original_docstring: Transcribe the given audio file asynchronously.
docstring: Transcribe the given audio file asynchronously.
docstring_tokens: Transcribe the given audio file asynchronously .
code: def long_audio(audio_path, channels):
      """Transcribe the given audio file asynchronously."""
  
      client = speech.SpeechClient()
  
      with io.open(audio_path, "rb") as audio_file:
          content = audio_file.read()
  
      """
       Note that transcription is limited to a 60 seconds audio file.
       Use a GCS (Google Cloud Storage) file for audio longer than 1 minute.
      """
      audio = speech.RecognitionAudio(content=content)
  
      config = speech.RecognitionConfig(
          encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
          audio_channel_count=channels,
          # sample_rate_hertz=16000,
          language_code="en-US",
      )
  
      operation = client.long_running_recognize(config=config, audio=audio)
  
      print("Waiting for operation to complete...")
      response = operation.result(timeout=180)
  
      # Each result is for a consecutive portion of the audio. Iterate through
      # them to get the transcripts for the entire audio file.
      for result in response.results:
          # The first alternative is the most likely one for this portion.
          print(u"Transcript: {}".format(result.alternatives[0].transcript))
          print("Confidence: {}".format(result.alternatives[0].confidence))
code_tokens: def long_audio ( audio_path , channels ) : client = speech . SpeechClient ( ) with io . open ( audio_path , "rb" ) as audio_file : content = audio_file . read ( ) """
       Note that transcription is limited to a 60 seconds audio file.
       Use a GCS (Google Cloud Storage) file for audio longer than 1 minute.
      """ audio = speech . RecognitionAudio ( content = content ) config = speech . RecognitionConfig ( encoding = speech . RecognitionConfig . AudioEncoding . LINEAR16 , audio_channel_count = channels , language_code = "en-US" , ) operation = client . long_running_recognize ( config = config , audio = audio ) print ( "Waiting for operation to complete..." ) response = operation . result ( timeout = 180 ) for result in response . results : print ( u"Transcript: {}" . format ( result . alternatives [ 0 ] . transcript ) ) print ( "Confidence: {}" . format ( result . alternatives [ 0 ] . confidence ) )
short_docstring: Transcribe the given audio file asynchronously.
short_docstring_tokens: Transcribe the given audio file asynchronously .
comment: """Transcribe the given audio file asynchronously."""$SEP$"""
       Note that transcription is limited to a 60 seconds audio file.
       Use a GCS (Google Cloud Storage) file for audio longer than 1 minute.
      """$SEP$# sample_rate_hertz=16000,$SEP$# Each result is for a consecutive portion of the audio. Iterate through$SEP$# them to get the transcripts for the entire audio file.$SEP$# The first alternative is the most likely one for this portion.