api.py

# import io
# import os
# import google.api_core.exceptions
# # from google.cloud import speech
# from google.cloud import speech_v1 as speech
#
# # Moved to models.Transcript
# def get_transcript(filepath, encoding=speech.enums.RecognitionConfig.AudioEncoding.ENCODING_UNSPECIFIED,
#                    sample_rate=44100, language_code='sv-SE', automatic_punctuation=False):
#
#     client = speech.SpeechClient()
#
#     with io.open(filepath, 'rb') as f:
#         content = f.read()
#
#     audio = speech.types.RecognitionAudio(content=content)
#
#     config = speech.types.RecognitionConfig(encoding=encoding, sample_rate_hertz=sample_rate,
#                                             language_code=language_code, enable_automatic_punctuation=automatic_punctuation)
#
#     # config = {
#     #     'enable_automatic_punctuation': automatic_punctuation, 'encoding': encoding, 'sample_rate_hertz': sample_rate
#     # }
#     # with io.open(filepath, 'rb') as f:
#         # audio = {'content': f.read()}
#     result = client.recognize(config, audio)
#
#     transcript = ''
#     confidence = 0
#     for r in result.results:
#         confidence = r.alternatives[0].confidence
#         transcript += r.alternatives[0].transcript
#         # print(u'Transcript: {}\nConfidence: {}'.format(r.alternatives[0].transcript, r.alternatives[0].confidence))
#     return transcript, confidence
#
#
# if __name__ == '__main__':
#     print(get_transcript('static/mp3/12/30_6760912.0002.mp3', automatic_punctuation=True))
#     # sample_recognize('static/mp3/12/30_6760912.0000.mp3')