Update app.py

app.py

@@ -1,201 +1,37 @@
-import streamlit as st
 from transformers import pipeline
-import random
+import requests
 
-# Initialize the text generation model
-llm = pipeline('text-generation', model='gpt2')
+# Replace with your actual LangSmith API key
+LANGSMITH_API_KEY = 'your_langsmith_api_key'
+LANGSMITH_ENDPOINT = 'https://api.langsmith.com/v1/tailor'
 
-# Define prompts and responses for different inquiries
-menu = {
-    "Appetizers": [
-        {"name": "Spring Rolls", "price": 5},
-        {"name": "Garlic Bread", "price": 4}
-    ],
-    "Main Courses": [
-        {"name": "Grilled Chicken", "price": 15},
-        {"name": "Vegetable Stir Fry", "price": 12}
-    ],
-    "Desserts": [
-        {"name": "Cheesecake", "price": 6},
-        {"name": "Chocolate Lava Cake", "price": 7}
-    ],
-    "Drinks": [
-        {"name": "Soda", "price": 2},
-        {"name": "Wine", "price": 8}
-    ],
-    "Combo Meals": [
-        {"name": "Lunch Combo", "price": 10},
-        {"name": "Dinner Combo", "price": 20}
-    ]
-}
+# Initialize the Hugging Face conversational pipeline
+conversational_pipeline = pipeline('conversational', model='facebook/blenderbot-3B')
 
-specials = {
-    "Monday": "Spaghetti Bolognese - $10",
-    "Tuesday": "Tacos - $8",
-    "Wednesday": "BBQ Ribs - $12",
-    "Thursday": "Sushi - $14",
-    "Friday": "Fish & Chips - $11",
-}
-
-events = {
-    "Folk Lore Show": "Every Friday at 7 PM",
-    "Cooking Class": "Every Saturday at 10 AM",
-    "Food Festival": "Last weekend of each month"
-}
-
-website_info = {
-    "password_reset": "To reset your password, go to the password reset page and follow the instructions.",
-    "track_order": "Track your delivery order on our tracking page.",
-    "gift_cards": "We offer online gift cards. Purchase them on our gift card page.",
-    "change_address": "Change your delivery address in your account settings.",
-    "cancel_order": "Cancel your order online within a specified timeframe on your order page.",
-    "delete_account": "To delete your account, contact our support team.",
-    "chat_support": "Start an online chat with our support team on our chat support page.",
-    "social_media": {
-        "facebook": "You can reach us on Facebook.",
-        "twitter": "You can reach us on Twitter.",
-        "instagram": "You can reach us on Instagram."
-    },
-    "reviews": "Customer reviews are available on our reviews page.",
-    "update_profile": "Update your profile information in your account settings."
-}
-
-# Shortened quiz data with 5 questions
-quiz_questions = [
-    {"question": "How many cuisines does 'The Chef Story' offer?",
-     "options": ["1", "3", "5", "More than 5"],
-     "answer": "More than 5"},
-    {"question": "What is a unique feature of 'The Chef Story'?",
-     "options": ["Drive-thru service", "Folk Lore shows", "Home delivery only", "DIY meal kits"],
-     "answer": "Folk Lore shows"},
-    {"question": "What type of shows can you enjoy at our facility?",
-     "options": ["Magic shows", "Folk Lore shows", "Stand-up comedy", "Movie screenings"],
-     "answer": "Folk Lore shows"},
-    {"question": "Can you customize your order at 'The Chef Story'?",
-     "options": ["Yes", "No"],
-     "answer": "Yes"},
-    {"question": "What is the price of the Lunch Combo?",
-     "options": ["$10", "$15", "$20", "$25"],
-     "answer": "$10"}
-]
-
-# State management for the quiz
-if 'quiz_state' not in st.session_state:
-    st.session_state.quiz_state = {
-        "current_question": None,
-        "options": [],
-        "answer": None,
-        "score": 0,
-        "total_questions": 0
+def tailor_with_langsmith(model_data):
+    headers = {
+        'Authorization': f'Bearer {LANGSMITH_API_KEY}',
+        'Content-Type': 'application/json'
     }
+    data = {
+        'model_data': model_data
+    }
+    response = requests.post(LANGSMITH_ENDPOINT, json=data, headers=headers)
+    response.raise_for_status()
+    return response.json()
 
-def start_quiz():
-    st.session_state.quiz_state["score"] = 0
-    st.session_state.quiz_state["total_questions"] = len(quiz_questions)
-    st.session_state.quiz_state["current_question"] = random.choice(quiz_questions)
-    st.session_state.quiz_state["options"] = st.session_state.quiz_state["current_question"]["options"]
-    st.session_state.quiz_state["answer"] = st.session_state.quiz_state["current_question"]["answer"]
-    question = st.session_state.quiz_state["current_question"]["question"]
-    options = " / ".join(st.session_state.quiz_state["options"])
-    return f"Quiz Time! {question} Options: {options}"
-
-def check_answer(user_answer):
-    if st.session_state.quiz_state["current_question"] is None:
-        return "No quiz in progress. Type 'start quiz' to begin."
-    
-    correct_answer = st.session_state.quiz_state["answer"]
-    
-    if user_answer.lower() == correct_answer.lower():
-        st.session_state.quiz_state["score"] += 1
-        response = "Correct! "
-    else:
-        response = "Incorrect. The correct answer was: " + correct_answer + ". "
-    
-    st.session_state.quiz_state["total_questions"] -= 1
-    
-    if st.session_state.quiz_state["total_questions"] == 0:
-        final_score = st.session_state.quiz_state["score"]
-        st.session_state.quiz_state = {"current_question": None, "options": [], "answer": None, "score": 0, "total_questions": 0}
-        return f"Quiz over! Your final score is {final_score}."
-    
-    st.session_state.quiz_state["current_question"] = random.choice(quiz_questions)
-    st.session_state.quiz_state["options"] = st.session_state.quiz_state["current_question"]["options"]
-    st.session_state.quiz_state["answer"] = st.session_state.quiz_state["current_question"]["answer"]
-    question = st.session_state.quiz_state["current_question"]["question"]
-    options = " / ".join(st.session_state.quiz_state["options"])
-    return f"{response} Next question: {question} Options: {options}"
-
-def handle_message(message):
-    message = message.lower()
-    if "start quiz" in message:
-        return start_quiz()
-    elif "answer" in message:
-        user_answer = message.split(" ", 1)[1].strip()
-        return check_answer(user_answer)
-    elif "menu" in message:
-        return menu
-    elif "price" in message:
-        return "Check our menu for detailed pricing information."
-    elif "special" in message:
-        return specials.get("Monday", "No special today.")
-    elif "events" in message:
-        return events
-    elif "kid" in message or "play area" in message:
-        return "Yes, we have a dedicated play area for kids."
-    elif "wheelchair" in message or "accessibility" in message:
-        return "Yes, our restaurant is wheelchair accessible."
-    elif "digital payments" in message:
-        return "We accept digital payments like Apple Pay and Google Pay."
-    elif "password reset" in message:
-        return website_info["password_reset"]
-    elif "track order" in message:
-        return website_info["track_order"]
-    elif "gift card" in message:
-        return website_info["gift_cards"]
-    elif "change address" in message:
-        return website_info["change_address"]
-    elif "cancel order" in message:
-        return website_info["cancel_order"]
-    elif "delete account" in message:
-        return website_info["delete_account"]
-    elif "chat support" in message:
-        return website_info["chat_support"]
-    elif "social media" in message:
-        return website_info["social_media"]
-    elif "reviews" in message:
-        return website_info["reviews"]
-    elif "update profile" in message:
-        return website_info["update_profile"]
-    else:
-        # Use the model to generate a response if no direct match is found
-        prompt = f"Customer inquiry: {message}. Please provide a helpful response."
-        return generate_response(prompt)
-
-def generate_response(prompt):
-    # Generate a response using Hugging Face's transformers pipeline
-    response = llm(prompt, max_length=150, num_return_sequences=1)
-    return response[0]['generated_text']
-
-def main():
-    st.title("The Cuisine Crafter")
-
-    user_input = st.text_area("You:", "")
-
-    if user_input:
-        response = handle_message(user_input)
-        st.write(f"Bot: {response}")
+def create_custom_conversation(prompt):
+    # Step 1: Get response from Hugging Face model
+    hf_response = conversational_pipeline(prompt)
+    hf_reply = hf_response[0]['generated_text']
 
-    # Option to start the quiz
-    if st.button('Start Quiz'):
-        quiz_response = start_quiz()
-        st.write(f"Bot: {quiz_response}")
+    # Step 2: Tailor the response using LangSmith
+    tailored_response = tailor_with_langsmith(hf_reply)
+    tailored_reply = tailored_response.get('tailored_reply', '')
 
-    # Option to answer quiz questions
-    if 'quiz_state' in st.session_state and st.session_state.quiz_state["current_question"]:
-        user_answer = st.text_input("Your Answer:", "")
-        if st.button('Submit Answer'):
-            quiz_response = check_answer(user_answer)
-            st.write(f"Bot: {quiz_response}")
+    return tailored_reply
 
-if __name__ == "__main__":
-    main()
+if __name__ == '__main__':
+    user_prompt = "Tell me about the latest advancements in AI."
+    response = create_custom_conversation(user_prompt)
+    print("Tailored Response:", response)