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| from transformers import pipeline | |
| import gradio as gr | |
| def generate_recommendations(party_on_weekends=None, flavor_preference=None, texture_dislike=None, price_range=None): | |
| # Define the list of ingredients | |
| ingredients = ["oranges", "apples", "pears", "grapes", "watermelon", "lemon", "lime"] | |
| # Apply the rules based on user answers | |
| allowed_fruits = ingredients.copy() | |
| if party_on_weekends == "yes": | |
| allowed_fruits = list(set(allowed_fruits) & set(["apples", "pears", "grapes", "watermelon"])) | |
| if flavor_preference == "cider": | |
| allowed_fruits = list(set(allowed_fruits) & set(["apples", "oranges", "lemon", "lime"])) | |
| elif flavor_preference == "sweet": | |
| allowed_fruits = list(set(allowed_fruits) & set(["watermelon", "oranges"])) | |
| elif flavor_preference == "waterlike": | |
| allowed_fruits = list(set(allowed_fruits) & set(["watermelon"])) | |
| if "grapes" in allowed_fruits: | |
| allowed_fruits.remove("watermelon") | |
| if texture_dislike == "smooth": | |
| if "pears" in allowed_fruits: | |
| allowed_fruits.remove("pears") | |
| elif texture_dislike == "slimy": | |
| slimy_fruits = ["watermelon", "lime", "grapes"] | |
| allowed_fruits = list(set(allowed_fruits) - set(slimy_fruits)) | |
| elif texture_dislike == "waterlike": | |
| if "watermelon" in allowed_fruits: | |
| allowed_fruits.remove("watermelon") | |
| if price_range is not None: | |
| if price_range < 3: | |
| if "lime" in allowed_fruits: | |
| allowed_fruits.remove("lime") | |
| if "watermelon" in allowed_fruits: | |
| allowed_fruits.remove("watermelon") | |
| elif 4 < price_range < 7: | |
| if "pears" in allowed_fruits: | |
| allowed_fruits.remove("pears") | |
| if "apples" in allowed_fruits: | |
| allowed_fruits.remove("apples") | |
| return allowed_fruits | |
| def recommend_fruits(party_answer="", flavor_answer="", texture_answer="", price_answer=None): | |
| # Combine the answers dynamically | |
| combined_answers = { | |
| "Do you go out to party on weekends? (yes or no)": party_answer, | |
| "What flavors do you like? (cider, sweet, waterlike)": flavor_answer, | |
| "What texture do you dislike? (smooth, slimy, waterlike)": texture_answer, | |
| "What price range will you buy a drink for? ($1-$10)": price_answer | |
| } | |
| # Generate recommendations based on combined answers | |
| recommendations = generate_recommendations(**combined_answers) | |
| return "Recommended fruits: " + str(recommendations) | |
| def clear_output(): | |
| # You can customize the behavior of clearing the output if needed | |
| return "" | |
| iface = gr.Interface(fn=recommend_fruits, | |
| inputs=["text", "text", "text", "number"], | |
| outputs="text", | |
| live=True | |
| ) # Adjust the refresh rate here (in seconds) | |
| # Add a clear button to reset the output | |
| iface.launch(share=True, debug=True) | |