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app.py
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import gradio as gr
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import joblib
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import numpy as np
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# Load models
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model_flavor = joblib.load("xgb_model_flavor.pkl")
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model_topping = joblib.load("xgb_model_topping.pkl")
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model_drink = joblib.load("xgb_model_drink.pkl")
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# Load encoders
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encoder_flavor = joblib.load("encoder_flavor.pkl")
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encoder_topping = joblib.load("encoder_topping.pkl")
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encoder_drink = joblib.load("encoder_drink.pkl")
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input_encoders = joblib.load("input_encoders.pkl")
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# Prediction function
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def predict_merienda(mood, weather, craving_level, last_meal, budget):
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features = [mood, weather, craving_level, last_meal, budget]
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encoded = [input_encoders[col].transform([val])[0] for col, val in zip(input_encoders.keys(), features)]
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encoded_np = np.array(encoded).reshape(1, -1)
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pred_flavor = encoder_flavor.inverse_transform(model_flavor.predict(encoded_np))[0]
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pred_topping = encoder_topping.inverse_transform(model_topping.predict(encoded_np))[0]
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pred_drink = encoder_drink.inverse_transform(model_drink.predict(encoded_np))[0]
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return pred_flavor, pred_topping, pred_drink
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# Dropdown options
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mood_list = input_encoders["mood"].classes_.tolist()
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weather_list = input_encoders["weather"].classes_.tolist()
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craving_list = input_encoders["craving_level"].classes_.tolist()
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last_meal_list = input_encoders["last_meal"].classes_.tolist()
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budget_list = input_encoders["budget"].classes_.tolist()
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# Gradio Interface
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iface = gr.Interface(
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fn=predict_merienda,
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inputs=[
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gr.Dropdown(mood_list, label="Mood"),
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gr.Dropdown(weather_list, label="Weather"),
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gr.Dropdown(craving_list, label="Craving Level"),
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gr.Dropdown(last_meal_list, label="Last Meal"),
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gr.Dropdown(budget_list, label="Budget"),
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],
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outputs=[
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gr.Text(label="Recommended Flavor"),
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gr.Text(label="Recommended Topping"),
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gr.Text(label="Recommended Drink"),
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],
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title=" Merienda Classifier",
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description="Predicts the best pancit canton flavor, topping, and drink based on your current situation"
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)
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iface.launch()
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