Upload 5 files

README.md

@@ -1,10 +1,10 @@
 ---
-title: CJMC
-emoji: 😻
-colorFrom: yellow
-colorTo: gray
-sdk: gradio
-sdk_version: 4.43.0
+title: Chatbot
+emoji: ⚡
+colorFrom: purple
+colorTo: red
+sdk: streamlit
+sdk_version: 1.37.1
 app_file: app.py
 pinned: false
 ---

app.py

@@ -0,0 +1,133 @@
+import streamlit as st
+from PIL import Image
+import speech_recognition as sr
+import google.generativeai as genai
+from pymongo import MongoClient
+from bson.objectid import ObjectId
+import pyttsx3
+
+client = MongoClient("mongodb://localhost:27017/")
+db = client["search_history"]
+history_collection = db["history"]
+
+api_key = 'AIzaSyDJZ3r6VRhRivR0pb96cBRg_VvGg_fXq5k'
+params = {
+    'key': api_key,
+}
+
+def save_history(input_mode, user_input, response):
+    history_entry = {
+        "input_mode": input_mode,
+        "user_input": user_input,
+        "response": response
+    }
+    history_collection.insert_one(history_entry)
+
+def load_history():
+    history_entries = list(history_collection.find().sort("_id", -1))
+    return history_entries
+
+def delete_history(entry_id):
+    history_collection.delete_one({"_id": ObjectId(entry_id)})
+
+def process_text(text):
+    genai.configure(api_key=api_key)
+    model = genai.GenerativeModel('gemini-1.5-pro-latest')
+    response = model.generate_content(text)
+    result = response.text
+    save_history("Text", text, result)
+    return result
+
+def process_image(text):
+    genai.configure(api_key=api_key)
+    model = genai.GenerativeModel('gemini-1.5-pro-latest')
+    response = model.generate_content(text)
+    save_history("Image", image.name, response)
+    return response
+
+def recognize_speech():
+    recognizer = sr.Recognizer()
+    with sr.Microphone() as source:
+        st.write("Listening...")
+        audio = recognizer.listen(source)
+    try:
+        text = recognizer.recognize_google(audio)
+        return text
+    except sr.UnknownValueError:
+        return "Google Speech Recognition could not understand audio"
+    except sr.RequestError as e:
+        return f"Could not request results from Google Speech Recognition service; {e}"
+
+def speak_text(text):
+    engine = pyttsx3.init()
+    engine.say(text)
+    engine.runAndWait()
+
+st.set_page_config(layout="wide")
+st.sidebar.title("History")
+
+history = load_history()
+selected_response = None
+
+for entry in history:
+    with st.sidebar.expander(f"{entry['user_input']}"):
+        col1, col2 = st.columns([1, 1])
+        with col1:
+            if st.button("Response", key=str(entry['_id'])):
+                selected_response = entry['response']
+        with col2:
+            if st.button("Delete", key=f"delete_{entry['_id']}"):
+                delete_history(entry['_id'])
+                st.experimental_rerun()
+
+st.title("🤖 ChatBot")
+
+generated_content_placeholder = st.empty()
+
+if selected_response:
+    generated_content_placeholder.write(selected_response)
+    if st.button("🔊 Speak"):
+        speak_text(selected_response)
+
+# Load and apply custom CSS
+with open("./style.css") as f:
+    st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
+
+
+# Main content
+col1, col2 = st.columns([1, 3])
+
+with col1:
+    input_type = st.selectbox("Select input type", ["Ask a Question❓", "🖼️ upload Image", "🎤 use Microphone"])
+
+with col2:
+    if input_type == "Ask a Question❓":
+        text_input = st.text_input("Enter your prompt here")
+        if text_input:
+            with st.spinner("Generating response..."):
+                result = process_text(text_input)
+            generated_content_placeholder.write(result)
+            if st.button("🔊 Speak", key="speak_text_input"):
+                speak_text(result)
+
+    elif input_type == "🖼️ upload Image":
+        image_input = st.file_uploader("Upload an image", type=["jpg", "png", "jpeg"])
+        if image_input:
+            image = Image.open(image_input)
+            st.image(image, caption='Uploaded Image.', use_column_width=True)
+            with st.spinner("Processing image..."):
+                response = process_text(image_input)
+            generated_content_placeholder.write(response)
+
+    elif input_type == "🎤 use Microphone":
+        if st.button("Record"):
+            with st.spinner("Listening and processing..."):
+                text_from_speech = recognize_speech()
+            if text_from_speech:
+                text_input = st.text_input("Speak", value=text_from_speech)
+                if text_input:
+                    with st.spinner("Generating response..."):
+                        result = process_text(text_input)
+                    generated_content_placeholder.write(result)
+                    if st.button("🔊 Speak", key="speak_speech_input"):
+                        speak_text(result)

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

requirements.txt

@@ -0,0 +1,7 @@
+streamlit
+Pillow
+SpeechRecognition
+google-generativeai
+pymongo
+pyttsx3
+bson

style.css

@@ -0,0 +1,19 @@
+.footer-container {
+    position: fixed;
+    bottom: 0;
+    width: 100%;
+    background-color: white;
+    padding: 10px;
+    border-top: 1px solid #eaeaea;
+    z-index: 1000; 
+}
+
+.footer {
+    text-align: center;
+    padding: 10px;
+    font-size: 14px;
+}
+
+.stSelectbox, .stTextInput, .stButton {
+    margin-bottom: 0 !important;
+}