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))
