text: from keras.models import load_model
  from data import data_iterator
  
  batch_size = 32
  epochs = 40
  steps_per_epoch = 2000 / batch_size
  
  model = load_model("model")
  
  model.fit_generator(generator=data_iterator(batch_size=batch_size),
                      steps_per_epoch=steps_per_epoch,
                      epochs=epochs)
  
  model.save("model")
  