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| import gradio as gr | |
| # Step 1: Greeting the user and asking if they'd like to customize food | |
| def start_conversation(user_input): | |
| # Checking if the input is a positive response | |
| if user_input.lower() in ["yes", "yeah"]: | |
| return "Great! Please select a food category:" | |
| else: | |
| return "Okay, let me know if you change your mind!" | |
| # Step 2: Show categories based on the user's interest | |
| def select_category(selected_category): | |
| categories = { | |
| "Veg": "Great! You selected Veg. Now, please select your nutrition preference.", | |
| "Non-Veg": "Great! You selected Non-Veg. Now, please select your nutrition preference.", | |
| "Vegan": "Great! You selected Vegan. Now, please select your nutrition preference.", | |
| "Pasta & Noodles": "Great! You selected Pasta & Noodles. Now, please select your nutrition preference.", | |
| "Breads & Baked Goods": "Great! You selected Breads & Baked Goods. Now, please select your nutrition preference." | |
| } | |
| return categories.get(selected_category, "Please select a valid category.") | |
| # Step 3: Show nutrition options based on the selected category | |
| def select_nutrition(selected_nutrition): | |
| nutrition_options = { | |
| "Protein Rich": "Now, please select ingredients from the list below.", | |
| "Low Carbs": "Now, please select ingredients from the list below.", | |
| "Gluten-Free": "Now, please select ingredients from the list below." | |
| } | |
| return nutrition_options.get(selected_nutrition, "Please select a valid nutrition option.") | |
| # Step 4: Show ingredients based on the category and nutrition selection | |
| def show_ingredients(selected_category, selected_nutrition): | |
| # Ingredients based on category and nutrition preference | |
| ingredients = { | |
| "Veg": ["Paneer", "Potato", "Cabbage", "Gobi"], | |
| "Non-Veg": ["Chicken", "Fish", "Mutton"], | |
| "Vegan": ["Tofu", "Tempeh", "Seitan"], | |
| "Pasta & Noodles": ["Whole Wheat Pasta", "Rice Noodles"], | |
| "Breads & Baked Goods": ["Whole Grain Bread", "Gluten-Free Bread"] | |
| } | |
| return f"Here are the ingredients available for {selected_category} with {selected_nutrition} option: " + ", ".join(ingredients.get(selected_category, [])) | |
| # Step 5: Show dishes based on the selected ingredient | |
| def show_dishes(selected_ingredient): | |
| dishes = { | |
| "Paneer": ["Paneer Tikka", "Paneer Curry", "Paneer Manchurian", "Paneer Butter Masala"], | |
| "Potato": ["Aloo Dal", "Potato and Chickpea Salad", "Paneer-Stuffed Potatoes", "Potato and Black Bean Tacos"], | |
| "Cabbage": ["Cabbage and Chickpea Curry", "Cabbage Stir-Fry with Tofu", "Cabbage and Lentil Soup"], | |
| "Chicken": ["Grilled Chicken Breast", "Chicken Tikka Masala", "Chicken Stir-Fry", "Chicken Biryani"], | |
| "Fish": ["Grilled Salmon", "Fish Curry", "Baked Fish with Herbs", "Fish Tacos"], | |
| "Mutton": ["Mutton Curry", "Mutton Biryani", "Grilled Lamb Chops", "Mutton Rogan Josh"], | |
| "Tofu": ["Tofu Stir-Fry", "Crispy Tofu Nuggets", "Tofu Scramble", "Tofu Curry"], | |
| "Tempeh": ["Tempeh Bacon", "BBQ Tempeh", "Tempeh Stir-Fry", "Marinated Tempeh"], | |
| "Seitan": ["Seitan Steak", "Seitan Wings", "Seitan Stir-Fry", "Seitan Curry"] | |
| } | |
| return f"Based on your selection, here are the food items you can make: " + ", ".join(dishes.get(selected_ingredient, [])) | |
| # Gradio interface setup | |
| def create_gradio_interface(): | |
| # Step-by-step interaction using Gradio components | |
| with gr.Blocks() as demo: | |
| gr.Markdown("# Food Customization Assistant") | |
| gr.Markdown("Talk to the bot and customize your food preferences based on category.") | |
| # Greeting Step | |
| user_input = gr.Textbox(label="Your Message", placeholder="Type 'yes' or 'yeah' to begin.", lines=1) | |
| bot_response = gr.Textbox(label="Bot Response", lines=2) | |
| # First interaction: Ask user if they want to customize food | |
| user_input.submit(start_conversation, user_input, bot_response) | |
| # Category Selection | |
| category_dropdown = gr.Dropdown( | |
| choices=["Veg", "Non-Veg", "Vegan", "Pasta & Noodles", "Breads & Baked Goods"], | |
| label="Select Food Category" | |
| ) | |
| category_dropdown.change(select_category, category_dropdown, bot_response) | |
| # Nutrition Preferences | |
| nutrition_dropdown = gr.Dropdown( | |
| choices=["Protein Rich", "Low Carbs", "Gluten-Free"], | |
| label="Select Nutrition Preference" | |
| ) | |
| nutrition_dropdown.change(select_nutrition, nutrition_dropdown, bot_response) | |
| # Show Ingredients based on category & nutrition | |
| ingredients_output = gr.Textbox(label="Ingredients List", lines=2) | |
| ingredients_output.change(show_ingredients, [category_dropdown, nutrition_dropdown], ingredients_output) | |
| # Ingredient Selection | |
| ingredient_dropdown = gr.Dropdown(label="Select Ingredient") | |
| ingredient_dropdown.change(show_dishes, ingredient_dropdown, bot_response) | |
| # Start Gradio Interface | |
| demo.launch() | |
| if __name__ == "__main__": | |
| create_gradio_interface() | |