reco small refactor

src/reco.py

@@ -20,7 +20,6 @@ def main(args):
     batch_size = int(args.batch_size)
     waves = getWavList(col, batch_size)
     uris = [w['gcsWawLocation'] for w in waves]
-    print(uris)
 
     start = time.perf_counter()
     with concurrent.futures.ThreadPoolExecutor(max_workers=64) as executor:
@@ -64,26 +63,8 @@ def recognize(storage_uri):
       storage_uri URI for audio file in Cloud Storage, e.g. gs://[BUCKET]/[FILE]
     """
 
-    # client = speech_v1.SpeechClient()
     client = speech_v1p1beta1.SpeechClient()
-    # storage_uri = 'gs://cloud-samples-data/speech/brooklyn_bridge.raw'
 
-    # Sample rate in Hertz of the audio data sent
-    sample_rate_hertz = 44100
-
-    # The language of the supplied audio
-    language_code = "pl-PL"
-
-    # Encoding of audio data sent. This sample sets this explicitly.
-    # This field is optional for FLAC and WAV audio formats.
-    encoding = enums.RecognitionConfig.AudioEncoding.LINEAR16
-    enable_speaker_diarization = True
-    # config = {
-    # "sample_rate_hertz": sample_rate_hertz,
-    #    "language_code": language_code,
-    #    "encoding": encoding,
-    #    "enableSpeakerDiarization": enable_speaker_diarization
-    #
     d_config = types.SpeakerDiarizationConfig(
         enable_speaker_diarization=True
     )