Print out transcripts directly. (GoogleCloudPlatform#605)

Printing out the grpc-generated objects results in `str`s with escape sequences for unicode results, instead of the unicode characters themselves.

Author: jerjou

speech/grpc/transcribe.py

@@ -22,7 +22,7 @@
 from grpc.beta import implementations
 
 # Keep the request alive for this many seconds
-DEADLINE_SECS = 10
+DEADLINE_SECS = 60
 SPEECH_SCOPE = 'https://www.googleapis.com/auth/cloud-platform'
 
 
@@ -48,7 +48,7 @@ def make_channel(host, port):
  return implementations.secure_channel(host, port, composite_channel)
 
 
-def main(input_uri, encoding, sample_rate):
+def main(input_uri, encoding, sample_rate, language_code='en-US'):
  service = cloud_speech.beta_create_Speech_stub(
  make_channel('speech.googleapis.com', 443))
  # The method and parameters can be inferred from the proto from which the
@@ -60,17 +60,21 @@ def main(input_uri, encoding, sample_rate):
  # https://goo.gl/KPZn97 for the full list.
  encoding=encoding, # one of LINEAR16, FLAC, MULAW, AMR, AMR_WB
  sample_rate=sample_rate, # the rate in hertz
- # See
- # https://g.co/cloud/speech/docs/best-practices#language_support
- # for a list of supported languages.
- language_code='en-US', # a BCP-47 language tag
+ # See https://g.co/cloud/speech/docs/languages for a list of
+ # supported languages.
+ language_code=language_code, # a BCP-47 language tag
  ),
  audio=cloud_speech.RecognitionAudio(
  uri=input_uri,
  )
  ), DEADLINE_SECS)
- # Print the recognition results.
- print(response.results)
+
+ # Print the recognition result alternatives and confidence scores.
+ for result in response.results:
+ print('Result:')
+ for alternative in result.alternatives:
+ print(u' ({}): {}'.format(
+ alternative.confidence, alternative.transcript))
 
 
 def _gcs_uri(text):

speech/grpc/transcribe_async.py

@@ -51,52 +51,54 @@ def make_channel(host, port):
  return implementations.secure_channel(host, port, composite_channel)
 
 
-def main(input_uri, encoding, sample_rate):
+def main(input_uri, encoding, sample_rate, language_code='en-US'):
  channel = make_channel('speech.googleapis.com', 443)
  service = cloud_speech_pb2.beta_create_Speech_stub(channel)
  # The method and parameters can be inferred from the proto from which the
  # grpc client lib was generated. See:
  # https://github.com/googleapis/googleapis/blob/master/google/cloud/speech/v1beta1/cloud_speech.proto
- response = service.AsyncRecognize(cloud_speech_pb2.AsyncRecognizeRequest(
+ operation = service.AsyncRecognize(cloud_speech_pb2.AsyncRecognizeRequest(
  config=cloud_speech_pb2.RecognitionConfig(
  # There are a bunch of config options you can specify. See
  # https://goo.gl/KPZn97 for the full list.
  encoding=encoding, # one of LINEAR16, FLAC, MULAW, AMR, AMR_WB
  sample_rate=sample_rate, # the rate in hertz
- # See
- # https://g.co/cloud/speech/docs/best-practices#language_support
- # for a list of supported languages.
- language_code='en-US', # a BCP-47 language tag
+ # See https://g.co/cloud/speech/docs/languages for a list of
+ # supported languages.
+ language_code=language_code, # a BCP-47 language tag
  ),
  audio=cloud_speech_pb2.RecognitionAudio(
  uri=input_uri,
  )
  ), DEADLINE_SECS)
 
  # Print the longrunning operation handle.
- print(response)
+ print(operation)
 
  # Construct a long running operation endpoint.
  service = operations_grpc_pb2.beta_create_Operations_stub(channel)
 
- name = response.name
+ name = operation.name
 
  while True:
  # Give the server a few seconds to process.
  print('Waiting for server processing...')
  time.sleep(1)
- # Get the long running operation with response.
- response = service.GetOperation(
+ operation = service.GetOperation(
  operations_grpc_pb2.GetOperationRequest(name=name),
  DEADLINE_SECS)
 
- if response.done:
+ if operation.done:
  break
 
- # Print the recognition results.
- results = cloud_speech_pb2.AsyncRecognizeResponse()
- response.response.Unpack(results)
- print(results)
+ response = cloud_speech_pb2.AsyncRecognizeResponse()
+ operation.response.Unpack(response)
+ # Print the recognition result alternatives and confidence scores.
+ for result in response.results:
+ print('Result:')
+ for alternative in result.alternatives:
+ print(u' ({}): {}'.format(
+ alternative.confidence, alternative.transcript))
 
 
 def _gcs_uri(text):