sid_racha
commited on
Commit
·
0b86375
1
Parent(s):
24fdbf8
modified enpoints
Browse files- app.py +11 -1
- app/chains.py +2 -2
- app/prompts.py +20 -8
app.py
CHANGED
@@ -1,5 +1,15 @@
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from fastapi import FastAPI
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app = FastAPI()
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@app.get("/")
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def greet_json():
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return {"Hello": "World!"}
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from fastapi import FastAPI, Request
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from app.main import app as main_app
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app = FastAPI()
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@app.get("/")
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def greet_json():
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return {"Hello": "World!"}
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# Mount the main app
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app.mount("/", main_app)
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app/chains.py
CHANGED
@@ -6,7 +6,7 @@ from prompts import (
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raw_prompt,
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raw_prompt_formatted,
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format_context,
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)
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from data_indexing import DataIndexer
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@@ -16,7 +16,7 @@ llm = HuggingFaceEndpoint(
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model="meta-llama/Llama-3.1-8B-Instruct",
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huggingfacehub_api_token=os.environ['HF_TOKEN'],
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max_new_tokens=512,
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streaming=True,
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)
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raw_prompt,
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raw_prompt_formatted,
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format_context,
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tokenizer
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)
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from data_indexing import DataIndexer
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model="meta-llama/Llama-3.1-8B-Instruct",
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huggingfacehub_api_token=os.environ['HF_TOKEN'],
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max_new_tokens=512,
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stop_sequences=[tokenizer.eos_token],
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streaming=True,
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)
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app/prompts.py
CHANGED
@@ -1,12 +1,29 @@
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from langchain_core.prompts import PromptTemplate
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from typing import List
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import models
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def format_prompt(prompt) -> PromptTemplate:
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# TODO: format the input prompt by using the model specific instruction template
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# TODO: return a langchain PromptTemplate
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def format_chat_history(messages: List[models.Message]):
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# TODO: implement format_chat_history to format
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@@ -35,7 +52,7 @@ standalone_prompt: str = None
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rag_prompt: str = None
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# TODO: create raw_prompt_formatted by using format_prompt
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raw_prompt_formatted =
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raw_prompt = PromptTemplate.from_template(raw_prompt)
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# TODO: use format_prompt to create history_prompt_formatted
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# TODO: use format_prompt to create standalone_prompt_formatted
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standalone_prompt_formatted: PromptTemplate = None
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# TODO: use format_prompt to create rag_prompt_formatted
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rag_prompt_formatted: PromptTemplate = None
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from langchain_core.prompts import PromptTemplate
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from typing import List
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import models
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from transformers import AutoTokenizer
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model_name = "meta-llama/Llama-3.1-8B-Instruct"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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def format_prompt(prompt) -> PromptTemplate:
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# TODO: format the input prompt by using the model specific instruction template
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# TODO: return a langchain PromptTemplate
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# Test with a simple question
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chat = [
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{"role": "system", "content": "You are a helpful AI assistant."},
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{"role": "user", "content": prompt},
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]
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formatted_prompt = tokenizer.apply_chat_template(
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chat,
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tokenize=False,
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add_generation_prompt=True
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)
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return PromptTemplate.from_template(formatted_prompt)
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def format_chat_history(messages: List[models.Message]):
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# TODO: implement format_chat_history to format
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rag_prompt: str = None
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# TODO: create raw_prompt_formatted by using format_prompt
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raw_prompt_formatted = format_prompt(raw_prompt)
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raw_prompt = PromptTemplate.from_template(raw_prompt)
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# TODO: use format_prompt to create history_prompt_formatted
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# TODO: use format_prompt to create standalone_prompt_formatted
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standalone_prompt_formatted: PromptTemplate = None
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# TODO: use format_prompt to create rag_prompt_formatted
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rag_prompt_formatted: PromptTemplate = None
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