218bc5980ee488f5ac2ddfb9d3c67b8ba5b3fd69,speech/cloud-client/transcribe_streaming.py,,transcribe_streaming,#Any#,29

Before Change

    speech_client = speech.Client()

    with io.open(stream_file, "rb") as audio_file:
        audio_sample = speech_client.sample(
            stream=audio_file,
            encoding=speech.encoding.Encoding.LINEAR16,
            sample_rate_hertz=16000)
        alternatives = audio_sample.streaming_recognize("en-US")

        for alternative in alternatives:
            print("Finished: {}".format(alternative.is_final))
            print("Stability: {}".format(alternative.stability))
            print("Confidence: {}".format(alternative.confidence))
            print("Transcript: {}".format(alternative.transcript))


if __name__ == "__main__":
    parser = argparse.ArgumentParser(
        description=__doc__,
        formatter_class=argparse.RawDescriptionHelpFormatter)

After Change

    // In practice, stream should be a generator yielding chunks of audio data.
    stream = [content]
    requests = (types.StreamingRecognizeRequest(audio_content=chunk)
                for chunk in stream)

    config = types.RecognitionConfig(
        encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16,
        sample_rate_hertz=16000,
        language_code="en-US")
    streaming_config = types.StreamingRecognitionConfig(config=config)

    // streaming_recognize returns a generator.
    // [START migration_streaming_response]
    responses = client.streaming_recognize(streaming_config, requests)
    // [END migration_streaming_request]

    for response in responses:
        for result in response.results:
            print("Finished: {}".format(result.is_final))
            print("Stability: {}".format(result.stability))
            alternatives = result.alternatives
            for alternative in alternatives:
                print("Confidence: {}".format(alternative.confidence))
                print("Transcript: {}".format(alternative.transcript))
    // [END migration_streaming_response]


if __name__ == "__main__":
    parser = argparse.ArgumentParser(
        description=__doc__,
        formatter_class=argparse.RawDescriptionHelpFormatter)

Instances