async def gassist(self, ctx, *, query):
'''PFXgassist <query>'''
await ctx.channel.trigger_typing()
loop = self.bot.loop
vc = True
uploadresp = False
player = False
try:
if not ctx.author.voice.channel:
vc = False
uploadresp = True
#return await ctx.send('You must be in a voice channel to use this!')
except AttributeError:
vc = False
uploadresp = True
#return await ctx.send('You must be in a voice channel to use this!')
if vc:
player = self.bot.wavelink.get_player(ctx.guild.id, cls=MusicPlayer)
player.gassist = True
player.current_gassist_query = query
if player:
if isinstance(player.current, MusicTrack):
uploadresp = True
#return await ctx.send('I\'m currently playing music so I can\'t play the response.')
try:
audio_sink = audio_helpers.WaveSink(
open(f'{ctx.author.id}.mp3', 'wb'),
sample_rate=16000,
sample_width=2
)
stream = audio_helpers.ConversationStream(
source=None,
sink=audio_sink,
iter_size=3200,
sample_width=2,
)
await loop.run_in_executor(None, func=functools.partial(gassistant.assist, query, stream))
if os.path.exists(f'{ctx.author.id}.mp3'):
if uploadresp:
file = discord.File(f'{ctx.author.id}.mp3', 'gassist.mp3')
await self.bot.loop.run_in_executor(None, func=functools.partial(self.bot.datadog.increment, 'gassist.uploaded'))
return await ctx.send(file=file)
alt_ctx = await copy_context_with(ctx, content=ctx.prefix + f'play {ctx.author.id}.mp3')
await alt_ctx.command.reinvoke(alt_ctx)
await self.bot.loop.run_in_executor(None, func=functools.partial(self.bot.datadog.increment, 'gassist.played'))
await asyncio.sleep(3)
track = player.current
if track == None:
await player.destroy_controller()
await player.destroy()
await player.disconnect()
return
if track.title == 'Unknown title':
length = track.length / 1000
await asyncio.sleep(length)
await player.destroy_controller()
await player.destroy()
await player.disconnect()
except Exception as e:
raise e
def handle_response(response):
#TODO Turn into a series of case statements
#Customize this with your own response actions
if response.query_result.action == "ask_for_hours":
if response.query_result.fulfillment_text == "What is the professor?":
send('2.4.1')
else:
send('3.3.1')
if response.query_result.action == "rotate_servo":
send('1.4.1')
if response.query_result.action == "ask_for_event":
send('3.3.1')
if response.query_result.fulfillment_text == "What was that?":
send('4.0.1')
#Setup audio for GoogleAssistant API
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width)
#Create Assistant object from pushtotalk.py
KnightAssistant = pushtotalk.SampleAssistant(
lang, device_model_id, device_id, conversation_stream,
grpc_channel, grpc_deadline, device_handler)
KnightAssistant.assist() #Run the assistant
send('1.0.3')
play_audio_file('output.wav') #Play response
listen()
else:
os.system("./simple_google_tts en \"" +
response.query_result.fulfillment_text +
"\"") #TODO Run as function rather than using os.system()
send('1.0.3')
listen()
def query():
# Load OAuth 2.0 credentials.
credentials = os.path.join(click.get_app_dir('google-oauthlib-tool'),
'credentials.json')
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
print("credentials didnt work")
return
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, ASSISTANT_API_ENDPOINT)
sample_rate_d = 16000
sample_width_d = 2
iterSize = 3200
input = os.path.join(gettempdir(), "in.wav")
output = os.path.join(gettempdir(), "out.wav")
audio_source = audio_helpers.WaveSource(open(input, 'rb'),
sample_rate=sample_rate_d,
sample_width=sample_width_d)
audio_sink = audio_helpers.WaveSink(open(output, 'wb'),
sample_rate=sample_rate_d,
sample_width=sample_width_d)
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=iterSize,
sample_width=sample_width_d,
)
with SampleAssistant(conversation_stream, grpc_channel,
DEFAULT_GRPC_DEADLINE) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
assistant.converse()
return
def main(api_endpoint, credentials, device_model_id, device_id, device_config,
query, lang, display, verbose, grpc_deadline, audio_sample_rate,
audio_sample_width, audio_iter_size, audio_block_size,
audio_flush_size, output_audio_file, *args, **kwargs):
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
return
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
conversation_stream = audio_helpers.ConversationStream(
source=None,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
with TextAssistant(conversation_stream, lang, device_model_id, device_id,
display, grpc_channel, grpc_deadline) as assistant:
logging.error(query)
response_text = assistant.assist(text_query=query)
if response_text:
click.echo('<@assistant> %s' % response_text)
def configure_conversation_stream(input_audio_file, audio_sample_rate,
audio_sample_width, audio_iter_size,
audio_block_size, audio_flush_size):
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_source = audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size)
audio_sink = audio_helpers.WaveSink(open(LOCAL_AUDIO_FILE, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
return audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
def main(api_endpoint, credentials, project_id, device_model_id, device_id,
device_config, lang, display, verbose, input_audio_file,
output_audio_file, audio_sample_rate, audio_sample_width,
audio_iter_size, audio_block_size, audio_flush_size, grpc_deadline,
once, *args, **kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_source = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
if output_audio_file:
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id, device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = ('https://%s/v1alpha2/projects/%s/devices' %
(api_endpoint, project_id))
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
@device_handler.command('com.example.commands.SearchCar')
def search_cars(filter, param):
print('SEARCH CARS\n' + 'FILTER: ' + filter + ', PARAM: ' + param)
try:
response = requests.get(
'http://localhost:5000/api/cars?{}={}'.format(filter, param))
data = json.loads(response.text)
cars = data['cars']
except:
print("Problem communicating with server")
cars = []
print('%-2s | %-10s | %-10s | %-8s | %s | %s | %s' %
("ID", "Make", "Body Type", "Colour", "No. Seats", "Cost/Hour",
"Location"))
print(
'---+------------+------------+----------+-----------+-----------+----------------------'
)
for car in cars:
print('%-2d | %-10s | %-10s | %-8s | %-9d | $%-8d | %s' %
(car['id'], car['make'], car['body_type'], car['colour'],
car['no_seats'], car['cost_per_hour'], car['location']))
with SampleAssistant(lang, device_model_id, device_id, conversation_stream,
display, grpc_channel, grpc_deadline,
device_handler) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.assist()
return
# If no file arguments supplied:
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# When the once flag is set, don't wait for a trigger. Otherwise, wait.
wait_for_user_trigger = not once
while True:
if wait_for_user_trigger:
click.pause(info='Press Enter to send a new request...')
continue_conversation = assistant.assist()
# wait for user trigger if there is no follow-up turn in
# the conversation.
wait_for_user_trigger = not continue_conversation
# If we only want one conversation, break.
if once and (not continue_conversation):
break
def main(api_endpoint=ASSISTANT_API_ENDPOINT,
credentials=os.path.join(click.get_app_dir('google-oauthlib-tool'),
'credentials.json'),
project_id=None,
device_model_id=None,
device_id=None,
device_config=os.path.join(
click.get_app_dir('googlesamples_assistant'),
'device_config.json'),
lang="en_GB",
display=True,
verbose=False,
input_audio_file=None,
output_audio_file=None,
audio_sample_rate=audio_helpers.DEFAULT_AUDIO_SAMPLE_RATE,
audio_sample_width=audio_helpers.DEFAULT_AUDIO_SAMPLE_WIDTH,
audio_iter_size=audio_helpers.DEFAULT_AUDIO_ITER_SIZE,
audio_block_size=audio_helpers.DEFAULT_AUDIO_DEVICE_BLOCK_SIZE,
audio_flush_size=audio_helpers.DEFAULT_AUDIO_DEVICE_FLUSH_SIZE,
grpc_deadline=DEFAULT_GRPC_DEADLINE,
once=False,
*args,
**kwargs):
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_source = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
if output_audio_file:
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id, device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = ('https://%s/v1alpha2/projects/%s/devices' %
(api_endpoint, project_id))
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
#|=============================================|
#| |
#| Handle commands for Google Assistant Stuff |
#| |
#|=============================================|
device_handler = device_helpers.DeviceRequestHandler(device_id)
@device_handler.command('action.devices.commands.SetVolume')
def changeVolume(volumeLevel, isPercentage):
if (isPercentage):
os.system(
'pactl set-sink-volume "alsa_output.usb-Generic_USB2.0_Device_20130100ph0-00.analog-stereo" '
+ str(volumeLevel) + '%')
with SampleAssistant(lang, device_model_id, device_id, conversation_stream,
display, grpc_channel, grpc_deadline,
device_handler) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.assist()
return
# If no file arguments supplied:
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# When the once flag is set, don't wait for a trigger. Otherwise, wait.
wait_for_user_trigger = not once
while True:
if wait_for_user_trigger:
input("PRESS ENTER TO SPEAK")
continue_conversation = assistant.assist()
# wait for user trigger if there is no follow-up turn in
# the conversation.
wait_for_user_trigger = not continue_conversation
# If we only want one conversation, break.
if once and (not continue_conversation):
break
def main(api_endpoint, credentials, project_id, device_model_id, device_id,
device_config, lang, display, verbose, input_audio_file,
output_audio_file, audio_sample_rate, audio_sample_width,
audio_iter_size, audio_block_size, audio_flush_size, grpc_deadline,
once, *args, **kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_source = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
if output_audio_file:
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id, device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = ('https://%s/v1alpha2/projects/%s/devices' %
(api_endpoint, project_id))
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
with SampleAssistant(lang, device_model_id, device_id, conversation_stream,
display, grpc_channel, grpc_deadline,
device_handler) as assistant:
query = ''
cached = []
current_detected = memcache.Client(['127.0.0.1:11211'], debug=0)
assistant.assist(text_query='Talk to my test app')
# If no file arguments supplied:
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# When the once flag is set, don't wait for a trigger. Otherwise, wait.
#wait_for_user_trigger = not once
while True:
while True:
name = current_detected.get('Name')
if name is not '':
query = name
break
click.echo('<you> %s' % query)
#always set MODE = TRUE for text input for detection input
#if not assistant.MODE:
# assistant.switch_mode()
#first request made to Dialogflow to notify the user detected
continue_conversation = assistant.assist(text_query=query)
#decision fork, whether it is first detection for check in
#or subsequent detections for action tracking
if query not in cached:
cached.append(query)
continue_conversation = assistant.assist(text_query='start')
else:
assistant.switch_mode()
continue_conversation = assistant.assist(text_query=None)
assistant.switch_mode()
def main(api_endpoint, credentials, project_id, device_model_id, device_id,
device_config, lang, display, verbose, input_audio_file,
output_audio_file, audio_sample_rate, audio_sample_width,
audio_iter_size, audio_block_size, audio_flush_size, grpc_deadline,
once, *args, **kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, "r") as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error("Error loading credentials: %s", e)
logging.error("Run google-oauthlib-tool to initialize "
"new OAuth 2.0 credentials.")
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info("Connecting to %s", api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, "rb"),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
)
else:
audio_source = audio_device = audio_device or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size,
)
if output_audio_file:
audio_sink = audio_helpers.WaveSink(
open(output_audio_file, "wb"),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
)
else:
audio_sink = audio_device = audio_device or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size,
)
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device["id"]
device_model_id = device["model_id"]
logging.info("Using device model %s and device id %s",
device_model_id, device_id)
except Exception as e:
logging.warning("Device config not found: %s" % e)
logging.info("Registering device")
if not device_model_id:
logging.error("Option --device-model-id required "
"when registering a device instance.")
sys.exit(-1)
if not project_id:
logging.error("Option --project-id required "
"when registering a device instance.")
sys.exit(-1)
device_base_url = "https://%s/v1alpha2/projects/%s/devices" % (
api_endpoint,
project_id,
)
device_id = str(uuid.uuid1())
payload = {
"id": device_id,
"model_id": device_model_id,
"client_type": "SDK_SERVICE",
}
session = google.auth.transport.requests.AuthorizedSession(
credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error("Failed to register device: %s", r.text)
sys.exit(-1)
logging.info("Device registered: %s", device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, "w") as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
@device_handler.command("action.devices.commands.OnOff")
def onoff(on):
if on:
logging.info("Turning device on")
else:
logging.info("Turning device off")
@device_handler.command("com.example.commands.BlinkLight")
def blink(speed, number):
logging.info("Blinking device %s times." % number)
delay = 1
if speed == "SLOWLY":
delay = 2
elif speed == "QUICKLY":
delay = 0.5
for i in range(int(number)):
logging.info("Device is blinking.")
time.sleep(delay)
with SampleAssistant(
lang,
device_model_id,
device_id,
conversation_stream,
display,
grpc_channel,
grpc_deadline,
device_handler,
) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.assist()
return
# If no file arguments supplied:
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# When the once flag is set, don't wait for a trigger. Otherwise, wait.
wait_for_user_trigger = not once
while True:
if wait_for_user_trigger:
print("Press button to initiate a new request")
dots.fill(0x00000F) # lite blue LEDs
dots.show()
while button.value:
time.sleep(0.1)
# red LEDs
dots.fill(0xFF0000)
dots.show()
continue_conversation = assistant.assist()
# LEDs off
dots.fill(0x000000)
dots.show()
# wait for user trigger if there is no follow-up turn in
# the conversation.
wait_for_user_trigger = not continue_conversation
# If we only want one conversation, break.
if once and (not continue_conversation):
break
def audioRecorderCallback(self, snowboy_audio_file):
# Got keyword from Snowboy, now handle the audio from the file Snowboy recorded
rospy.loginfo(
"SPEECH: Snowboy got keyword, Handling Audio that was recorded...")
suggested_response = ""
service_response = 0
partial_result = False # just always send final text
phrase_heard_uppercase = ""
# Handle case where mic disabled by system (talking, or moving servos)
if not self.mic_system_enabled:
rospy.loginfo("SPEECH: MIC disabled by SYSTEM. Ignoring input")
return
# Handle case where mic disabled by user (including case where turning mic back on)
if not self.mic_user_enabled:
# mic disabled by User (don't listen)
if self.mic_user_enable_pending:
# User said to turn mic back on!
rospy.loginfo("SPEECH: MIC now enabled by USER.")
self.mic_user_enable_pending = False # reset flag
self.mic_user_enabled = True # enable mic now (ignoring whatever was in the buffer)
self.local_voice_say_text("Ok, I am listening")
else:
rospy.loginfo("SPEECH: MIC disabled by USER. Ignoring input")
return
#=====================================================================================
# Normal operation - first handle the audio from the file Snowboy recorded
rospy.loginfo(self.logname + "handling audio from Snowboy...")
audio_device = None
read_from_file = True # first read is file from Snowboy
display_assistant_responses = False # Display HTML!
grpc_deadline = DEFAULT_GRPC_DEADLINE
rospy.loginfo('initializing SampleAssistant...')
with SampleAssistant('en-US', self.device_model_id, self.device_id,
display_assistant_responses, self.grpc_channel,
grpc_deadline, self.device_handler) as assistant:
# If user asked an open-ended question, handle follow up question without waiting for robot name!
continue_conversation = True # go through loop at least once
while continue_conversation:
if read_from_file:
audio_source = audio_helpers.WaveSource(
open(snowboy_audio_file, 'rb'),
sample_rate=audio_helpers.DEFAULT_AUDIO_SAMPLE_RATE,
sample_width=audio_helpers.DEFAULT_AUDIO_SAMPLE_WIDTH)
read_from_file = False # After handling Snowboy's initial buffer, everyting else is mic input
else:
audio_source = audio_device = (
audio_device or audio_helpers.SoundDeviceStream(
sample_rate=audio_helpers.
DEFAULT_AUDIO_SAMPLE_RATE,
sample_width=audio_helpers.
DEFAULT_AUDIO_SAMPLE_WIDTH,
block_size=audio_helpers.
DEFAULT_AUDIO_DEVICE_BLOCK_SIZE,
flush_size=audio_helpers.
DEFAULT_AUDIO_DEVICE_FLUSH_SIZE))
rospy.loginfo('Setting up Output device (speaker or file)...')
send_response_to_file = False # DAVES change this to hide Google's spoken response!
if send_response_to_file:
audio_sink = audio_helpers.WaveSink(
open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (
audio_helpers.SoundDeviceStream(
sample_rate=audio_helpers.
DEFAULT_AUDIO_SAMPLE_RATE,
sample_width=audio_helpers.
DEFAULT_AUDIO_SAMPLE_WIDTH,
block_size=audio_helpers.
DEFAULT_AUDIO_DEVICE_BLOCK_SIZE,
flush_size=audio_helpers.
DEFAULT_AUDIO_DEVICE_FLUSH_SIZE))
# Create conversation stream with the given audio source and sink.
rospy.loginfo('Creating Conversation Stream...')
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_helpers.DEFAULT_AUDIO_ITER_SIZE,
sample_width=audio_helpers.DEFAULT_AUDIO_SAMPLE_WIDTH,
)
assistant.set_conversation_stream(
conversation_stream
) # pass in the current stream (file or mic input)
rospy.loginfo('Calling Assist...')
assistant_response = None
assistant_response_ascii = None
continue_conversation, assistant_response = assistant.assist()
rospy.loginfo('Done with conversation / response.')
if assistant_response:
try:
# Handle Unicode
assistant_response_ascii = assistant_response.encode(
'ascii', errors='ignore')
rospy.loginfo('FINAL ASSISTANT RESPONSE TEXT: [%s]',
assistant_response_ascii)
if not use_google_assistant_voice:
self.local_voice_say_text(assistant_response_ascii)
except Exception as e:
rospy.logwarn(
'Bad FINAL ASCII response from Assistant: %s', e)
# END OF BLOCK FROM GOOGLE_CLOUD
self.pub_eye_color.publish(
eye_color_default) # restore eye color to normal
os.remove(snowboy_audio_file)
def main(api_endpoint, credentials, verbose, input_audio_file,
output_audio_file, audio_sample_rate, audio_sample_width,
audio_iter_size, audio_block_size, audio_flush_size, grpc_deadline,
once, *args, **kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
return
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
# audio_device = None
# if input_audio_file:
# audio_source = audio_helpers.WaveSource(
# open(input_audio_file, 'rb'),
# sample_rate=audio_sample_rate,
# sample_width=audio_sample_width
# )
# else:
# audio_source = audio_device = (
# audio_device or audio_helpers.SoundDeviceStream(
# sample_rate=audio_sample_rate,
# sample_width=audio_sample_width,
# block_size=audio_block_size,
# flush_size=audio_flush_size
# )
# )
# if output_audio_file:
# audio_sink = audio_helpers.WaveSink(
# open(output_audio_file, 'wb'),
# sample_rate=audio_sample_rate,
# sample_width=audio_sample_width
# )
# else:
# audio_sink = audio_device = (
# audio_device or audio_helpers.SoundDeviceStream(
# sample_rate=audio_sample_rate,
# sample_width=audio_sample_width,
# block_size=audio_block_size,
# flush_size=audio_flush_size
# )
# )
# Our Audio setup
# audio_device, audio_dump = None
# audio_source, audio_source_file = None
# audo_sink, audio_sink_file = None
audio_device = None
if not input_audio_file:
print("\nI am here to inform you that... \nYou done f****d up\n")
exit()
audio_source_file = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
audio_source = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
if output_audio_file:
audio_sink_file = audio_helpers.WaveSink(
open(output_audio_file, "wb"),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream_file = audio_helpers.ConversationStream(
source=audio_source_file,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width)
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
global auditer, audsw, audsr, audbs, audfs, iaud
auditer = audio_iter_size
audsw = audio_sample_width
audsr = audio_sample_rate
audbs = audio_block_size
audfs = audio_flush_size
iaud = input_audio_file
with SampleAssistant(conversation_stream, grpc_channel, grpc_deadline,
conversation_stream_file) as assistant:
assistant.csf = conversation_stream_file
continue_conversation = assistant.converse()
def main(api_endpoint, credentials,
device_model_id, device_id, lang, display, verbose,
grpc_deadline,audio_sample_rate, audio_block_size,
audio_iter_size, audio_sample_width, audio_flush_size,
audio_output_file, *args, **kwargs):
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
return
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
audio_device = None
audio_source = audio_device = (
audio_device or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size
)
)
if audio_output_file:
audio_sink = audio_helpers.WaveSink(
open(audio_output_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width
)
else:
audio_sink = audio_device = (
audio_device or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size
)
)
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width
)
with SampleTextAssistant(lang, device_model_id, device_id,conversation_stream,
display, grpc_channel, grpc_deadline) as assistant:
while True:
query = click.prompt('')
click.echo('<you> %s' % query)
response_text, response_html = assistant.assist(text_query=query)
if display and response_html:
system_browser = browser_helpers.system_browser
system_browser.display(response_html)
if response_text:
click.echo('<@assistant> %s' % response_text)
def main(api_endpoint=ASSISTANT_API_ENDPOINT,
credentials=os.path.join(click.get_app_dir('google-oauthlib-tool'), 'credentials.json'),
device_config=os.path.join(click.get_app_dir('googlesamples-assistant'),'device_config.json'),
device_id=None,
project_id=None,
device_model_id=None,
input_audio_file=None,
output_audio_file=None,
audio_sample_rate=audio_helpers.DEFAULT_AUDIO_SAMPLE_RATE,
audio_sample_width=audio_helpers.DEFAULT_AUDIO_SAMPLE_WIDTH,
audio_block_size=audio_helpers.DEFAULT_AUDIO_DEVICE_BLOCK_SIZE,
audio_flush_size=audio_helpers.DEFAULT_AUDIO_DEVICE_FLUSH_SIZE,
audio_iter_size=audio_helpers.DEFAULT_AUDIO_ITER_SIZE,
lang='en-US', display=False,
verbose=False,
once=False,
grpc_deadline=DEFAULT_GRPC_DEADLINE, *args, **kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
connectMQTT()
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width
)
else:
audio_source = audio_device = (
audio_device or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size
)
)
if output_audio_file:
audio_sink = audio_helpers.WaveSink(
open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width
)
else:
audio_sink = audio_device = (
audio_device or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size
)
)
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id,
device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = (
'https://%s/v1alpha2/projects/%s/devices' % (api_endpoint,
project_id)
)
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials
)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
@device_handler.command('action.devices.commands.OnOff')
def onoff(on):
if on:
logging.info('Turning device on')
else:
logging.info('Turning device off')
@device_handler.command('com.example.commands.BlinkLight')
def blink(speed, number):
logging.info('Blinking device %s times.' % number)
delay = 1
if speed == "SLOWLY":
delay = 2
elif speed == "QUICKLY":
delay = 0.5
for i in range(int(number)):
logging.info('Device is blinking.')
time.sleep(delay)
with SampleAssistant(lang, device_model_id, device_id,
conversation_stream, display,
grpc_channel, grpc_deadline,
device_handler) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.assist()
return
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# This will loop as long as assist() returns true
# meaning that a follow on query for the user is
# expected. If the once flag is set only one request
# is performed no matter what assist() returns.
# assist() can be thought of as a state continue_conversation
while assistant.assist():
if once:
break
def main(api_endpoint, credentials, project_id, device_model_id, device_id,
device_config, lang, display, verbose, input_audio_file,
output_audio_file, audio_sample_rate, audio_sample_width,
audio_iter_size, audio_block_size, audio_flush_size, grpc_deadline,
once, *args, **kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_source = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
if output_audio_file:
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id, device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = ('https://%s/v1alpha2/projects/%s/devices' %
(api_endpoint, project_id))
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
with SampleAssistant(lang, device_model_id, device_id, conversation_stream,
display, grpc_channel, grpc_deadline,
device_handler) as assistant:
Now = datetime.datetime.now()
DateTimeStamp = "{:%d/%m/%Y}".format(Now)
print(DateTimeStamp)
cached_list = cached.find_one({'ref': DateTimeStamp})['cached']
print(cached_list)
current_detected = memcache.Client(['127.0.0.1:11211'], debug=0)
assistant.assist(text_query='Talk to my test app')
# If no file arguments supplied:
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# When the once flag is set, don't wait for a trigger. Otherwise, wait.
#wait_for_user_trigger = not once
while True:
if assistant.MODE is 0 or assistant.MODE is 1:
query = ''
while True:
name = current_detected.get('Name')
if name is not '':
query = name
assistant.switch_mode(1)
if name not in cached_list:
cached_list.append(name)
cached.update({'ref': DateTimeStamp},
{'$push': {
'cached': name
}})
query = name + "first"
assistant.switch_mode(0)
break
if assistant.MODE is 0:
click.echo('<you> %s' % query)
text, continue_conversation = assistant.assist(
text_query=query)
#print(text)
elif assistant.MODE is 1:
click.echo('<you> %s' % query)
text, continue_conversation = assistant.assist(
text_query=query)
#print(text)
assistant.switch_mode(2)
elif assistant.MODE is 2:
text, continue_conversation = assistant.assist(text_query=None)
print(text)
if text == 'Please report activity again.':
print('recording again')
assistant.switch_mode(2)
#text, continue_conversation = assistant.assist(text_query=None)
else:
print('why??')
assistant.switch_mode(1)
# wait for user trigger if there is no follow-up turn in
# the conversation.
#wait_for_user_trigger = not continue_conversation
# If we only want one conversation, break.
if not continue_conversation:
assistant.assist(text_query='Talk to my test app')
time.sleep(1)
def main(api_endpoint, credentials, project_id,
device_model_id, device_id, device_config,
lang, display, verbose,
input_audio_file, output_audio_file,
audio_sample_rate, audio_sample_width,
audio_iter_size, audio_block_size, audio_flush_size,
grpc_deadline, once, hotword_model, *args, **kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width
)
else:
audio_source = audio_device = (
audio_device or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size
)
)
if output_audio_file:
audio_sink = audio_helpers.WaveSink(
open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width
)
else:
audio_sink = audio_device = (
audio_device or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size
)
)
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id,
device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = (
'https://%s/v1alpha2/projects/%s/devices' % (api_endpoint,
project_id)
)
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials
)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
@device_handler.command('action.devices.commands.OnOff')
def onoff(on):
if on:
pin13.write(1)
logging.info('Turning device on')
else:
pin13.write(0)
logging.info('Turning device off')
@device_handler.command('action.devices.commands.BrightnessAbsolute')
def brightnessCheck(brightness):
pin13.write(brightness/100)
logging.info('ok , brightness is ' , brightness)
@device_handler.command('com.example.commands.BlinkLight')
def blink(speed, number):
logging.info('Blinking device %s times.' % number)
delay = 1
if speed == "SLOWLY":
delay = 2
elif speed == "QUICKLY":
delay = 0.5
for i in range(int(number)):
logging.info('Device is blinking.')
time.sleep(delay)
with SampleAssistant(lang, device_model_id, device_id,
conversation_stream, display,
grpc_channel, grpc_deadline,
device_handler) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.assist()
return
import snowboydecoder
def listening():
detector = snowboydecoder.HotwordDetector(hotword_model, sensitivity=0.397, audio_gain=1)
print("Say dalilaa .....or, Press Ctrl+C to exit")
detector.start(detected_callback=detectedCallback, sleep_time=0.01)
detector.terminate()
def detectedCallback():
continue_conversation = assistant.assist()
print("Say dalilaa ...... or Press Ctrl+C to exit")
# listening()
listening()
def main(api_endpoint, credentials, project_id, device_model_id, device_id,
device_config, lang, verbose, input_audio_file, output_audio_file,
audio_sample_rate, audio_sample_width, audio_iter_size,
audio_block_size, audio_flush_size, grpc_deadline, once, *args,
**kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
context = zmq.Context.instance()
socket = context.socket(zmq.REP)
socket.bind('tcp://127.0.0.1:5555')
while True:
print('receiving socket message...')
msg = socket.recv_string()
if msg == 'stop':
socket.send_string('stopping')
context.destroy()
break
if msg != 'start':
socket.send_string('invalid message')
continue
print('received start message')
# Configure audio source and sink.
audio_device = None
audio_source = audio_helpers.WaveSource(
open('in.wav', 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
if output_audio_file:
audio_sink = audio_helpers.WaveSink(
open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
device_handler = device_helpers.DeviceRequestHandler(device_id)
@device_handler.command('action.devices.commands.OnOff')
def onoff(on):
if on:
logging.info('Turning device on')
else:
logging.info('Turning device off')
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = ('https://%s/v1alpha2/projects/%s/devices' %
(api_endpoint, project_id))
device_id = str(uuid.uuid1())
payload = {'id': device_id, 'model_id': device_model_id}
session = google.auth.transport.requests.AuthorizedSession(
credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
os.makedirs(os.path.dirname(device_config), exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
with SampleAssistant(lang, device_model_id, device_id,
conversation_stream, grpc_channel, grpc_deadline,
device_handler) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
#if input_audio_file or output_audio_file:
assistant.assist()
print("accepting another request...")
socket.send_string('done')
def main(api_endpoint=ASSISTANT_API_ENDPOINT,
credentials=os.path.join(click.get_app_dir('google-oauthlib-tool'),
'credentials.json'),
device_config=os.path.join(
click.get_app_dir('googlesamples-assistant'),
'device_config.json'),
device_id=None,
project_id=None,
device_model_id=None,
input_audio_file=None,
output_audio_file=None,
audio_sample_rate=audio_helpers.DEFAULT_AUDIO_SAMPLE_RATE,
audio_sample_width=audio_helpers.DEFAULT_AUDIO_SAMPLE_WIDTH,
audio_block_size=audio_helpers.DEFAULT_AUDIO_DEVICE_BLOCK_SIZE,
audio_flush_size=audio_helpers.DEFAULT_AUDIO_DEVICE_FLUSH_SIZE,
audio_iter_size=audio_helpers.DEFAULT_AUDIO_ITER_SIZE,
lang='ko-KR',
verbose=False,
once=False,
grpc_deadline=DEFAULT_GRPC_DEADLINE):
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_source = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
if output_audio_file:
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id, device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = ('https://%s/v1alpha2/projects/%s/devices' %
(api_endpoint, project_id))
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
@device_handler.command('action.devices.commands.OnOff')
def onoff(on):
if on:
logging.info('Turning device on')
print('JCH MP3 Play')
#launch subprocess
#python cannot play mp3
#subprocess.call(['lxterminal', '-e', 'python runMP3.py'])
subprocess.call(['lxterminal', '-e', './runMP3.sh'])
print('JCH fork process is run. parent process is still running')
else:
logging.info('Turning device off')
killMP3Pid()
print('JCH turn off')
@device_handler.command('com.example.commands.BlinkLight')
def blink(speed, number):
logging.info('Blinking device %s times.' % number)
delay = 1
if speed == "SLOWLY":
delay = 2
elif speed == "QUICKLY":
delay = 0.5
for i in range(int(number)):
logging.info('Device is blinking.')
time.sleep(delay)
#JCH : get MP3 player pid
def killMP3Pid():
count = 1
pid = -1
cmd = ['ps', '-ef']
fd_popen = subprocess.Popen(cmd, stdout=subprocess.PIPE).stdout
for line in fd_popen:
if line.find('runMP3') != -1:
list = line.split()
pid = list[1]
print('bash pid:' + str(pid))
os.kill(int(pid), signal.SIGTERM) #or signal.SIGKILL
break
fd_popen.close()
fd_popen = subprocess.Popen(cmd, stdout=subprocess.PIPE).stdout
for line in fd_popen:
if line.find('omxplayer') != -1:
print('find')
list = line.split()
pid = list[1]
print('pid:' + str(pid))
os.kill(int(pid), signal.SIGTERM)
if count == 2:
break
else:
count = count + 1
fd_popen.close()
#
with SampleAssistant(lang, device_model_id, device_id, conversation_stream,
grpc_channel, grpc_deadline,
device_handler) as assistant:
while assistant.assist():
if once:
break
def main(api_endpoint, credentials, project_id,
device_model_id, device_id, device_config,
lang, display, verbose,
input_audio_file, output_audio_file,
audio_sample_rate, audio_sample_width,
audio_iter_size, audio_block_size, audio_flush_size,
grpc_deadline, once, *args, **kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Porcupine setup
library_path = "lib/linux/x86_64/libpv_porcupine.so" # Path to Porcupine's C library available under lib/${SYSTEM}/${MACHINE}/
model_file_path = "lib/common/porcupine_params.pv" # It is available at lib/common/porcupine_params.pv
keyword_file_paths = ['picovoice_linux.ppn', 'ok_google_linux_2020-04-28_v1.7.0.ppn', 'hey_google_linux_2020-04-28_v1.7.0.ppn']
sensitivities = [0.8, 0.9, 0.9]
porcupine = None
pa = None
audio_stream = None
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width
)
else:
audio_source = audio_device = (
audio_device or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size
)
)
if output_audio_file:
audio_sink = audio_helpers.WaveSink(
open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width
)
else:
audio_sink = audio_device = (
audio_device or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size
)
)
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id,
device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = (
'https://%s/v1alpha2/projects/%s/devices' % (api_endpoint,
project_id)
)
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials
)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
@device_handler.command('action.devices.commands.OnOff')
def onoff(on):
if on:
logging.info('Turning device on')
else:
logging.info('Turning device off')
@device_handler.command('com.example.commands.BlinkLight')
def blink(speed, number):
logging.info('Blinking device %s times.' % number)
delay = 1
if speed == "SLOWLY":
delay = 2
elif speed == "QUICKLY":
delay = 0.5
for i in range(int(number)):
logging.info('Device is blinking.')
time.sleep(delay)
with SampleAssistant(lang, device_model_id, device_id,
conversation_stream, display,
grpc_channel, grpc_deadline,
device_handler) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.assist()
return
wait_for_user_trigger = not once
try:
porcupine = Porcupine(
library_path,
model_file_path,
keyword_file_paths=keyword_file_paths,
sensitivities=sensitivities)
pa = pyaudio.PyAudio()
audio_stream = pa.open(
rate=porcupine.sample_rate,
channels=1,
format=pyaudio.paInt16,
input=True,
frames_per_buffer=porcupine.frame_length,
input_device_index=2)
while True:
#print('listening')
pcm = audio_stream.read(porcupine.frame_length)
pcm = struct.unpack_from("h" * porcupine.frame_length, pcm)
#print('test')
result = porcupine.process(pcm)
if result >= 0:
print('detected keyword')
continue_conversation = assistant.assist()
wait_for_user_trigger = not continue_conversation
except KeyboardInterrupt:
print('stopping ...')
finally:
if porcupine is not None:
porcupine.delete()
if audio_stream is not None:
audio_stream.close()
if pa is not None:
pa.terminate()
def main(api_endpoint, credentials, project_id, device_model_id, device_id,
device_config, lang, display, verbose, input_audio_file,
output_audio_file, audio_sample_rate, audio_sample_width,
audio_iter_size, audio_block_size, audio_flush_size, grpc_deadline,
once, *args, **kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
############################################################################3
global updt_time, query, resp_text, mute, startmouth, TezHead, beep, faceFound, name2, onceface, facerec_en, keyboard_on
# Setup logging.
Kpx = 1
Kpy = 1
Ksp = 40
## Head X and Y angle limits
time.sleep(5)
Xmax = 725
Xmin = 290
Ymax = 550
Ymin = 420
keyboard_on = False
## Initial Head position
Xcoor = 511
Ycoor = 450
Facedet = 0
## Time head wait turned
touch_wait = 2
no_face_tm = time.time()
face_det_tm = time.time()
last_face_det_tm = time.time()
touch_tm = 0
touch_samp = time.time()
qbo_touch = 0
touch_det = False
face_not_found_idx = 0
mutex_wait_touch = False
faceFound = False
onceface = False
dist = 100
audio_response1 = '/home/pi/Reebo_Python/up.wav'
wavep = wave.open(audio_response1, 'rb')
audio_response2 = '/home/pi/Reebo_Python/HiTej.wav'
wavep2 = wave.open(audio_response2, 'rb')
facerec_en = False
############################################################################3
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_source = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
if output_audio_file:
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id, device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = (
'https://%s/v1alphapi@raspber2/projects/%s/devices' %
(api_endpoint, project_id))
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
@device_handler.command('action.devices.commands.OnOff')
def onoff(on):
if on:
logging.info('Turning device on')
else:
logging.info('Turning device off')
@device_handler.command('com.example.commands.BlinkLight')
def blink(speed, number):
logging.info('Blinking device %s times.' % number)
delay = 1
if speed == "slowly":
delay = 2
elif speed == "quickly":
delay = 0.5
for i in range(int(number)):
logging.info('Device is blinking.')
time.sleep(delay)
#~ def findquery():
############################# FACEREC THREAD ##################################################33
def facerec():
global name2
f = open("/home/pi/Reebo_Python/face_features.pkl", 'rb')
details = pickle.load(f)
# Initialize some variables
face_locations = []
face_encodings = []
face_names = []
name2 = []
unknown_picture = fr.load_image_file("/home/pi/Reebo_Python/test.jpg")
# Grab a single frame of video
# frame = unknown_picture
# Resize frame of video to 1/4 size for faster face recognition processing
# small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
# Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses)
# rgb_small_frame = small_frame[:, :, ::-1]
# Find all the faces and face encodings in the current frame of video
face_locations = fr.face_locations(unknown_picture)
face_encodings = fr.face_encodings(unknown_picture, face_locations)
print("{0} persons identified".format(len(face_locations)))
face_names = []
for face_encoding in face_encodings:
matches = fr.compare_faces(details['encodings'], face_encoding,
0.45)
name = "Unknown"
# If a match was found in known_face_encodings, just use the first one.
if True in matches:
first_match_index = matches.index(True)
name = details["name"][first_match_index]
face_names.append(name)
print(face_names)
for i in range(0, len(face_names)):
name_temp = str(face_names[i]).replace('photos/', "")
name_temp = str(name_temp).replace(']\'', "")
name2.append(str(name_temp))
print name2
n = open("/home/pi/Reebo_Python/names.txt", 'w')
for i in face_names:
n.write(i + "\n")
n.close()
for (top, right, bottom, left), name in zip(face_locations,
face_names):
if not name:
continue
if name == "warner":
cv2.rectangle(unknown_picture, (left, top), (right, bottom),
(255, 0, 0), 2)
cv2.rectangle(unknown_picture, (left, bottom - 25),
(right, bottom), (255, 0, 0), 1)
font = cv2.FONT_HERSHEY_DUPLEX
cv2.putText(unknown_picture, name, (left + 6, bottom - 6),
font, 0.5, (255, 255, 255), 1)
else:
cv2.rectangle(unknown_picture, (left, top), (right, bottom),
(0, 0, 255), 2)
cv2.rectangle(unknown_picture, (left, bottom - 25),
(right, bottom), (0, 0, 255), 1)
font = cv2.FONT_HERSHEY_DUPLEX
cv2.putText(unknown_picture, name, (left + 6, bottom - 6),
font, 0.5, (255, 255, 255), 1)
cv2.imwrite("/home/pi/Reebo_Python/result.png", unknown_picture)
def findFace():
global name2, faceFound, onceface, facerec_en, updt_time
found_tm = time.time()
onceface = False
touch_samp = time.time()
Xmax = 725
Xmin = 290
Ymax = 550
Ymin = 420
qbo_touch = 0
while True:
#print("find face " + str(time.time()))
try:
faceFound = False
# while not faceFound :
# This variable is set to true if, on THIS loop a face has already been found
# We search for a face three diffrent ways, and if we have found one already-
# there is no reason to keep looking.
#thread.start_new_thread(WaitForSpeech, ())
# WaitForSpeech()
# ServoHome()
Cface = [0, 0]
t_ini = time.time()
while time.time() - t_ini < 0.01: # wait for present frame
t_ini = time.time()
aframe = webcam.read()[
1] #print "t: " + str(time.time()-t_ini)
fface = frontalface.detectMultiScale(
aframe, 1.3, 4, (cv2.cv.CV_HAAR_DO_CANNY_PRUNING +
cv2.cv.CV_HAAR_FIND_BIGGEST_OBJECT +
cv2.cv.CV_HAAR_DO_ROUGH_SEARCH), (60, 60))
pfacer = profileface.detectMultiScale(
aframe, 1.3, 4, (cv2.cv.CV_HAAR_DO_CANNY_PRUNING +
cv2.cv.CV_HAAR_FIND_BIGGEST_OBJECT +
cv2.cv.CV_HAAR_DO_ROUGH_SEARCH), (80, 80))
if fface != (): # if we found a frontal face...
for f in fface: # f in fface is an array with a rectangle representing a face
faceFound = True
face = f
elif pfacer != (): # if we found a profile face...
for f in pfacer:
faceFound = True
face = f
if faceFound:
updt_time = time.time()
#facerec()
if onceface == False:
cv2.imwrite("/home/pi/Reebo_Python/test.jpg", aframe)
onceface = True
found_tm = time.time()
x, y, w, h = face
Cface = [
(w / 2 + x), (h / 2 + y)
] # we are given an x,y corner point and a width and height, we need the center
TezHead.SetNoseColor(4)
#print "face ccord: " + str(Cface[0]) + "," + str(Cface[1])
faceOffset_X = 160 - Cface[0]
if (faceOffset_X > 20) | (faceOffset_X < -20):
time.sleep(0.002)
# acquire mutex
TezHead.SetAngleRelative(1, faceOffset_X >> 1)
# release mutex
#wait for move
time.sleep(0.05)
#print "MOVE REL X: " + str(faceOffset_X >> 1)
faceOffset_Y = Cface[1] - 120
if (faceOffset_Y > 20) | (faceOffset_Y < -20):
time.sleep(0.002)
# acquire mutex
TezHead.SetAngleRelative(2, faceOffset_Y >> 1)
# release mutex
#wait for move
time.sleep(0.05)
if time.time() - found_tm > 0.5:
TezHead.SetNoseColor(0)
except Exception as e:
print e
pass
try:
current_touched = cap.touched()
#last_touched = cap.touched()
cap.set_thresholds(10, 6)
# Check each pin's last and current state to see if it was pressed or released.
i = 0
for i in [1, 11]:
pin_bit = 1 << i
# Each pin is represented by a bit in the touched value. A value of 1
# First check if transitioned from not touched to touched.
if current_touched & pin_bit: #and not last_touched & pin_bit:
print('{0} touched!'.format(i))
qbo_touch = int(i)
## # Next check if transitioned from touched to not touched.
## if not current_touched & pin_bit and last_touched & pin_bit:
## print('{0} released!'.format(i))
## # Update last state and wait a short period before repeating.
## last_touched = current_touched
#time.sleep(0.1)
except:
#print sys.exc_info()
#print "error"
pass
if (time.time() - touch_samp >
0.5): # & (time.time() - last_face_det_tm > 3):
touch_samp = time.time()
#~ time.sleep(0.002)
if qbo_touch in [1, 11]:
if qbo_touch == 1:
print("right")
TezHead.SetServo(1, Xmax - 50, 100)
time.sleep(0.002)
TezHead.SetServo(2, Ymin - 5, 100)
#thread.start_new_thread(WaitTouchMove, ())
# wait for begin touch move.
time.sleep(1)
qbo_touch = 0
elif qbo_touch == [2]:
#~ time.sleep(0.002)
TezHead.SetServo(2, Ymin - 5, 100)
thread.start_new_thread(WaitTouchMove, ())
# wait for begin touch move.
time.sleep(1)
qbo_touch = 0
elif qbo_touch == 11:
print("left")
TezHead.SetServo(1, Xmin + 50, 100)
time.sleep(0.002)
TezHead.SetServo(2, Ymin - 5, 100)
#thread.start_new_thread(WaitTouchMove, ())
# wait for begin touch move.
time.sleep(1)
qbo_touch = 0
def distance():
# set Trigger to HIGH
GPIO.output(GPIO_TRIGGER, True)
# set Trigger after 0.01ms to LOW
time.sleep(0.00001)
GPIO.output(GPIO_TRIGGER, False)
StartTime = time.time()
StopTime = time.time()
# save StartTime
while GPIO.input(GPIO_ECHO) == 0:
StartTime = time.time()
# save time of arrival
while GPIO.input(GPIO_ECHO) == 1:
StopTime = time.time()
# time difference between start and arrival
TimeElapsed = StopTime - StartTime
# multiply with the sonic speed (34300 cm/s)
# and divide by 2, because there and back
distance = (TimeElapsed * 34300) / 2
return distance
################################## SOCKET THREAD ######################################################
def socket_thread(conn):
print 'Socket.IO Thread Started.'
def empid_received():
socket.emit('event-ask-cardno')
print "ASK CARD NO"
def cardno_received():
print "Card No received"
conn.send(False)
socket.on('event-empid-received', empid_received)
socket.on('event-cardno-received', cardno_received)
socket.wait()
def findquery(parent_conn):
global resp_text, mute, query, beep
keyboard_on = False
if resp_text == "Sorry, I can't help.":
query = "Talk to Reebo"
mute = True
elif resp_text == "Alright! Say Cheese!":
print "camera"
aframe = webcam.read()[1]
cv2.imwrite("/home/pi/reebo-backend/selfie.jpg", aframe)
socket.emit('event-take-selfie')
#mute=False
elif resp_text.startswith("Can you please smile for the camera?"):
mute = False
beep = False
print "BEEP"
time.sleep(5)
aframe = webcam.read()[1]
cv2.imwrite("/home/pi/reebo-backend/selfie.jpg", aframe)
socket.emit('event-take-selfie')
query = "Say@#$: Thank you. Please enter your employee ID and card number"
assistant.assist()
socket.emit('event-ask-empid')
keyboard_on = True
print "KEYBOARD in findquery: ", keyboard_on
keyboard_on = parent_conn.recv()
query = "Say@#$: Thank You. You will be granted access shortly"
mute = False
beep = False
if len(sys.argv) > 1:
port = sys.argv[1]
else:
port = '/dev/serial0'
try:
# Open serial port
ser = serial.Serial(port,
baudrate=115200,
bytesize=serial.EIGHTBITS,
stopbits=serial.STOPBITS_ONE,
parity=serial.PARITY_NONE,
rtscts=False,
dsrdtr=False,
timeout=0)
print "Open serial port sucessfully."
print(ser.name)
except Exception as e:
print e
print "Error opening serial port."
sys.exit()
try:
cap = MPR121.MPR121()
time.sleep(3)
#
if not cap.begin():
print('Error initializing MPR121. Check your wiring!')
except Exception as e:
print(e)
pass
TezHead = TezCmd.Controller(ser)
TezHead.SetMouth(0x110E00)
time.sleep(1)
#TezHead.SetPid(1, 26, 12, 16)
TezHead.SetPid(1, 26, 2, 16)
#TezHead.SetPid(2, 26, 12, 16)
TezHead.SetPid(2, 26, 2, 16)
time.sleep(1)
TezHead.SetServo(1, Xcoor, 100)
TezHead.SetServo(2, Ycoor, 100)
time.sleep(1)
TezHead.SetNoseColor(0)
webcam = cv2.VideoCapture(
-1) # Get ready to start getting images from the webcam
webcam.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH,
320) # I have found this to be about the highest-
webcam.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT,
240) # resolution you'll want to attempt on the pi
#webcam.set(cv2.CV_CAP_PROP_BUFFERSIZE, 2) # frame buffer storage
if not webcam:
print "Error opening WebCAM"
sys.exit(1)
#open = False
frontalface = cv2.CascadeClassifier(
"/home/pi/Documents/Python projects/haarcascade_frontalface_alt2.xml"
) # frontal face pattern detection
profileface = cv2.CascadeClassifier(
"/home/pi/Documents/Python projects/haarcascade_profileface.xml"
) # side face pattern detection
#parent_conn, child_conn = Pipe()
t1 = Thread(target=findFace)
t1.start()
t3 = Thread(target=facerec)
parent_conn, child_conn = Pipe()
socket_thd = Thread(target=socket_thread, args=(child_conn, ))
socket_thd.start()
with SampleAssistant(lang, device_model_id, device_id, conversation_stream,
display, grpc_channel, grpc_deadline,
device_handler) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.assist()
return
# If no file arguments supplied:
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# When the once flag is set, don't wait for a trigger. Otherwise, wait.
wait_for_user_trigger = not once
button_once = False
#playsound('/home/pi/env/HiTej.wav')
print "playsound"
mute = True
query = "Talk to Reebo"
print query
#################################################################################3
#~ query,mute=findquery()
#####################################FIND QUERY AND MUTE#####################3
assistant.assist()
mute = False
query = "audio"
time.sleep(1)
updt_time = time.time()
stream = conversation_stream
num_frames = wavep.getnframes(
) # number of frames in audio response file
resp_samples = wavep.readframes(num_frames) # get frames from wav file
num_frames2 = wavep2.getnframes(
) # number of frames in audio response file
resp_samples2 = wavep2.readframes(
num_frames2) # get frames from wav file
name = ""
while True:
#if wait_for_user_trigger:
#logging.info('Press key')
#x=raw_input()
#~ stream.start_recording() # unelegant method to access private methods..
findquery(parent_conn)
if mute == False or beep == True:
print "beep"
stream.start_playback()
#~ stream.stop_recording()
stream.write(
resp_samples) # write response sample to output stream
print "HI"
stream.stop_playback()
assistant.assist()
beep = False
query = "audio"
mute = False
#updt_time=time.time()
print time.time() - updt_time
dist = distance()
#~ if dist<50:
#~ print dist
#~ updt_time=time.time()
if time.time() - updt_time > 10:
name2 = ""
if onceface == True:
facerec_en = False
print "Thread Status", t3.is_alive()
if t3.is_alive():
t3.terminate()
t3.join(1)
print "t3 terminated"
print facerec_en
onceface = False
print("in loop")
query = "audio"
dist = distance()
print faceFound
while faceFound == False:
time.sleep(0.1)
#print "FACE FALSE"
#~ if dist>60:
#~ #mute=False
#~ updt_time=time.time()
#~ print query
#~ while dist>60:
#~ dist=distance()
#~ time.sleep(0.1)
#~ print dist
#~ query="Hi"
#~ print query
#~ assistant.assist()
#~ print ("playback")
#~ socket.emit('event-robot-message',"Hi! Do you want some help ?")
print "Thread Status", t3.is_alive()
t3 = Thread(target=facerec)
t3.start()
#~ query="Talk to Tej"
#~ mute=True
#~ assistant.assist()
#time.sleep(3)
stream.start_playback()
#~ stream.stop_recording()
stream.write(
resp_samples2) # write response sample to output stream
socket.emit(
'event-robot-message',
"Hi! My Name is Reebo. I\'ll be your personal assistant for today"
)
stream.stop_playback()
query = "Say:@#$: "
if len(name2) >= 1:
for i in range(0, len(name2)):
if name2[i] != "" and name2[i] != "Unknown":
query = query + " Hi " + str(name2[i]) + "!"
query = query + "What can I do for you?"
mute = False
print query
assistant.assist()
#time.sleep(0.1)
#~ stream.start_playback()
#~ stream.stop_recording()
#~ stream.write(resp_samples2) # write response sample to output stream
#~ stream.stop_playback()
#~ #query="Talk to Tej"
#~ mute=True
#~ assistant.assist()
#~ updt_time= time.time()
query = "audio"
mute = False
def main(api_endpoint, credentials, project_id, device_model_id, device_id,
device_config, lang, display, verbose, input_audio_file,
output_audio_file, audio_sample_rate, audio_sample_width,
audio_iter_size, audio_block_size, audio_flush_size, grpc_deadline,
once, *args, **kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_source = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
if output_audio_file:
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id, device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = ('https://%s/v1alpha2/projects/%s/devices' %
(api_endpoint, project_id))
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
GPIO.setmode(GPIO.BCM)
GPIO.setup(12, GPIO.OUT, initial=GPIO.LOW)
@device_handler.command('action.devices.commands.OnOff')
def onoff(on):
if on:
logging.info('Turning device on')
else:
logging.info('Turning device off')
@device_handler.command('com.example.commands.BlinkLight')
def blink(speed, number):
logging.info('Blinking device %s times.' % number)
delay = 1
if speed == "SLOWLY":
delay = 2
elif speed == "QUICKLY":
delay = 0.5
for i in range(int(number)):
logging.info('Device is blinking.')
time.sleep(delay)
with SampleAssistant(lang, device_model_id, device_id, conversation_stream,
display, grpc_channel, grpc_deadline,
device_handler) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.assist()
return
# If no file arguments supplied:
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# When the once flag is set, don't wait for a trigger. Otherwise, wait.
wait_for_user_trigger = not once
porcupine = PorcupineDemo(library_path=pvporcupine.LIBRARY_PATH,
model_path=pvporcupine.MODEL_PATH,
keyword_paths=[
pvporcupine.KEYWORD_PATHS[x]
for x in ['terminator']
],
sensitivities=[0.95],
output_path=None,
input_device_index=None)
porcupine_thread = threading.Thread(target=porcupine.run)
porcupine_thread.start()
bill = Billy()
while True:
if wait_for_user_trigger:
while not porcupine.detected:
time.sleep(0.1)
#click.pause(info='Press Enter to send a new request...')
assistant.bill.eye_on()
continue_conversation = assistant.assist()
# wait for user trigger if there is no follow-up turn in
# the conversation.
wait_for_user_trigger = not continue_conversation
# If we only want one conversation, break.
if once and (not continue_conversation):
break
assistant.bill.eye_off()
def main(api_endpoint, credentials, project_id, device_model_id, device_id,
device_config, lang, verbose, input_audio_file, output_audio_file,
audio_sample_rate, audio_sample_width, audio_iter_size,
audio_block_size, audio_flush_size, grpc_deadline, once, *args,
**kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# GPIO setup
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
GPIO.setup(sBUTTON, GPIO.IN)
GPIO.setup(gBUTTON, GPIO.IN, pull_up_down=GPIO.PUD_UP)
GPIO.setup(gLED, GPIO.OUT, initial=GPIO.HIGH)
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_source = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
if output_audio_file:
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id, device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = ('https://%s/v1alpha2/projects/%s/devices' %
(api_endpoint, project_id))
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
image_dir = '/home/pi/robot/image/'
def camera():
now = datetime.now()
dir_name = now.strftime('%Y%m%d')
dir_path = image_dir + dir_name + '/'
file_name = now.strftime('%H%M%S') + '.jpg'
fname = dir_path + file_name
try:
os.mkdir(dir_path)
except OSError:
logging.info('Date dir already exists')
os.system('raspistill -o ' + fname)
return fname
@device_handler.command('action.devices.commands.OnOff')
def onoff(on):
if on:
logging.info('Turning device on')
#Klight added
GPIO.output(gLED, GPIO.HIGH)
time.sleep(1)
GPIO.output(gLED, GPIO.LOW)
#os.system('python /home/pi/robot/blinkt_color.py')
else:
logging.info('Turning device off')
GPIO.output(gLED, GPIO.LOW)
# Kblink
@device_handler.command('com.acme.commands.blink_light')
def blinker(number, lightKey):
logging.info('Blinking device %s times.' % number)
for i in range(int(number)):
logging.info('Device is blinking %s/%s time.' % (i, number))
time.sleep(0.5)
GPIO.output(gLED, GPIO.HIGH)
time.sleep(0.5)
GPIO.output(gLED, GPIO.LOW)
# Kcamera
@device_handler.command('com.acme.commands.pi_camera')
def picamera(number, cameraKey):
logging.info('Taking a %s %s times.' % (cameraKey, number))
GPIO.output(gLED, GPIO.HIGH)
if cameraKey: # in ('picture', 'camera', 'photo'):
fname = camera()
result = os.system(
'python3 /home/pi/AIY-projects-python/src/examples/voice/visiontalk.py face '
+ fname) #robot/vision.py "" '+fname)
logging.info('Image:' + fname)
GPIO.output(gLED, GPIO.LOW)
@device_handler.command('com.acme.commands.pi_jp')
def pijp(number, cameraKey):
logging.info(cameraKey)
GPIO.output(gLED, GPIO.HIGH)
if cameraKey: # in ('picture', 'camera', 'photo'):
fname = camera()
result = os.system(
'python3 /home/pi/AIY-projects-python/src/examples/voice/visiontalk.py face '
+ fname) #robot/vision.py "" '+fname)
logging.info('Image:' + fname)
GPIO.output(gLED, GPIO.LOW)
@device_handler.command('com.acme.commands.pi_motor')
def pimotor(number, directionKey):
logging.info(directionKey)
GPIO.output(gLED, GPIO.HIGH)
result = os.system('python3 /home/pi/robot/motor.py')
GPIO.output(gLED, GPIO.LOW)
"""if color.get('name') == "blue": #shoot:
logging.info('Camera shoot!')
GPIO.output(gLED, GPIO.HIGH)
else:
logging.info('Something else happened.')
GPIO.output(gLED, GPIO.LOW)"""
with SampleAssistant(lang, device_model_id, device_id, conversation_stream,
grpc_channel, grpc_deadline,
device_handler) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.assist()
return
# If no file arguments supplied:
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# When the once flag is set, don't wait for a trigger. Otherwise, wait.
wait_for_user_trigger = not once
while True:
if wait_for_user_trigger:
# GPIO button added
state = GPIO.input(gBUTTON)
logging.info("Push button to Google talk!")
GPIO.output(gLED, GPIO.HIGH)
time.sleep(0.2)
GPIO.output(gLED, GPIO.LOW)
if state:
pass #continue
else:
continue #pass
#click.pause(info='Press Enter to send a new request...')
continue_conversation = assistant.assist()
# wait for user trigger if there is no follow-up turn in
# the conversation.
wait_for_user_trigger = not continue_conversation
# If we only want one conversation, break.
if once and (not continue_conversation):
break
def main(api_endpoint, credentials, project_id, device_model_id, device_id,
device_config, lang, verbose, input_audio_file, output_audio_file,
audio_sample_rate, audio_sample_width, audio_iter_size,
audio_block_size, audio_flush_size, grpc_deadline, once, *args,
**kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_source = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
if output_audio_file:
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id, device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = ('https://%s/v1alpha2/projects/%s/devices' %
(api_endpoint, project_id))
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
def main(api_endpoint, credentials, project_id, device_model_id, device_id,
device_config, lang, verbose, input_audio_file, output_audio_file,
audio_sample_rate, audio_sample_width, audio_iter_size,
audio_block_size, audio_flush_size, grpc_deadline, once, *args,
**kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_source = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
if output_audio_file:
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id, device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = ('https://%s/v1alpha2/projects/%s/devices' %
(api_endpoint, project_id))
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
@device_handler.command('action.devices.commands.OnOff')
def onoff(on):
if on:
logging.info('Turning device on')
else:
logging.info('Turning device off')
@device_handler.command('com.acme.commands.play_kkbox')
def play_music(songName
): # You must match the parameters from the Action Package.
logging.info('play %s ' % songName)
# url = 'https://widget.kkbox.com/v1/?id=4kxvr3wPWkaL9_y3o_&type=song&terr=TW&lang=TC&autoplay=true&loop=true'
# result = subprocess.Popen(['firefox', url], stdout=subprocess.PIPE)
# print(result.stdout)
from kkbox_partner_sdk.auth_flow import KKBOXOAuth
CLIENT_ID = 'cea7cb81a731b46caeb9b8c0e25abd22'
CLIENT_SECRET = '6317f7914dcc9e1fb50d01f744b3f1fb'
auth = KKBOXOAuth(CLIENT_ID, CLIENT_SECRET)
token = auth.fetch_access_token_by_client_credentials()
print(token)
from kkbox_partner_sdk.api import KKBOXAPI
kkboxapi = KKBOXAPI(token)
keyword = '女武神'
types = ['track']
result = kkboxapi.search_fetcher.search(keyword, types)
tracks = result['tracks']['data']
# print('搜尋結果是:{}'.format(tracks))
track_id = result['tracks']['data'][0]['id']
track_info = kkboxapi.track_fetcher.fetch_track(track_id)
url = track_info['url']
print('歌曲資訊連結是:{}'.format(url))
send(url)
tickets = kkboxapi.ticket_fetcher.fetch_media_provision(track_id)
url = tickets['url']
print('下載位置連結是:{}'.format(url))
print('底下是播放資訊')
import subprocess
subprocess.run(['ffplay', '-nodisp', '-autoexit', url])
with SampleAssistant(lang, device_model_id, device_id, conversation_stream,
grpc_channel, grpc_deadline,
device_handler) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.assist()
return
# If no file arguments supplied:
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# When the once flag is set, don't wait for a trigger. Otherwise, wait.
once = True
wait_for_user_trigger = not once
while True:
if wait_for_user_trigger:
click.pause(info='Press Enter to send a new request...')
continue_conversation = assistant.assist()
# wait for user trigger if there is no follow-up turn in
# the conversation.
wait_for_user_trigger = not continue_conversation
# If we only want one conversation, break.
if once and (not continue_conversation):
break
def main(api_endpoint, credentials, project_id, device_model_id, device_id,
device_config, lang, display, verbose, input_audio_file,
output_audio_file, audio_sample_rate, audio_sample_width,
audio_iter_size, audio_block_size, audio_flush_size, grpc_deadline,
once, *args, **kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_source = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
if output_audio_file:
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id, device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = ('https://%s/v1alpha2/projects/%s/devices' %
(api_endpoint, project_id))
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
@device_handler.command('action.devices.commands.OnOff')
def onoff(on):
if on:
logging.info('Turning device on')
else:
logging.info('Turning device off')
@device_handler.command('com.example.commands.BlinkLight')
def blink(speed, number):
logging.info('Blinking device %s times.' % number)
delay = 1
if speed == "SLOWLY":
delay = 2
elif speed == "QUICKLY":
delay = 0.5
for i in range(int(number)):
logging.info('Device is blinking.')
time.sleep(delay)
# text to speech : text를 음성으로 바꾸어서 스피커에 출력
def tts(text, lang='ko'):
if lang == None:
speech = gTTS(text=text)
else:
speech = gTTS(text=text, lang=lang)
speech.save('tmp.mp3')
os.system("omxplayer tmp.mp3")
os.remove('tmp.mp3')
# speech to text : speech를 text를 바꾸어서 text 변수에 저장
def stt(commands=None, is_respon=False):
# voice recognition/respone.*******
continue_conversation, stt_tmp = assistant.assist(commands=commands,
is_respon=is_respon)
wait_for_user_trigger = not continue_conversation
#if once and (not continue_conversation):
# break
text = stt_tmp
return text
with SampleAssistant(lang, device_model_id, device_id, conversation_stream,
display, grpc_channel, grpc_deadline,
device_handler) as assistant:
if input_audio_file or output_audio_file:
assistant.assist()
return
wait_for_user_trigger = not once
# 내가 말할 command들
select = ['컨트롤', '교육']
control = ['초음파', '추적', '불빛', '명령', '꺼']
yn = ['네', '아니']
move = ['앞으로', '뒤로', '오른쪽', '왼쪽']
first = True
more = False
# dc,servo,ultra sonic,led
module = m.mode()
while True:
if first == True:
tts("컨트롤모드와 교육모드 중에 선택해주세요 ,.,.,.")
first = False
text = stt(select, is_respon=True)
print("[INFO] answer : ", text)
if select[0] in text:
print('동작 모드 ')
tts('동작모드 입니다.... ')
while True:
if more == True:
tts("동작모드를 더 하실껀가요 ")
text = stt(is_respon=False)
if yn[0] in text:
more = False
tts('다시 시작할게요 ')
if yn[1] in text:
more = False
first = True
break
text = stt(is_respon=False)
print("[INFO] answer : ", text)
if control[0] in text:
print("초음파 모드")
tts('초음파 모드 입니다 ')
sel = random.randrange(2)
if sel == 0:
print('1')
module.avoid()
else:
print('2')
module.avoid2()
tts("초음파 모드가 끝났어요 ")
more = True
elif control[1] in text:
print('추적 모드')
tts('추적 모드 입니다 ')
module.tracking()
tts("추적 모드가 끝났어요 ")
more = True
elif control[2] in text:
print('불빛 모드')
tts('블빛 모드 입니다 ')
module.servo_led()
tts("붗빛 모드가 끝났어요 ")
more = True
elif control[3] in text:
print('명령모드')
tts('명령 모드 입니다 ')
try:
start = time.time()
while True:
if time.time() - start > 60:
break
text = stt(commands=move, is_respon=False)
print(text)
if move[0] in text:
#if module.distance() > 80:
module.go(100, 100)
sleep(2)
module.stop()
elif move[1] in text:
module.back(100, 100)
sleep(2)
module.stop()
elif move[2] in text:
module.spin_right(100, 100)
sleep(3)
module.stop()
elif move[3] in text:
module.spin_left(100, 100)
sleep(3)
module.stop()
except KeyboardInterrupt:
module.stop()
module.stop()
tts("명령모드가 끝났어요 ")
more = True
elif control[4] in text:
tts("끝낼게요 ")
first = True
break
elif select[1] in text:
#DB Setting
host = '192.168.0.8'
user = '******'
dbname = 'Education'
password = '******'
ser = 1
name = 'LEE'
e = Education(host, user, dbname, password, ser, name)
conn, cur = e.connection()
e.dbclean(conn, cur)
tts("교육모드 입니다. ")
count = 0
stage = 0
while True:
distance = module.distance()
if distance < 50:
count += 1
if count > 100:
count = 0
tts("반가워요 제가 동화를 들려드릴게요 ")
sleep(1)
os.system(
"omxplayer ~/workspace/Raspi_google_robot/stt/ka_01.mp3"
)
tts("동화가 끝났어요 재미있으셨나요 ")
sleep(1)
while True:
text = stt(is_respon=False)
e.isfun(conn, cur, text)
if yn[0] in text:
tts("고마워요 다음에 또 들려줄게요 ")
break
elif yn[1] in text:
tts("나중에는 더 재미있는 이야기를 들려줄게요 ")
break
e.search_isfun(conn, cur)
tts("우리 같이 숫자 공부해요 ")
sleep(1)
tts("일 더하기 이는 무엇일까요 ")
life = 5
math_pt = 100
while True:
text = stt(is_respon=False)
print(text)
if '3' in text:
tts("정답이에요 축하해요 ")
break
elif not text:
pass
else:
tts("틀렸어요 다시한번 말해주세요 ")
life -= 1
math_pt -= 5
if life == 0:
tts("코인을 다썼어요 아쉽네요 다음 기회에 또 봐요 ")
break
e.math(conn, cur, math_pt)
e.search_math(conn, cur)
time.sleep(1)
tts("우리 같이 발음을 맞춰봐요 ")
life = 5
english_pt = 100
quiz = 'orange'
tts(quiz, lang=None)
while True:
text = stt(is_respon=False)
print(text)
if '오렌지' in text:
tts("정답 이에요")
break
elif not text:
pass
else:
tts("틀렸어요 다시한번 말해주세요 ")
life -= 1
english_pt -= 5
if life == 0:
tts("아쉽네요 다음 기회에 또 봐요 ")
break
e.english(conn, cur, english_pt)
e.search_english(conn, cur)
time.sleep(1)
tts("교육모드가 끝났습니다. ")
e.dbclose(conn, cur)
first = True
break
else:
first = True
m.clean()
def main(api_endpoint, credentials, project_id, device_model_id, device_id,
device_config, lang, verbose, input_audio_file, output_audio_file,
audio_sample_rate, audio_sample_width, audio_iter_size,
audio_block_size, audio_flush_size, grpc_deadline, once, *args,
**kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_source = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
if output_audio_file:
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
device_handler = device_helpers.DeviceRequestHandler(device_id)
@device_handler.command('action.devices.commands.OnOff')
def onoff(on):
if on:
logging.info('Turning device on')
else:
logging.info('Turning device off')
if not device_id or not device_model_id:
logging.error(
'No device_id or no device_model_id found. Please check config.py')
sys.exit(0)
with SampleAssistant(lang, device_model_id, device_id, conversation_stream,
grpc_channel, grpc_deadline,
device_handler) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.assist()
return
# If no file arguments supplied:
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# When the once flag is set, don't wait for a trigger. Otherwise, wait.
wait_for_user_trigger = not once
while True:
if wait_for_user_trigger:
click.pause(info='Press Enter to send a new request...')
continue_conversation = assistant.assist()
# wait for user trigger if there is no follow-up turn in
# the conversation.
wait_for_user_trigger = not continue_conversation
# If we only want one conversation, break.
if once and (not continue_conversation):
break
def main(api_endpoint, credentials, project_id, device_model_id, device_id,
device_config, lang, display, verbose, input_audio_file,
output_audio_file, audio_sample_rate, audio_sample_width,
audio_iter_size, audio_block_size, audio_flush_size, grpc_deadline,
once, *args, **kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_source = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
if output_audio_file:
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id, device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = ('https://%s/v1alpha2/projects/%s/devices' %
(api_endpoint, project_id))
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
@device_handler.command('action.devices.commands.OnOff')
def onoff(on):
if on:
logging.info('Turning device on')
else:
logging.info('Turning device off')
@device_handler.command('com.example.commands.BlinkLight')
def blink(speed, number):
logging.info('Blinking device %s times.' % number)
delay = 1
if speed == "SLOWLY":
delay = 2
elif speed == "QUICKLY":
delay = 0.5
for i in range(int(number)):
logging.info('Device is blinking.')
time.sleep(delay)
with SampleAssistant(lang, device_model_id, device_id, conversation_stream,
display, grpc_channel, grpc_deadline,
device_handler) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.assist()
return
# ウェイクワードでの起動
porcupine = None
pa = None
audio_stream = None
try:
# ハンドル作成
porcupine = pvporcupine.create(keywords=['jarvis', 'snowboy'])
# pyaudioでの録音
pa = pyaudio.PyAudio()
audio_stream = pa.open(rate=porcupine.sample_rate,
channels=1,
format=pyaudio.paInt16,
input=True,
frames_per_buffer=porcupine.frame_length)
# 待ちループ
def get_next_audio_frame():
pcm = audio_stream.read(porcupine.frame_length,
exception_on_overflow=False)
pcm = struct.unpack_from("h" * porcupine.frame_length, pcm)
return pcm
while True:
keyword_index = porcupine.process(get_next_audio_frame())
if keyword_index >= 0:
# detection event logic/callback
continue_conversation = assistant.assist()
while audio_stream.get_read_available() > 0:
get_next_audio_frame()
finally:
if porcupine is not None:
porcupine.delete()
if audio_stream is not None:
audio_stream.close()
if pa is not None:
pa.terminate()
# If no file arguments supplied:
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# When the once flag is set, don't wait for a trigger. Otherwise, wait.
wait_for_user_trigger = not once
while True:
if wait_for_user_trigger:
click.pause(info='Press Enter to send a new request...')
continue_conversation = assistant.assist()
# wait for user trigger if there is no follow-up turn in
# the conversation.
wait_for_user_trigger = not continue_conversation
# If we only want one conversation, break.
if once and (not continue_conversation):
break
def main(api_endpoint, credentials, project_id,
device_model_id, device_id, device_config, lang, verbose,
input_audio_file, output_audio_file,
audio_sample_rate, audio_sample_width,
audio_iter_size, audio_block_size, audio_flush_size,
grpc_deadline, once, *args, **kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width
)
else:
audio_source = audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size
)
if output_audio_file:
audio_sink = audio_helpers.WaveSink(
open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width
)
else:
audio_sink = audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size
)
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info("Using device model %s and device id %s",
device_model_id,
device_id)
except Exception as e:
logging.warning('Device config not found: %s' % e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = (
'https://%s/v1alpha2/projects/%s/devices' % (api_endpoint,
project_id)
)
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials
)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
@device_handler.command('action.devices.commands.OnOff')
def onoff(on):
if on:
logging.info('Turning device on')
else:
logging.info('Turning device off')
with SampleAssistant(lang, device_model_id, device_id,
conversation_stream,
grpc_channel, grpc_deadline,
device_handler) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.assist()
return
# If no file arguments supplied:
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# When the once flag is set, don't wait for a trigger. Otherwise, wait.
wait_for_user_trigger = not once
while True:
print("[joe debug]")
if wait_for_user_trigger:
click.pause(info='Press Enter to send a new request...')
continue_conversation = assistant.assist()
# wait for user trigger if there is no follow-up turn in
# the conversation.
wait_for_user_trigger = not continue_conversation
# If we only want one conversation, break.
if once and (not continue_conversation):
break
def main(api_endpoint, credentials, project_id, device_model_id, device_id,
device_config, lang, display, verbose, input_audio_file,
output_audio_file, audio_sample_rate, audio_sample_width,
audio_iter_size, audio_block_size, audio_flush_size, grpc_deadline,
once, *args, **kwargs):
"""Samples for the Google Assistant API.
Examples:
Run the sample with microphone input and speaker output:
$ python -m googlesamples.assistant
Run the sample with file input and speaker output:
$ python -m googlesamples.assistant -i <input file>
Run the sample with file input and output:
$ python -m googlesamples.assistant -i <input file> -o <output file>
"""
# Setup logging.
logging.basicConfig(level=logging.DEBUG if verbose else logging.INFO)
# Load OAuth 2.0 credentials.
try:
with open(credentials, 'r') as f:
credentials = google.oauth2.credentials.Credentials(token=None,
**json.load(f))
http_request = google.auth.transport.requests.Request()
credentials.refresh(http_request)
except Exception as e:
logging.error('Error loading credentials: %s', e)
logging.error('Run google-oauthlib-tool to initialize '
'new OAuth 2.0 credentials.')
sys.exit(-1)
# Create an authorized gRPC channel.
grpc_channel = google.auth.transport.grpc.secure_authorized_channel(
credentials, http_request, api_endpoint)
logging.info('Connecting to %s', api_endpoint)
# Configure audio source and sink.
audio_device = None
if input_audio_file:
audio_source = audio_helpers.WaveSource(
open(input_audio_file, 'rb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_source = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
if output_audio_file:
audio_sink = audio_helpers.WaveSink(open(output_audio_file, 'wb'),
sample_rate=audio_sample_rate,
sample_width=audio_sample_width)
else:
audio_sink = audio_device = (audio_device
or audio_helpers.SoundDeviceStream(
sample_rate=audio_sample_rate,
sample_width=audio_sample_width,
block_size=audio_block_size,
flush_size=audio_flush_size))
# Create conversation stream with the given audio source and sink.
conversation_stream = audio_helpers.ConversationStream(
source=audio_source,
sink=audio_sink,
iter_size=audio_iter_size,
sample_width=audio_sample_width,
)
if not device_id or not device_model_id:
try:
with open(device_config) as f:
device = json.load(f)
device_id = device['id']
device_model_id = device['model_id']
logging.info('Using device model %s and device id %s',
device_model_id, device_id)
except Exception as e:
logging.warning('Device config not found: %s', e)
logging.info('Registering device')
if not device_model_id:
logging.error('Option --device-model-id required '
'when registering a device instance.')
sys.exit(-1)
if not project_id:
logging.error('Option --project-id required '
'when registering a device instance.')
sys.exit(-1)
device_base_url = ('https://%s/v1alpha2/projects/%s/devices' %
(api_endpoint, project_id))
device_id = str(uuid.uuid1())
payload = {
'id': device_id,
'model_id': device_model_id,
'client_type': 'SDK_SERVICE'
}
session = google.auth.transport.requests.AuthorizedSession(
credentials)
r = session.post(device_base_url, data=json.dumps(payload))
if r.status_code != 200:
logging.error('Failed to register device: %s', r.text)
sys.exit(-1)
logging.info('Device registered: %s', device_id)
pathlib.Path(os.path.dirname(device_config)).mkdir(exist_ok=True)
with open(device_config, 'w') as f:
json.dump(payload, f)
device_handler = device_helpers.DeviceRequestHandler(device_id)
yutube_html_template = """
<!DOCTYPE html>
<html>
<body>
<iframe id="player" type="text/html" width="640" height="390"
src="http://www.youtube.com/embed/%s?enablejsapi=1&modestbranding=1&autohide=1&mute=1&showinfo=0&controls=0&autoplay=1"
frameborder="0"></iframe>
</body>"""
api_key = "" # TODO
custom_search = "" # TODO
image_search = ImageSearch(api_key, custom_search)
youtube = YouTubeSearchService(api_key)
@device_handler.command('action.devices.commands.OnOff')
def onoff(on):
if on:
logging.info('Turning device on')
else:
logging.info('Turning device off')
@device_handler.command('com.example.commands.BlinkLight')
def blink(speed, number):
logging.info('Blinking device %s times.', number)
delay = 1
if speed == 'SLOWLY':
delay = 2
elif speed == 'QUICKLY':
delay = 0.5
for i in range(int(number)):
logging.info('Device is blinking.')
time.sleep(delay)
with SampleAssistant(lang, device_model_id, device_id, conversation_stream,
display, grpc_channel, grpc_deadline,
device_handler) as assistant:
# If file arguments are supplied:
# exit after the first turn of the conversation.
if input_audio_file or output_audio_file:
assistant.assist()
return
# If no file arguments supplied:
# keep recording voice requests using the microphone
# and playing back assistant response using the speaker.
# When the once flag is set, don't wait for a trigger. Otherwise, wait.
wait_for_user_trigger = not once
while True:
if wait_for_user_trigger:
click.pause(info='Press Enter to send a new request...')
# After stopping the hotwordAssistant in assist() method it needs to
# be recreated.
hotwordAssistant = HotwordAssistant(
device_model_id=device_model_id)
hotwordAssistant.assist()
continue_conversation = assistant.assist()
# wait for user trigger if there is no follow-up turn in
# the conversation.
wait_for_user_trigger = not continue_conversation
# If we only want one conversation, break.
if once and (not continue_conversation):
break