Create app.py

app.py

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+# Filename: house_price_app.py
+
+import gradio as gr
+from sklearn.ensemble import RandomForestRegressor
+import numpy as np
+
+# Dummy training
+model = RandomForestRegressor()
+X = np.array([[1000, 2, 10], [1500, 3, 5], [2000, 4, 2]])
+y = np.array([100000, 150000, 200000])
+model.fit(X, y)
+
+def predict(area, bedrooms, age):
+    price = model.predict([[area, bedrooms, age]])
+    return round(price[0], 2)
+
+gr.Interface(
+    fn=predict,
+    inputs=[gr.Number(label="Area (sqft)"),
+            gr.Number(label="Bedrooms"),
+            gr.Number(label="Age (years)")],
+    outputs=gr.Number(label="Predicted Price"),
+    title="🏡 House Price Prediction"
+).launch()