def listen():
r = sr.Recognizer()
with sr.Microphone(sample_rate = 48000) as source:
say('Calibrating. Silence, please.')
log.update('calibrating noise level')
r.adjust_for_ambient_noise(source)
log.update('energy threshold at ' + str(r.energy_threshold))
say('Ready.')
while True:
# obtain audio from the microphone
log.update('listening for speech')
audio = r.listen(source)
log.update('processing speech')
with open('/tmp/teleradio.wav', 'wb') as f:
f.write(audio.get_wav_data())
audio_bytes = BytesIO(audio.get_wav_data())
nlp.handle_audio(audio = audio_bytes)
def light_set(text, entities):
state = nlp.top_confidence(entities=entities,
entity_name='gpio_state',
min_confidence=.75)
if state == 'on':
say('Turning light on')
return
if state == 'off':
say('Turning light off')
return
if state == 'toggle':
say('Toggling light')
return
log.warning('light_set state unclear')
say('Clarify what to do with the light.')
return
def shutdown(text, entities):
say('Shutting down')
os.system('shutdown -h now')
def reboot(text, entities):
say('Rebooting')
os.system('reboot')
def ip_get(text, entities):
say('I P functionality not ready yet.')
def update(text, entities):
say('Update functionality not ready yet.')