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Fixes on recognize_amazon #689

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Fixes on recognize_amazon #689

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12 changes: 6 additions & 6 deletions speech_recognition/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1120,7 +1120,7 @@ def recognize_houndify(self, audio_data, client_id, client_key, show_all=False):
raise UnknownValueError()
return result['Disambiguation']['ChoiceData'][0]['Transcription'], result['Disambiguation']['ChoiceData'][0]['ConfidenceScore']

def recognize_amazon(self, audio_data, bucket_name=None, access_key_id=None, secret_access_key=None, region=None, job_name=None, file_key=None):
def recognize_amazon(self, audio_data, bucket_name=None, access_key_id=None, secret_access_key=None, region=None, job_name=None, language='en-US'):
"""
Performs speech recognition on ``audio_data`` (an ``AudioData`` instance) using Amazon Transcribe.
https://aws.amazon.com/transcribe/
Expand Down Expand Up @@ -1168,11 +1168,11 @@ def recognize_amazon(self, audio_data, bucket_name=None, access_key_id=None, sec
try:
# Bucket creation fails surprisingly often, even if the bucket exists.
# print('Attempting to create bucket %s...' % bucket_name)
s3.create_bucket(Bucket=bucket_name)
s3.create_bucket(Bucket=bucket_name, CreateBucketConfiguration={'LocationConstraint': region})
except ClientError as exc:
print('Error creating bucket %s: %s' % (bucket_name, exc))
s3res = session.resource('s3')
bucket = s3res.Bucket(bucket_name)
_ = s3res.Bucket(bucket_name)
if audio_data is not None:
print('Uploading audio data...')
wav_data = audio_data.get_wav_data()
Expand Down Expand Up @@ -1267,7 +1267,7 @@ def recognize_amazon(self, audio_data, bucket_name=None, access_key_id=None, sec
TranscriptionJobName=job_name,
Media={'MediaFileUri': job_uri},
MediaFormat='wav',
LanguageCode='en-US'
LanguageCode=language
)
exc = TranscriptionNotReady()
exc.job_name = job_name
Expand All @@ -1279,8 +1279,8 @@ def recognize_amazon(self, audio_data, bucket_name=None, access_key_id=None, sec
if exc.response['Error']['Code'] == 'LimitExceededException':
# Could not start job. Cancel everything.
s3.delete_object(Bucket=bucket_name, Key=filename)
exc = TranscriptionNotReady()
exc.job_name = None
exc = TranscriptionFailed()
exc.job_name = job_name
exc.file_key = None
raise exc
else:
Expand Down