Update app.py

app.py

@@ -99,71 +99,3 @@ def process_message(message, history):
         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":
-        # Sanitize and normalize input (remove spaces, handle case)
-        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:
-            # Access food items based on category, ingredient, and nutrition preference
-            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:
-        category_btns = gr.Radio(choices=["Vegetarian", "Non-Vegetarian"], label="Select Category")
-        ingredient_btns = gr.Radio(choices=VEG_INGREDIENTS + NONVEG_TYPES, label="Select Ingredient")
-        nutrition_btns = gr.Radio(choices=NUTRITION_OPTIONS, label="Select Nutrition")
-        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
-
-        # Handle category selection and pass to the next steps
-        category_btns.change(lambda category: process_message(category, []), category_btns, chatbot)
-        ingredient_btns.change(lambda ingredient: process_message(ingredient, []), ingredient_btns, chatbot)
-        nutrition_btns.change(lambda nutrition: process_message(nutrition, []), nutrition_btns, chatbot)
-
-        msg.submit(user, [msg, chatbot], [msg, chatbot]).then(bot, chatbot, chatbot)
-        clear.click(lambda: None, None, chatbot)
-
-    return demo
-
-if __name__ == "__main__":
-    # Create Gradio interface
-    demo = create_gradio_interface()
-    demo.launch(share=True, inline=True)
-    # Run Flask app
-    app.run(debug=True, use_reloader=False)