files uploaded

app.py

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+import gradio as gr
+from joblib import load
+
+# Load your saved model and scaler
+scaler = load('scaler.joblib')
+best_knn_model = load('best_knn_model.joblib')
+
+# Define the prediction function
+def predict_house_price(longitude, latitude, housing_median_age, total_rooms, total_bedrooms, population, households, median_income):
+    inputs = [[longitude, latitude, housing_median_age, total_rooms, total_bedrooms, population, households, median_income]]
+    scaled_inputs = scaler.transform(inputs)
+    prediction = best_knn_model.predict(scaled_inputs)[0]
+    return f"${prediction:,.2f}"
+
+# Define the Gradio interface
+interface = gr.Interface(
+    fn=predict_house_price,
+    inputs=[
+        gr.Number(label="Longitude"),
+        gr.Number(label="Latitude"),
+        gr.Number(label="Housing Median Age"),
+        gr.Number(label="Total Rooms"),
+        gr.Number(label="Total Bedrooms"),
+        gr.Number(label="Population"),
+        gr.Number(label="Households"),
+        gr.Number(label="Median Income")
+    ],
+    outputs=gr.Textbox(label="Predicted House Price")
+)
+
+# Launch the interface
+interface.launch()

best_knn_model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6fab9669634be48fe9ec884a81daf8e4f64ce547f85077acc9e9587bb65c4e71
+size 2518870

scaler.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:da8bc4b70df7dbfec9819d40fb94cc3bc38513731918c03057b06d6bea572dc4
+size 1431