gtest.py

import io
import os

# Imports the Google Cloud client library
from google.cloud import speech

# Instantiates a client
client = speech.SpeechClient()

# The name of the audio file to transcribe
file_name = os.path.join(os.path.dirname(__file__), '2.wav')

# Loads the audio into memory
with io.open(file_name, 'rb') as audio_file:
    content = audio_file.read()
    audio = speech.RecognitionAudio(content=content)

# Specifies the audio encoding and language
config = speech.RecognitionConfig(
    encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
    language_code='en-US')

# Detects speech in the audio file
response = client.recognize(config=config, audio=audio)

# Prints the transcription of the audio
for result in response.results:
    print('Transcript: {}'.format(result.alternatives[0].transcript))