Update app.py

app.py

@@ -20,7 +20,7 @@ def test_ml_model(longitude, latitude, housing_median_age, total_rooms, total_be
     df_test = pd.DataFrame(data=[[longitude, latitude, housing_median_age,
                             total_rooms, total_bedrooms, population,
                             households, median_income, median_house_value]], columns=data_heading)
-    df_test_norm = pd.DataFrame(scaler(df_test), columns=data_heading)
+    df_test_norm = pd.DataFrame(scaler.fit_transform(df_test), columns=data_heading)
     features = {name:np.array(value) for name, value in df_test_norm.items()}
     
     result = loaded_model.predict(features)