def main():
parser = argparse.ArgumentParser()
parser.add_argument('--filename', '-f', default='recording.wav')
args = parser.parse_args()
with Board() as board:
print('Press button to start recording.')
board.button.wait_for_press()
done = threading.Event()
board.button.when_pressed = done.set
def wait():
start = time.monotonic()
while not done.is_set():
duration = time.monotonic() - start
print('Recording: %.02f seconds [Press button to stop]' %
duration)
time.sleep(0.5)
form = AudioFormat(sample_rate_hz=16000,
num_channels=1,
bytes_per_sample=2)
record_file(form, filename=args.filename, wait=wait, filetype='wav')
print('Press button to play recorded sound.')
board.button.wait_for_press()
print('Playing...')
play_wav(args.filename)
print('Done.')
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--filename', '-f', default='recording.wav')
args = parser.parse_args()
with Board() as board:
done = threading.Event()
form = AudioFormat(sample_rate_hz=16000,
num_channels=1,
bytes_per_sample=2)
record_file(form,
filename=args.filename,
wait=interval_predicate,
filetype='wav')
print('[EQUIBOX] Recorded Interval')
def voice_to_text(filename='recording.wav'):
client = speech.SpeechClient()
with Board() as board:
# logging.debug('Press button to start recording.')
# board.button.wait_for_press()
# done = threading.Event()
# board.button.when_pressed = done.set
def wait():
start = time.monotonic()
duration = 0
while duration < 7: #not done.is_set():
duration = time.monotonic() - start
logging.debug('Recording: %.02f seconds' % duration)
time.sleep(0.5)
format = AudioFormat(sample_rate_hz=44100,
num_channels=1,
bytes_per_sample=2)
record_file(format, filename=filename, wait=wait, filetype='wav')
#logging.debug('Press button to play recorded sound.')
#board.button.wait_for_press()
# logging.debug('Playing...')
# play_wav(filename)
# logging.debug('Done.')
# use speech to
with io.open(filename, 'rb') as audio_file:
content = audio_file.read()
audio = types.RecognitionAudio(content=content)
config = types.RecognitionConfig(
encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16,
language_code='en-US')
response = client.recognize(config, audio)
msg = ""
for result in response.results:
msg += result.alternatives[0].transcript
logging.debug('Transcript: {}'.format(
result.alternatives[0].transcript))
return msg
from aiy.assistant import auth_helpers, device_helpers
from aiy.board import Led
from aiy.voice.audio import AudioFormat, Recorder, BytesPlayer
logger = logging.getLogger(__name__)
ASSISTANT_API_ENDPOINT = 'embeddedassistant.googleapis.com'
END_OF_UTTERANCE = embedded_assistant_pb2.AssistResponse.END_OF_UTTERANCE
DIALOG_FOLLOW_ON = embedded_assistant_pb2.DialogStateOut.DIALOG_FOLLOW_ON
CLOSE_MICROPHONE = embedded_assistant_pb2.DialogStateOut.CLOSE_MICROPHONE
PLAYING = embedded_assistant_pb2.ScreenOutConfig.PLAYING
DEFAULT_GRPC_DEADLINE = 60 * 3 + 5
AUDIO_SAMPLE_RATE_HZ = 16000
AUDIO_FORMAT=AudioFormat(sample_rate_hz=AUDIO_SAMPLE_RATE_HZ,
num_channels=1,
bytes_per_sample=2)
def _normalize_audio_buffer(buf, volume_percentage, sample_width=2):
assert sample_width == 2
scale = math.pow(2, 1.0 * volume_percentage / 100) - 1
arr = array.array('h', buf)
for i in range(0, len(arr)):
arr[i] = int(arr[i] * scale)
return arr.tobytes()
# https://developers.google.com/assistant/sdk/reference/rpc/
class AssistantServiceClient:
def __init__(self, language_code='en-US', volume_percentage=100):
self._volume_percentage = volume_percentage # Mutable state.
self._conversation_state = None # Mutable state.
import requests import http.client, urllib.request import json import io from scipy import spatial import json from collections import OrderedDict import socket import struct import online_T2C_trans import re from aiy.board import Board from aiy.voice.audio import AudioFormat, play_wav, record_file, Recorder Lab = AudioFormat(sample_rate_hz=16000, num_channels=1, bytes_per_sample=2) data_list = [] #原資料 cos_list = [] #計算cos用 symptom_list = [] #症狀陣列 sym_name = [] #症狀名稱(問診) yesno = [] #是否 score = [0] * 9 #病症分數 patient = [0] * 39 sym_list = [] #目前症狀 sym_nolist = [] #not症狀 ill_list = [] #目前可能疾病 sym_count = 0 #症狀次數 ill_sym_num = [6, 4, 5, 10, 4, 8, 9, 6, 10] #每個疾病的症狀數
