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app.py

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+import gradio as gr
+import joblib
+import numpy as np
+import re
+
+# Load models
+model_flavor = joblib.load("dtc_model_flavor.pkl")
+model_topping = joblib.load("dtc_model_topping.pkl")
+model_drink = joblib.load("dtc_model_drink.pkl")
+
+# Load encoders
+encoder_flavor = joblib.load("encoder_flavor.pkl")
+encoder_topping = joblib.load("encoder_topping.pkl")
+encoder_drink = joblib.load("encoder_drink.pkl")
+input_encoders = joblib.load("input_encoders.pkl")
+
+# Function to clean emoji from text
+def clean_text(text):
+    return re.sub(r'[^\w\s]', '', text).strip().lower()
+
+# Prediction function
+def predict_merienda(mood, weather, craving_level, last_meal, budget):
+    features = [mood, weather, craving_level, last_meal, budget]
+    cleaned_features = [clean_text(val) for val in features]
+    encoded = [input_encoders[col].transform([val])[0] for col, val in zip(input_encoders.keys(), cleaned_features)]
+    encoded_np = np.array(encoded).reshape(1, -1)
+
+    pred_flavor = encoder_flavor.inverse_transform(model_flavor.predict(encoded_np))[0]
+    pred_topping = encoder_topping.inverse_transform(model_topping.predict(encoded_np))[0]
+    pred_drink = encoder_drink.inverse_transform(model_drink.predict(encoded_np))[0]
+    return pred_flavor, pred_topping, pred_drink
+
+# Dropdown options with "Choose one" first
+mood_list = ["Choose one", "😌 Busog pa", "🧘 Chill lang", "⚡ G na G", "😴 Tinatamad"]
+weather_list = ["Choose one", "🌧️ Bed weather", "🔥 Impyerno", "🍃 Mahangin", "☁️ Makulimlim"]
+craving_list = ["Choose one", "🚀 High", "🐢 Low", "🏖️ Medium", "🎉 OA"]
+last_meal_list = ["Choose one", "🪨 Heavy", "🌿 Light", "🚫 No meal"]
+budget_list = ["Choose one", "🪙 Gipit", "💸 Saks lang", "🤑 Kakadating lang ng allowance"]
+
+# Custom Theme 🎨
+custom_theme = gr.themes.Base(
+    primary_hue="rose",
+    secondary_hue="amber",
+    neutral_hue="stone",
+    font=[gr.themes.GoogleFont("Helvetica")]
+).set(
+    body_background_fill="#ffe5e5"  # Light reddish background
+)
+
+
+# Gradio Interface
+with gr.Blocks(theme=custom_theme) as iface:
+    gr.Markdown(
+        """
+        # 🍜 **Your Favorite Merienda Classifier**
+        * Pancit-cantonize your vibe to match your mood with a perfect merienda soulmate! 🌸🎉🍴🧡 
+        """
+    )
+
+    with gr.Row():
+        with gr.Column():
+            mood = gr.Dropdown(mood_list, label="🌈 Mood", value="Choose one")
+            weather = gr.Dropdown(weather_list, label="🌦️ Weather", value="Choose one")
+            craving = gr.Dropdown(craving_list, label="🔥 Craving Level", value="Choose one")
+            last_meal = gr.Dropdown(last_meal_list, label="🍽️ Last Meal", value="Choose one")
+            budget = gr.Dropdown(budget_list, label="💰 Budget", value="Choose one")
+
+            submit_btn = gr.Button("🚀 Classify Now!", variant="primary")
+
+        with gr.Column():
+            flavor = gr.Text(label="🍜 Recommended Flavor")
+            topping = gr.Text(label="🔑 Recommended Topping")
+            drink = gr.Text(label="🥤 Recommended Drink")
+
+    submit_btn.click(
+        predict_merienda,
+        inputs=[mood, weather, craving, last_meal, budget],
+        outputs=[flavor, topping, drink]
+    )
+
+iface.launch()

deployment_assets.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c63520922d21bebbb1936d928998d62a99a169d094d59e4a0815caa7f7c2704b
+size 1678

requirements (1).txt

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+gradio
+torch
+torchvision
+joblib
+Pillow

resnet_grocery_model_scripted.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0e70f385e2a24a4c62514f88a9ead2580743340a1355c28bbfdf89c2a5a76743
+size 44892341