Why does my python script not recognize speech from audio file? - google-cloud-speech

Question

I have the following piece of code successfully recognizing short (less than 1 min) test audio file, but failing with recognition another long audiofile (1.5h).
from google.cloud import speech
def run_quickstart():
speech_client = speech.Client()
sample = speech_client.sample(source_uri="gs://linear-arena-2109/zoom0070.flac", encoding=speech.Encoding.FLAC)
alternatives = sample.recognize('uk-UA')
for alternative in alternatives:
print(u'Transcript: {}'.format(alternative.transcript))
with open("Output.txt", "w") as text_file:
for alternative in alternatives:
text_file.write(alternative.transcript.encode('utf8'))
if __name__ == '__main__':
run_quickstart()
Both files are uploaded to Google Cloud.
The first one:
https://storage.googleapis.com/linear-arena-2109/sample.flac
The second one:
https://storage.googleapis.com/linear-arena-2109/zoom0070.flac
Both were converted from mp3 with ffmpeg utility:
ffmpeg -i sample.mp3 -ac 1 sample.flac
ffmpeg -i zoom0070.mp3 -ac 1 zoom0070.flac
First file was successfully recognized, but second file outputs the following error:
google.gax.errors.RetryError: GaxError(Exception occurred in retry method that was not classified as transient, caused by <_Rendezvous of RPC that terminated with (StatusCode.INVALID_ARGUMENT, Sync input too long. For audio longer than 1 min use LongRunningRecognize with a 'uri' parameter.)>)
But I have already used uri parameter in my python script. What is wrong?
update
#NieDzejkob helped to understand the error. So, method long_running_recognize should be used instead of recognize. The comprehensive long_running_recognize usage example can be found on the corresponding document page

Answer 1

For any audio file longer than 1 minute, you need to use Asynchronous Speech Recognition and the file has to be uploaded to Google Cloud Storage so that you can pass in a gcs_uri.
In addition, you will need to use the .long_running_recognize method in your script. An example from GCP documentation can be found here.
I realize that OP figured it out but thought it would be useful to provide an answer and generalize it a bit.