Update app.py

app.py

@@ -46,19 +46,19 @@ def predict_new_values(new_input_data):
         # Scale the new input data
         new_input_scaled = scaler_X.transform(new_input_data)
         print(f"Scaled Input Data: {new_input_scaled}")
-        
+
         # Make predictions with both base models
         mlp_predictions_new = loaded_mlp_model.predict(new_input_scaled)
         rf_predictions_new = loaded_rf_model.predict(new_input_scaled)
-        
+
         # Combine the predictions
         combined_features_new = np.concatenate([mlp_predictions_new, rf_predictions_new], axis=1)
         print(f"Combined Features: {combined_features_new}")
-        
+
         # Use the loaded meta model to make predictions on the new data
         loaded_meta_predictions_new = loaded_meta_model.predict(combined_features_new)
         print(f"Meta Model Predictions: {loaded_meta_predictions_new}")
-        
+
         return loaded_meta_predictions_new[0]
     except Exception as e:
         print(f"Error in prediction: {e}")