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Copy pathvoskcode.py
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101 lines (84 loc) · 2.9 KB
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import json
import queue
from argparse import RawDescriptionHelpFormatter, ArgumentParser
import playsound
import sounddevice as sd
import vosk
from vosk import *
from commands import commands
cmd = commands()
q = queue.Queue()
def int_or_str(text):
"""Helper function for argument parsing."""
try:
return int(text)
except ValueError:
return text
def callback(indata, frames, time, status):
"""This is called (from a separate thread) for each audio block."""
if status:
print(status, file=sys.stderr)
q.put(bytes(indata))
SetLogLevel(-1)
parser = ArgumentParser(add_help=False)
parser.add_argument(
'-l', '--list-devices', action='store_true',
help='show list of audio devices and exit')
args, remaining = parser.parse_known_args()
if args.list_devices:
print(sd.query_devices())
parser.exit(0)
parser = ArgumentParser(
description=__doc__,
formatter_class=RawDescriptionHelpFormatter,
parents=[parser])
parser.add_argument(
'-f', '--filename', type=str, metavar='FILENAME',
help='audio file to store recording to')
parser.add_argument(
'-m', '--model', type=str, metavar='MODEL_PATH',
help='Path to the model')
parser.add_argument(
'-d', '--device', type=int_or_str,
help='input device (numeric ID or substring)')
parser.add_argument(
'-r', '--samplerate', type=int, help='sampling rate')
args = parser.parse_args(remaining)
try:
if args.model is None:
args.model = "model"
if not os.path.exists(args.model):
print("Please download a model for your language from https://alphacephei.com/vosk/models")
print("and unpack as 'model' in the current folder.")
parser.exit(0)
if args.samplerate is None:
device_info = sd.query_devices(args.device, 'input')
# soundfile expects an int, sounddevice provides a float:
args.samplerate = int(device_info['default_samplerate'])
model = vosk.Model(args.model)
if args.filename:
dump_fn = open(args.filename, "wb")
else:
dump_fn = None
with sd.RawInputStream(samplerate=args.samplerate, blocksize=8000, device=args.device, dtype='int16',
channels=1, callback=callback):
playsound.playsound(".\sounds\start.wav")
print('#' * 80)
print("LucasIA Launched")
print("Version: V2.0.1 CLI")
print("Credits: Vosk API, OXipro")
print('#' * 80)
rec = vosk.KaldiRecognizer(model, args.samplerate)
while True:
data = q.get()
if rec.AcceptWaveform(data):
parler = json.loads(rec.FinalResult())
print(parler['text'])
cmd.commands(parler['text'])
if dump_fn is not None:
dump_fn.write(data)
except KeyboardInterrupt:
print('\nLucasIA stopped')
parser.exit(0)
except Exception as e:
parser.exit(type(e).__name__ + ': ' + str(e))