old_contents: # -*- coding: utf-8 -*-
  #
  # Copyright 2020 Google LLC
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     https://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  # DO NOT EDIT! This is a generated sample ("Request",  "speech_transcribe_enhanced_model")
  
  # To install the latest published package dependency, execute the following:
  #   pip install google-cloud-speech
  
  # sample-metadata
  #   title: Using Enhanced Models (Local File)
  #   description: Transcribe a short audio file using an enhanced model
  #   usage: python3 samples/v1/speech_transcribe_enhanced_model.py [--local_file_path "resources/hello.wav"]
  
  # [START speech_transcribe_enhanced_model]
  from google.cloud import speech_v1
  import io
  
  
  def sample_recognize(local_file_path):
      """
      Transcribe a short audio file using an enhanced model
  
      Args:
        local_file_path Path to local audio file, e.g. /path/audio.wav
      """
  
      client = speech_v1.SpeechClient()
  
      # local_file_path = 'resources/hello.wav'
  
      # The enhanced model to use, e.g. phone_call
      # Currently phone_call is the only model available as an enhanced model.
      model = "phone_call"
  
      # Use an enhanced model for speech recognition (when set to true).
      # Project must be eligible for requesting enhanced models.
      # Enhanced speech models require that you opt-in to data logging.
      use_enhanced = True
  
      # The language of the supplied audio
      language_code = "en-US"
      config = {
          "model": model,
          "use_enhanced": use_enhanced,
          "language_code": language_code,
      }
      with io.open(local_file_path, "rb") as f:
          content = f.read()
      audio = {"content": content}
  
      response = client.recognize(config, audio)
      for result in response.results:
          # First alternative is the most probable result
          alternative = result.alternatives[0]
          print(u"Transcript: {}".format(alternative.transcript))
  
  
  # [END speech_transcribe_enhanced_model]
  
  
  def main():
      import argparse
  
      parser = argparse.ArgumentParser()
      parser.add_argument("--local_file_path", type=str, default="resources/hello.wav")
      args = parser.parse_args()
  
      sample_recognize(args.local_file_path)
  
  
  if __name__ == "__main__":
      main()
  
new_contents: # -*- coding: utf-8 -*-
  #
  # Copyright 2020 Google LLC
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     https://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  # DO NOT EDIT! This is a generated sample ("Request",  "speech_transcribe_enhanced_model")
  
  # To install the latest published package dependency, execute the following:
  #   pip install google-cloud-speech
  
  # sample-metadata
  #   title: Using Enhanced Models (Local File)
  #   description: Transcribe a short audio file using an enhanced model
  #   usage: python3 samples/v1/speech_transcribe_enhanced_model.py [--local_file_path "resources/hello.wav"]
  
  # [START speech_transcribe_enhanced_model]
  from google.cloud import speech_v1
  import io
  
  
  def sample_recognize(local_file_path):
      """
      Transcribe a short audio file using an enhanced model
  
      Args:
        local_file_path Path to local audio file, e.g. /path/audio.wav
      """
  
      client = speech_v1.SpeechClient()
  
      # local_file_path = 'resources/hello.wav'
  
      # The enhanced model to use, e.g. phone_call
      model = "phone_call"
  
      # Use an enhanced model for speech recognition (when set to true).
      # Project must be eligible for requesting enhanced models.
      # Enhanced speech models require that you opt-in to data logging.
      use_enhanced = True
  
      # The language of the supplied audio
      language_code = "en-US"
      config = {
          "model": model,
          "use_enhanced": use_enhanced,
          "language_code": language_code,
      }
      with io.open(local_file_path, "rb") as f:
          content = f.read()
      audio = {"content": content}
  
      response = client.recognize(config, audio)
      for result in response.results:
          # First alternative is the most probable result
          alternative = result.alternatives[0]
          print(u"Transcript: {}".format(alternative.transcript))
  
  
  # [END speech_transcribe_enhanced_model]
  
  
  def main():
      import argparse
  
      parser = argparse.ArgumentParser()
      parser.add_argument("--local_file_path", type=str, default="resources/hello.wav")
      args = parser.parse_args()
  
      sample_recognize(args.local_file_path)
  
  
  if __name__ == "__main__":
      main()
  
subject: remove erroneous comment (#17)