google_cloud_speech_to_text_synchronous_audio_transcription.py

1import os
2
3# Imports the Google Cloud client library
4from google.cloud import speech
5
6
7def run_quickstart() -> speech.RecognizeResponse:
8    # Instantiates a client
9    client = speech.SpeechClient()
10
11    # The name of the audio file to transcribe
12    # gcs_uri = "gs://cloud-samples-data/speech/brooklyn_bridge.raw"
13    # For local files, you can load the data:
14    # with open("resources/audio.raw", "rb") as audio_file:
15    #     content = audio_file.read()
16
17    # Using a remote URI for the quickstart example
18    gcs_uri = "gs://cloud-samples-data/speech/brooklyn_bridge.raw"
19
20    audio = speech.RecognitionAudio(uri=gcs_uri)
21
22    config = speech.RecognitionConfig(
23        encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
24        sample_rate_hertz=16000,
25        language_code="en-US",
26    )
27
28    # Detects speech in the audio file
29    response = client.recognize(config=config, audio=audio)
30
31    for result in response.results:
32        print(f"Transcript: {result.alternatives[0].transcript}")
33
34    return response
35
36
37if __name__ == "__main__":
38    run_quickstart()