Google Cloud Speech-to-Text Python Client

import os
from google.cloud import speech

# Set the path to your service account key file
# This is typically done via the GOOGLE_APPLICATION_CREDENTIALS environment variable.
# For local testing, you might set it in code (not recommended for production).
# os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "/path/to/your/keyfile.json"

def transcribe_audio(audio_file_path):
    client = speech.SpeechClient()

    with open(audio_file_path, "rb") as audio_file:
        content = audio_file.read()

    audio = speech.RecognitionAudio(content=content)
    config = speech.RecognitionConfig(
        encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
        sample_rate_hertz=16000,
        language_code="en-US",
    )

    try:
        response = client.recognize(config=config, audio=audio)
        for result in response.results:
            print(f"Transcript: {result.alternatives[0].transcript}")
    except Exception as e:
        print(f"An error occurred: {e}")

# Example usage (replace with your actual audio file)
if __name__ == "__main__":
    # Make sure you have an audio file named 'audio.wav' (16-bit, 16000 Hz, mono WAV)
    # and that GOOGLE_APPLICATION_CREDENTIALS is set up.
    # For testing, create a dummy WAV file or use a real one.
    # e.g., using `scipy.io.wavfile.write('audio.wav', 16000, np.zeros(16000, dtype=np.int16))`
    # Or, for a real test, ensure you have a small audio.wav file.
    # You must have a service account key file and set the GOOGLE_APPLICATION_CREDENTIALS
    # environment variable pointing to it, or pass credentials explicitly.
    # e.g., export GOOGLE_APPLICATION_CREDENTIALS="/path/to/your/keyfile.json"

    # This example assumes a 'test.wav' file exists in the same directory
    # and is a LINEAR16 (16-bit PCM), 16000 Hz, mono WAV file.
    # Create a dummy file for demonstration if needed:
    # import numpy as np
    # from scipy.io.wavfile import write as write_wav
    # write_wav('test.wav', 16000, np.zeros(16000, dtype=np.int16))

    # Placeholder for a real audio file path
    # In a real scenario, ensure this file exists and is correctly formatted.
    # For this quickstart, you might use a short, simple WAV file.
    audio_test_file = "test.wav"
    print(f"Attempting to transcribe: {audio_test_file}")
    print("Ensure GOOGLE_APPLICATION_CREDENTIALS is set and the file exists and is LINEAR16, 16000 Hz, mono.")
    transcribe_audio(audio_test_file)