Update app.py

app.py

@@ -24,7 +24,9 @@ def test_ml_model(longitude, latitude, housing_median_age, total_rooms, total_be
     features = {name:np.array(value) for name, value in df_test_norm.items()}
     
     result = loaded_model.predict(features)
-    return (f'predicted: {result}')
+    if result['dense'][0][0] > 0.5:
+        return 'Houses in this neighborhood above average price'
+    return 'Houses in this neighborhood below average price'
 
 demo = gr.Interface(fn=test_ml_model,
                     inputs=[gr.Number(value=0.0), gr.Number(value=0.0), gr.Number(value=0.0),