code: def __init__(self):
      self.name = "VGGishFeatureEmbedding-v1"
      self.source_md5 = {
          "coreml": "e8ae7d8cbcabb988b6ed6c0bf3f45571",
          "tensorflow": "1ae04d42492703e75fa79304873c642a",
      }
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import os
  import sys
  import requests
  import turicreate
  import hashlib
  from six.moves.urllib import parse
label_desc: Use image node_id 1 to create a new VGGish object  with example: obj = VGGish()