import gradio as gr from flask import Flask, request, jsonify # Flask app setup app = Flask(__name__) # Corrected Food Database with consistent food item names FOOD_DATABASE = { "veg": { "paneer": { "lowCalorie": [ {"name": "Grilled Paneer Tikka", "description": "Marinated and grilled paneer cubes with spices", "calories": 180, "protein": 14}, {"name": "Paneer Bhurji", "description": "Scrambled paneer with vegetables", "calories": 200, "protein": 16} ], "highProtein": [ {"name": "Protein Paneer Bowl", "description": "High protein paneer with quinoa", "calories": 320, "protein": 24}, {"name": "Paneer Steak", "description": "Thick cut paneer steak with herbs", "calories": 280, "protein": 22} ] }, "mushroom": { "lowCalorie": [ {"name": "Grilled Mushroom Caps", "description": "Herb-stuffed mushroom caps", "calories": 120, "protein": 8}, {"name": "Mushroom Soup", "description": "Creamy mushroom soup", "calories": 150, "protein": 6} ] }, "aloo": { "lowCalorie": [ {"name": "Baked Potato Wedges", "description": "Spiced and baked potato wedges", "calories": 160, "protein": 4}, {"name": "Aloo Tikki", "description": "Spiced potato patties", "calories": 180, "protein": 3} ] } }, "nonveg": { "chicken": { "highProtein": [ {"name": "Grilled Chicken Breast", "description": "Herb-marinated grilled chicken", "calories": 250, "protein": 30}, {"name": "Chicken Tikka", "description": "Tandoori spiced chicken pieces", "calories": 280, "protein": 32} ] }, "fish": { "lowCalorie": [ {"name": "Grilled Salmon", "description": "Lemon herb grilled salmon", "calories": 220, "protein": 25}, {"name": "Steamed Fish", "description": "Ginger-garlic steamed fish", "calories": 180, "protein": 22} ] }, "mutton": { "balanced": [ {"name": "Mutton Curry", "description": "Traditional spiced mutton curry", "calories": 350, "protein": 28}, {"name": "Grilled Lamb Chops", "description": "Herb-crusted lamb chops", "calories": 380, "protein": 32} ] } } } VEG_INGREDIENTS = ["Paneer", "Mushroom", "Aloo"] NONVEG_TYPES = ["Chicken", "Fish", "Mutton"] NUTRITION_OPTIONS = ["Low Calorie", "High Protein", "Low Carb", "Balanced", "Gluten Free"] class ChatState: def __init__(self): self.step = "initial" self.category = "" self.ingredient = "" self.nutrition = "" chat_state = ChatState() def process_message(message, history): # Step 1: If initial step (asks if user wants to proceed) if chat_state.step == "initial": if "yes" in message.lower() or "yeah" in message.lower(): chat_state.step = "category" return "Great! Please select your preferred category: Vegetarian, Non-Vegetarian." return "I'm here to help you customize your food. Would you like to proceed? (Yes/No)" # Step 2: Category selection elif chat_state.step == "category": chat_state.category = message.lower() chat_state.step = "ingredient" if "vegetarian" in message.lower(): return f"Great! What main ingredient would you like? Available options: {', '.join(VEG_INGREDIENTS)}" elif "non-vegetarian" in message.lower(): return f"Great! What type of meat would you prefer? Available options: {', '.join(NONVEG_TYPES)}" return "Please select either Vegetarian or Non-Vegetarian." # Step 3: Ingredient selection elif chat_state.step == "ingredient": chat_state.ingredient = message.lower().strip() # Ensure no extra spaces or case issues # Determine if the ingredient belongs to Veg or Non-Veg category category = "nonveg" if "non" in chat_state.category else "veg" # Check if the ingredient exists in the food database if chat_state.ingredient not in FOOD_DATABASE[category]: chat_state.step = "initial" # Reset for new conversation return f"Sorry, I don't have any data for {message}. Please select another ingredient." # List available food items based on ingredient food_items = FOOD_DATABASE[category][chat_state.ingredient] food_item_names = [item['name'] for nutrition in food_items for item in food_items[nutrition]] # Show available food items and move to nutrition selection chat_state.step = "nutrition" return f"Great! Here are the available food items for {message}:\n{', '.join(food_item_names)}\nNow, select your nutrition preference: {', '.join(NUTRITION_OPTIONS)}" # Step 4: Nutrition preference elif chat_state.step == "nutrition": nutrition = message.lower().replace(" ", "").strip() # Remove spaces and make lowercase chat_state.nutrition = nutrition category = "nonveg" if "non" in chat_state.category else "veg" ingredient = chat_state.ingredient # Try to fetch the food items from the correct category, ingredient, and nutrition preference try: food_items = FOOD_DATABASE[category][ingredient][nutrition] if not food_items: return f"Sorry, no {nutrition.replace('_', ' ').title()} dishes are available for {ingredient}." response = f"Here are some {nutrition.replace('_', ' ').title()} {ingredient} dishes for you:\n" for item in food_items: response += f"\n• {item['name']} ({item['calories']} cal, {item['protein']}g protein)\n {item['description']}" chat_state.step = "initial" # Reset for new conversation return response except KeyError: chat_state.step = "initial" # Reset for new conversation return f"Sorry, I don't have any dishes for this combination." return "I'm not sure how to help with that. Would you like to start over?" # Gradio interface for the chatbot def create_gradio_interface(): with gr.Blocks() as demo: chatbot = gr.Chatbot([]) msg = gr.Textbox(show_label=False, placeholder="Enter text and press enter") clear = gr.Button("Clear") # Function for user message input and history handling def user(user_message, history): return "", history + [[user_message, None]] # Function to handle bot's response def bot(history): user_message = history[-1][0] bot_message = process_message(user_message, history) history[-1][1] = bot_message return history msg.submit(user, [msg, chatbot], [msg, chatbot]).then(bot, chatbot, chatbot) clear.click(lambda: None, None, chatbot) return demo # Start the Gradio interface and Flask app together if __name__ == "__main__": demo = create_gradio_interface() demo.launch(share=True, inline=True) # Run Flask app app.run(debug=True, use_reloader=False)