code: def get_label_vocab(vocab_path):
    
    if vocab_path:
      try:
        with tf.io.gfile.GFile(vocab_path, 'r') as f:
          return [line.rstrip('\n') for line in f]
      except tf.errors.NotFoundError as err:
        tf.logging.error('error reading vocab file: %s', err)
    return []
docs: Returns a list of label strings loaded from the provided path.