Comment Google Cloud integration for Speech Recognition, disable related features

Author: avivace

audio.py

@@ -42,9 +42,9 @@
 import re
 import sys
 
-from google.cloud import speech
-from google.cloud.speech import enums
-from google.cloud.speech import types
+#from google.cloud import speech
+#from google.cloud.speech import enums
+#from google.cloud.speech import types
 import pyaudio
 from six.moves import queue
 # [END import_libraries]
@@ -79,7 +79,7 @@ def __init__(self):
         except Exception as e:
             logging.info("Audio: input stream not available")
 
-        self._google_speech_client = speech.SpeechClient()
+        #self._google_speech_client = speech.SpeechClient()
 
     def exit(self):
         pass
@@ -201,32 +201,32 @@ def speech_recog(self, model):
                         logging.info("recog text: " + recog_text)
                         return recog_text
 
-    def speech_recog_google(self, locale):
-        config = types.RecognitionConfig(
-            encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16,
-            sample_rate_hertz=RATE,
-            language_code=locale)
-        streaming_config = types.StreamingRecognitionConfig(
-            config=config,
-            interim_results=False,
-            single_utterance=True)
-
-        t1 = time.time()
-        with self.stream_in as stream:
-            audio_generator = stream.generator()
-            requests = (types.StreamingRecognizeRequest(audio_content=content)
-                        for content in audio_generator)
-
-            responses = self._google_speech_client.streaming_recognize(streaming_config, requests)
+ #   def speech_recog_google(self, locale):
+ #       config = types.RecognitionConfig(
+ #           encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16,
+ #           sample_rate_hertz=RATE,
+ #           language_code=locale)
+ #       streaming_config = types.StreamingRecognitionConfig(
+ #           config=config,
+ #           interim_results=False,
+ #           single_utterance=True)
+#
+ #       t1 = time.time()
+  #      with self.stream_in as stream:
+   #         audio_generator = stream.generator()
+    #        requests = (types.StreamingRecognizeRequest(audio_content=content)
+     #                   for content in audio_generator)
+#
+ #           responses = self._google_speech_client.streaming_recognize(streaming_config, requests)
 
             # Now, put the transcription responses to use.
-            for response in responses:
-                if time.time() - t1 > 10:
-                    return ""
-                if response.results:
-                    result = response.results[0]
-                    if result.is_final:
-                        return result.alternatives[0].transcript
+  #          for response in responses:
+   #             if time.time() - t1 > 10:
+    #                return ""
+     #           if response.results:
+      #              result = response.results[0]
+       #             if result.is_final:
+        #                return result.alternatives[0].transcript
 
     class MicrophoneStream(object):
         """Opens a recording stream as a generator yielding the audio chunks."""