text: import tensorflow as tf
  import time
  import os
  
  def get_unique_filename(filename):
      unique_filename = time.strftime(f"_%Y%m%dT%H%M%S_{filename}")
      return unique_filename
  
  
  def save_model(model, model_name,model_dir):
      unique_filename = get_unique_filename(model_name)
      path_to_model = os.path.join(model_dir, unique_filename)
      model.save(path_to_model)
  
  
  def create_model(LOSS_FUNCTION, OPTIMIZER, METRICS, NUM_CLASSES):
      LAYERS = [tf.keras.layers.Flatten(input_shape=[28, 28], name="inputLayer"),
                tf.keras.layers.Dense(300, activation="relu", name="hiddenLayer1"),
                tf.keras.layers.Dense(100, activation="relu", name="hiddenLayer2"),
                tf.keras.layers.Dense(NUM_CLASSES, activation="softmax", name="outputLayer")]
  
      model_clf = tf.keras.models.Sequential(LAYERS)
  
      model_clf.summary()
  
      model_clf.compile(loss=LOSS_FUNCTION,
                        optimizer=OPTIMIZER,
                        metrics=METRICS)
  
      return model_clf  ## <<< untrained model
  