How can I show a prediction of trained images in subfolders for such as face mask or no face mask using colab?

Question

Using colab

The image is folder and inside it is subfolders and inside it are images

  model.compile(loss='binary_crossentropy',
          optimizer=optimizers.RMSprop(learning_rate=2e-4),
          metrics=['acc'])
   history = model.fit(train_generator,
                          batch_size=64,
                          epochs=10)
   model.save('model.h5')