--model

model.py

@@ -29,4 +29,4 @@ model.compile(optimizer='adam', loss='mse')
 model.fit(X_train_scaled, y_train, epochs=50, batch_size=32, validation_data=(X_test_scaled, y_test))
 
 # Save the trained model
-model.save('emotion_model')
+model.save('models/emotion_model.h5')