Create app.py

app.py

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+import gradio as gr
+import joblib
+import numpy as np
+
+# Load the model
+model = joblib.load("train_model.pkl")
+
+# Define input handler
+def predict_price(make_year, mileage_kmpl, engine_cc, owner_count, accidents_reported,
+                  fuel_type, brand, transmission, color, insurance_valid):
+
+    # One-hot encoding
+    fuel_dict = {'Diesel': [1, 0, 0], 'Electric': [0, 1, 0], 'Petrol': [0, 0, 1]}
+    brand_dict = {
+        'BMW': [1,0,0,0,0,0,0,0,0,0],
+        'Chevrolet': [0,1,0,0,0,0,0,0,0,0],
+        'Ford': [0,0,1,0,0,0,0,0,0,0],
+        'Honda': [0,0,0,1,0,0,0,0,0,0],
+        'Hyundai': [0,0,0,0,1,0,0,0,0,0],
+        'Kia': [0,0,0,0,0,1,0,0,0,0],
+        'Nissan': [0,0,0,0,0,0,1,0,0,0],
+        'Tesla': [0,0,0,0,0,0,0,1,0,0],
+        'Toyota': [0,0,0,0,0,0,0,0,1,0],
+        'Volkswagen': [0,0,0,0,0,0,0,0,0,1]
+    }
+    trans_dict = {'Automatic': [1, 0], 'Manual': [0, 1]}
+    color_dict = {
+        'Black':[1,0,0,0,0,0], 'Blue':[0,1,0,0,0,0], 'Gray':[0,0,1,0,0,0],
+        'Red':[0,0,0,1,0,0], 'Silver':[0,0,0,0,1,0], 'White':[0,0,0,0,0,1]
+    }
+    insurance_dict = {'No': [1, 0], 'Yes': [0, 1]}
+
+    # Combine all features
+    features = [
+        make_year, mileage_kmpl, engine_cc, owner_count, accidents_reported
+    ] + fuel_dict[fuel_type] + brand_dict[brand] + trans_dict[transmission] + color_dict[color] + insurance_dict[insurance_valid]
+
+    prediction = model.predict([features])[0]
+    return round(prediction, 2)
+
+# Gradio UI
+gr.Interface(
+    fn=predict_price,
+    inputs=[
+        gr.Number(label="Make Year"),
+        gr.Number(label="Mileage (km/l)"),
+        gr.Number(label="Engine Capacity (cc)"),
+        gr.Slider(1, 5, step=1, label="Owner Count"),
+        gr.Slider(0, 10, step=1, label="Accidents Reported"),
+        gr.Radio(choices=["Diesel", "Electric", "Petrol"], label="Fuel Type"),
+        gr.Dropdown(choices=[
+            'BMW', 'Chevrolet', 'Ford', 'Honda', 'Hyundai', 'Kia', 'Nissan', 'Tesla', 'Toyota', 'Volkswagen'
+        ], label="Brand"),
+        gr.Radio(choices=["Automatic", "Manual"], label="Transmission"),
+        gr.Dropdown(choices=["Black", "Blue", "Gray", "Red", "Silver", "White"], label="Color"),
+        gr.Radio(choices=["Yes", "No"], label="Insurance Valid")
+    ],
+    outputs=gr.Number(label="Predicted Price ($)"),
+    title="🚗 Used Car Price Prediction"
+).launch()