code: def get_label_vocab(vocab_path):
      """Returns a list of label strings loaded from the provided 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:
              logging.error("error reading vocab file: %s", err)
      return []
  
imports: from __future__ import division
  from __future__ import print_function
  import collections
  import copy
  import json
  import math
  from absl import logging
  import numpy
  import tensorflow
  from google.protobuf import json_format
  from six import binary_type, string_types, integer_types
  from six import iteritems
  from six.moves import zip
  from inspect import signature
  from utils import common_utils
  from utils import platform_utils
  from tensorflow_serving.apis import classification_pb2
  from tensorflow_serving.apis import inference_pb2
  from tensorflow_serving.apis import regression_pb2
label_desc: Use image node_id 17 for calling a global function with example usage: get_label_vocab(vocab_path) and returns: list, unknown