from google.cloud import speech_v1
from google.cloud.speech_v1 import enums
import json


import os


os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "Transcribe-2e49d9085e13.json"

def sample_long_running_recognize():
    """
    Transcribe long audio file from Cloud Storage using asynchronous speech
    recognition

    Args:
      storage_uri URI for audio file in Cloud Storage, e.g. gs://[BUCKET]/[FILE]
    """

    client = speech_v1.SpeechClient()

    storage_uri = 'gs://transcribe420/komunikatorvreme.flac'

    # Sample rate in Hertz of the audio data sent
    sample_rate_hertz = 44100

    # The language of the supplied audio
    language_code = "sl"

    # Encoding of audio data sent. This sample sets this explicitly.
    # This field is optional for FLAC and WAV audio formats.
    encoding = enums.RecognitionConfig.AudioEncoding.FLAC
    config = {
        "sample_rate_hertz": sample_rate_hertz,
        "language_code": language_code,
        "encoding": encoding,
    }
    audio = {"uri": storage_uri}


    print(u"Waiting for operation to complete...")
    results = client.recognize(config, audio)



    print(results)

    #results = client.recognize(config,audio)

    #print(type(results))



sample_long_running_recognize()