def main(): """ Entry point of Kalliope program """ # create arguments parser = argparse.ArgumentParser(description='Kalliope') parser.add_argument("action", help="[start|gui]") parser.add_argument("--run-synapse", help="Name of a synapse to load surrounded by quote") parser.add_argument("--brain-file", help="Full path of a brain file") parser.add_argument("--debug", action='store_true', help="Show debug output") # parse arguments from script parameters args = parser.parse_args() # require at least one parameter, the action if len(sys.argv[1:]) == 0: parser.print_usage() sys.exit(1) # check if we want debug configure_logging(debug=args.debug) logger.debug("kalliope args: %s" % args) # by default, no brain file is set. Use the default one: brain.yml in the root path brain_file = None # check if user set a brain.yml file if args.brain_file: brain_file = args.brain_file # load the brain once brain = BrainLoader.get_brain(file_path=brain_file) # check the user provide a valid action if args.action not in ACTION_LIST: Utils.print_warning("%s is not a recognised action\n" % args.action) parser.print_help() if args.action == "start": # user set a synapse to start if args.run_synapse is not None: SynapseLauncher.start_synapse(args.run_synapse, brain=brain) if args.run_synapse is None: # first, load events in crontab crontab_manager = CrontabManager(brain=brain) crontab_manager.load_events_in_crontab() Utils.print_success("Events loaded in crontab") # then start kalliope Utils.print_success("Starting Kalliope") Utils.print_info("Press Ctrl+C for stopping") # catch signal for killing on Ctrl+C pressed signal.signal(signal.SIGINT, signal_handler) # start the main controller MainController(brain=brain) if args.action == "gui": ShellGui(brain=brain)
def __init__(self, callback=None, **kwargs): """ Start recording the microphone and analyse audio with Bing api :param callback: The callback function to call to send the text :param kwargs: """ OrderListener.__init__(self) # callback function to call after the translation speech/tex self.callback = callback # obtain audio from the microphone r = sr.Recognizer() with sr.Microphone() as source: # listen for 1 second to calibrate the energy threshold for ambient noise levels r.adjust_for_ambient_noise(source) Utils.print_info("Say something!") audio = r.listen(source) # recognize speech using Bing Speech Recognition try: key = kwargs.get('key', None) language = kwargs.get('language', "en-US") show_all = kwargs.get('show_all', False) captured_audio = r.recognize_bing(audio, key=key, language=language, show_all=show_all) Utils.print_success("Bing Speech Recognition thinks you said %s" % captured_audio) self._analyse_audio(captured_audio) except sr.UnknownValueError: Utils.print_warning("Bing Speech Recognition could not understand audio") except sr.RequestError as e: Utils.print_danger("Could not request results from Bing Speech Recognition service; {0}".format(e))
def __init__(self, callback=None, **kwargs): """ Start recording the microphone and analyse audio with google api :param callback: The callback function to call to send the text :param kwargs: """ OrderListener.__init__(self) """ Start recording the microphone :return: """ # callback function to call after the translation speech/tex self.callback = callback # obtain audio from the microphone r = sr.Recognizer() with sr.Microphone() as source: # listen for 1 second to calibrate the energy threshold for ambient noise levels r.adjust_for_ambient_noise(source) Utils.print_info("Say something!") audio = r.listen(source) # recognize speech using Google Speech Recognition try: # for testing purposes, we're just using the default API key # to use another API key, use `r.recognize_google(audio, key="GOOGLE_SPEECH_RECOGNITION_API_KEY")` # instead of `r.recognize_google(audio)` key = kwargs.get('key', None) language = kwargs.get('language', "en-US") show_all = kwargs.get('show_all', False) captured_audio = r.recognize_google(audio, key=key, language=language, show_all=show_all) Utils.print_success( "Google Speech Recognition thinks you said %s" % captured_audio) self._analyse_audio(captured_audio) except sr.UnknownValueError: Utils.print_warning( "Google Speech Recognition could not understand audio") except sr.RequestError as e: Utils.print_danger( "Could not request results from Google Speech Recognition service; {0}" .format(e))