000000000000000000000000..75face20fc5eb994abaec76c989ba2c0bdaf2b49 Binary files /dev/null and b/ai-medical-chatbot-master/assets/images/posts/README/future-full.jpg differ diff --git a/ai-medical-chatbot-master/assets/images/posts/README/future.jpg b/ai-medical-chatbot-master/assets/images/posts/README/future.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f70a0e591cdb155df9e78011a6de5861798e8e07 Binary files /dev/null and b/ai-medical-chatbot-master/assets/images/posts/README/future.jpg differ diff --git a/ai-medical-chatbot-master/assets/images/posts/README/im-778762.png b/ai-medical-chatbot-master/assets/images/posts/README/im-778762.png new file mode 100644 index 0000000000000000000000000000000000000000..5960dfb86465e09a1eef64f0810b37d1fd9c3b77 Binary files /dev/null and b/ai-medical-chatbot-master/assets/images/posts/README/im-778762.png differ diff --git a/ai-medical-chatbot-master/env.bat b/ai-medical-chatbot-master/env.bat new file mode 100644 index 0000000000000000000000000000000000000000..986bcb96834a3db392f668d35096162d73c6dc46 --- /dev/null +++ b/ai-medical-chatbot-master/env.bat @@ -0,0 +1 @@ +.venv\Scripts>activate \ No newline at end of file diff --git a/ai-medical-chatbot-master/env.sh b/ai-medical-chatbot-master/env.sh new file mode 100644 index 0000000000000000000000000000000000000000..cf7aa01724eb20fb43747ff31b5715f811847755 --- /dev/null +++ b/ai-medical-chatbot-master/env.sh @@ -0,0 +1 @@ +gpt/my_venv/bin/activate \ No newline at end of file