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import gradio as gr |
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FOOD_DATABASE = { |
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"veg": { |
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"paneer": { |
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"lowCalorie": [ |
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{"name": "Grilled Paneer Tikka", "description": "Marinated and grilled paneer cubes with spices", "calories": 180, "protein": 14}, |
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{"name": "Paneer Bhurji", "description": "Scrambled paneer with vegetables", "calories": 200, "protein": 16} |
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], |
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"highProtein": [ |
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{"name": "Protein Paneer Bowl", "description": "High protein paneer with quinoa", "calories": 320, "protein": 24}, |
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{"name": "Paneer Steak", "description": "Thick cut paneer steak with herbs", "calories": 280, "protein": 22} |
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] |
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}, |
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"mushroom": { |
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"lowCalorie": [ |
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{"name": "Grilled Mushroom Caps", "description": "Herb-stuffed mushroom caps", "calories": 120, "protein": 8}, |
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{"name": "Mushroom Soup", "description": "Creamy mushroom soup", "calories": 150, "protein": 6} |
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] |
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}, |
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"aloo": { |
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"lowCalorie": [ |
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{"name": "Baked Potato Wedges", "description": "Spiced and baked potato wedges", "calories": 160, "protein": 4}, |
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{"name": "Aloo Tikki", "description": "Spiced potato patties", "calories": 180, "protein": 3} |
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] |
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} |
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}, |
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"nonveg": { |
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"chicken": { |
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"highProtein": [ |
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{"name": "Grilled Chicken Breast", "description": "Herb-marinated grilled chicken", "calories": 250, "protein": 30}, |
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{"name": "Chicken Tikka", "description": "Tandoori spiced chicken pieces", "calories": 280, "protein": 32} |
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] |
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}, |
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"fish": { |
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"lowCalorie": [ |
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{"name": "Grilled Salmon", "description": "Lemon herb grilled salmon", "calories": 220, "protein": 25}, |
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{"name": "Steamed Fish", "description": "Ginger-garlic steamed fish", "calories": 180, "protein": 22} |
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] |
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}, |
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"mutton": { |
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"balanced": [ |
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{"name": "Mutton Curry", "description": "Traditional spiced mutton curry", "calories": 350, "protein": 28}, |
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{"name": "Grilled Lamb Chops", "description": "Herb-crusted lamb chops", "calories": 380, "protein": 32} |
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] |
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} |
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} |
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} |
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VEG_INGREDIENTS = ["Paneer", "Mushroom", "Aloo", "Brinjal", "Palak"] |
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NONVEG_TYPES = ["Chicken", "Fish", "Mutton", "Pork"] |
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NUTRITION_OPTIONS = ["Low Calorie", "High Protein", "Low Carb", "Balanced", "Gluten Free"] |
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class ChatState: |
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def __init__(self): |
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self.step = "initial" |
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self.category = "" |
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self.ingredient = "" |
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chat_state = ChatState() |
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def process_message(message, history): |
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if chat_state.step == "initial": |
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if "yes" in message.lower() or "yeah" in message.lower(): |
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chat_state.step = "category" |
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return "Great! Please select your preferred category: Vegetarian, Non-Vegetarian." |
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return "I'm here to help you customize your food. Would you like to proceed? (Yes/No)" |
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elif chat_state.step == "category": |
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chat_state.category = message.lower() |
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chat_state.step = "ingredient" |
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if "vegetarian" in message.lower(): |
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return f"Great! What main ingredient would you like? Available options: {', '.join(VEG_INGREDIENTS)}" |
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elif "non-vegetarian" in message.lower(): |
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return f"Great! What type of meat would you prefer? Available options: {', '.join(NONVEG_TYPES)}" |
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return "Please select either Vegetarian, Non-Vegetarian" |
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elif chat_state.step == "ingredient": |
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chat_state.ingredient = message.lower() |
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chat_state.step = "nutrition" |
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return f"Perfect! Now, select your nutrition preference: {', '.join(NUTRITION_OPTIONS)}" |
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elif chat_state.step == "nutrition": |
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nutrition = message.lower().replace(" ", "") |
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category = "nonveg" if "non" in chat_state.category else "veg" |
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ingredient = chat_state.ingredient |
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try: |
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food_items = FOOD_DATABASE[category][ingredient][nutrition] |
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response = f"Here are some {message} {ingredient} dishes for you:\n" |
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for item in food_items: |
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response += f"\n• {item['name']} ({item['calories']} cal, {item['protein']}g protein)\n {item['description']}" |
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chat_state.step = "initial" |
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return response |
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except KeyError: |
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chat_state.step = "initial" |
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return f"Sorry, I don't have any dishes for this combination." |
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return "I'm not sure how to help with that. Would you like to start over?" |
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def create_gradio_interface(): |
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with gr.Blocks() as demo: |
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chatbot = gr.Chatbot([]) |
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msg = gr.Textbox(show_label=False, placeholder="Enter text and press enter") |
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clear = gr.Button("Clear") |
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def user(user_message, history): |
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return "", history + [[user_message, None]] |
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def bot(history): |
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user_message = history[-1][0] |
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bot_message = process_message(user_message, history) |
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history[-1][1] = bot_message |
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return history |
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msg.submit(user, [msg, chatbot], [msg, chatbot]).then(bot, chatbot, chatbot) |
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clear.click(lambda: None, None, chatbot) |
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return demo |
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if __name__ == "__main__": |
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demo = create_gradio_interface() |
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demo.launch(share=True) |
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