Files
linux-voice-assistant/linux_voice_assistant/__main__.py
T
imonlinux 5d1df036f8 ChatGPT modified code for the option of using OWW
If the arguments for OWW are included, microwakeword will be disabled and OWW will be used for detection. Requires a running instance of OWW on the local machine using port 10400. If the OWW arguments are excluded, microwakeword is used for detection.

--wake-uri 'tcp://127.0.0.1:10400' \
  --wake-word-name 'marvin'
2025-09-09 16:51:44 -07:00

542 lines
19 KiB
Python

#!/usr/bin/env python3
import argparse
import asyncio
import json
import logging
import threading
import time
from collections.abc import Iterable
from dataclasses import dataclass
from pathlib import Path
from queue import Queue
from typing import Dict, List, Optional
# pylint: disable=no-name-in-module
import sounddevice as sd
from aioesphomeapi.api_pb2 import ( # type: ignore[attr-defined]
DeviceInfoRequest,
DeviceInfoResponse,
ListEntitiesDoneResponse,
ListEntitiesRequest,
MediaPlayerCommandRequest,
SubscribeHomeAssistantStatesRequest,
VoiceAssistantAnnounceFinished,
VoiceAssistantAnnounceRequest,
VoiceAssistantAudio,
VoiceAssistantConfigurationRequest,
VoiceAssistantConfigurationResponse,
VoiceAssistantEventResponse,
VoiceAssistantRequest,
VoiceAssistantSetConfiguration,
VoiceAssistantTimerEventResponse,
VoiceAssistantWakeWord,
)
from aioesphomeapi.model import (
VoiceAssistantEventType,
VoiceAssistantFeature,
VoiceAssistantTimerEventType,
)
from google.protobuf import message
from .api_server import APIServer
from .entity import ESPHomeEntity, MediaPlayerEntity
from .microwakeword import MicroWakeWord
from .openwakeword_client import WyomingWakeClient
from .mpv_player import MpvMediaPlayer
from .util import call_all, get_mac, is_arm
from .event_bus import EventBus
from .event_led import LedEvent
_LOGGER = logging.getLogger(__name__)
_MODULE_DIR = Path(__file__).parent
_REPO_DIR = _MODULE_DIR.parent
_WAKEWORDS_DIR = _REPO_DIR / "wakewords"
_SOUNDS_DIR = _REPO_DIR / "sounds"
if is_arm():
_LIB_DIR = _REPO_DIR / "lib" / "linux_arm64"
else:
_LIB_DIR = _REPO_DIR / "lib" / "linux_amd64"
@dataclass
class AvailableWakeWord:
id: str
wake_word: str
trained_languages: List[str]
config_path: Path
@dataclass
class ServerState:
name: str
mac_address: str
audio_queue: "Queue[Optional[bytes]]"
entities: List[ESPHomeEntity]
available_wake_words: Dict[str, AvailableWakeWord]
wake_word: MicroWakeWord
stop_word: MicroWakeWord
music_player: MpvMediaPlayer
tts_player: MpvMediaPlayer
wakeup_sound: str
timer_finished_sound: str
loop: asyncio.AbstractEventLoop
event_bus: EventBus
media_player_entity: Optional[MediaPlayerEntity] = None
satellite: "Optional[VoiceSatelliteProtocol]" = None
wyoming_wake: Optional[WyomingWakeClient] = None
use_wyoming_wake: bool = False
# -----------------------------------------------------------------------------
class VoiceSatelliteProtocol(APIServer):
def __init__(self, state: ServerState) -> None:
super().__init__(state.name)
self.state = state
self.state.satellite = self
if self.state.media_player_entity is None:
self.state.media_player_entity = MediaPlayerEntity(
server=self,
key=len(state.entities),
name="Media Player",
object_id="linux_voice_assistant_media_player",
music_player=state.music_player,
announce_player=state.tts_player,
)
self.state.entities.append(self.state.media_player_entity)
self._is_streaming_audio = False
self._tts_url: Optional[str] = None
self._tts_played = False
self._continue_conversation = False
self._timer_finished = False
self.state.event_bus.publish('ready', {})
_LOGGER.info('System is ready!')
def handle_voice_event(
self, event_type: VoiceAssistantEventType, data: Dict[str, str]
) -> None:
_LOGGER.debug("Voice event: type=%s, data=%s", event_type.name, data)
self.state.event_bus.publish(f'voice_{event_type.name}', data)
if event_type == VoiceAssistantEventType.VOICE_ASSISTANT_RUN_START:
self._tts_url = data.get("url")
self._tts_played = False
self._continue_conversation = False
elif event_type in (
VoiceAssistantEventType.VOICE_ASSISTANT_STT_VAD_END,
VoiceAssistantEventType.VOICE_ASSISTANT_STT_END,
):
self._is_streaming_audio = False
elif event_type == VoiceAssistantEventType.VOICE_ASSISTANT_INTENT_PROGRESS:
if data.get("tts_start_streaming") == "1":
# Start streaming early
self.play_tts()
elif event_type == VoiceAssistantEventType.VOICE_ASSISTANT_INTENT_END:
if data.get("continue_conversation") == "1":
self._continue_conversation = True
elif event_type == VoiceAssistantEventType.VOICE_ASSISTANT_TTS_END:
self._tts_url = data.get("url")
self.play_tts()
elif event_type == VoiceAssistantEventType.VOICE_ASSISTANT_RUN_END:
self._is_streaming_audio = False
if not self._tts_played:
self._tts_finished()
self._tts_played = False
# TODO: handle error
def handle_timer_event(
self,
event_type: VoiceAssistantTimerEventType,
msg: VoiceAssistantTimerEventResponse,
) -> None:
_LOGGER.debug("Timer event: type=%s", event_type.name)
if event_type == VoiceAssistantTimerEventType.VOICE_ASSISTANT_TIMER_FINISHED:
if not self._timer_finished:
self.state.stop_word.is_active = True
self._timer_finished = True
self.duck()
self._play_timer_finished()
def handle_message(self, msg: message.Message) -> Iterable[message.Message]:
_LOGGER.debug(f'message {msg.__name__}')
if isinstance(msg, VoiceAssistantEventResponse):
# Pipeline event
data: Dict[str, str] = {}
for arg in msg.data:
data[arg.name] = arg.value
self.handle_voice_event(VoiceAssistantEventType(msg.event_type), data)
elif isinstance(msg, VoiceAssistantAnnounceRequest):
_LOGGER.debug("Announcing: %s", msg.text)
assert self.state.media_player_entity is not None
urls = []
if msg.preannounce_media_id:
urls.append(msg.preannounce_media_id)
urls.append(msg.media_id)
self.state.stop_word.is_active = True
self._continue_conversation = msg.start_conversation
self.duck()
yield from self.state.media_player_entity.play(
urls, announcement=True, done_callback=self._tts_finished
)
elif isinstance(msg, VoiceAssistantTimerEventResponse):
self.handle_timer_event(VoiceAssistantTimerEventType(msg.event_type), msg)
elif isinstance(msg, DeviceInfoRequest):
yield DeviceInfoResponse(
uses_password=False,
name=self.state.name,
mac_address=self.state.mac_address,
voice_assistant_feature_flags=(
VoiceAssistantFeature.VOICE_ASSISTANT
| VoiceAssistantFeature.API_AUDIO
| VoiceAssistantFeature.ANNOUNCE
| VoiceAssistantFeature.START_CONVERSATION
| VoiceAssistantFeature.TIMERS
),
)
elif isinstance(msg, (
ListEntitiesRequest,
SubscribeHomeAssistantStatesRequest,
MediaPlayerCommandRequest,
),):
for entity in self.state.entities:
yield from entity.handle_message(msg)
if isinstance(msg, ListEntitiesRequest):
yield ListEntitiesDoneResponse()
elif isinstance(msg, VoiceAssistantConfigurationRequest):
yield VoiceAssistantConfigurationResponse(
available_wake_words=[
VoiceAssistantWakeWord(
id=ww.id,
wake_word=ww.wake_word,
trained_languages=ww.trained_languages,
)
for ww in self.state.available_wake_words.values()
],
active_wake_words=[self.state.wake_word.id],
max_active_wake_words=1,
)
_LOGGER.info("Connected to Home Assistant")
elif isinstance(msg, VoiceAssistantSetConfiguration):
# TODO: support multiple wake words
for wake_word_id in msg.active_wake_words:
if wake_word_id == self.state.wake_word.id:
# Already active
break
model_info = self.state.available_wake_words.get(wake_word_id)
if not model_info:
continue
_LOGGER.debug("Loading wake word: %s", model_info.config_path)
self.state.wake_word = MicroWakeWord.from_config(
model_info.config_path,
self.state.wake_word.libtensorflowlite_c_path,
)
_LOGGER.info("Wake word set: %s", self.state.wake_word.wake_word)
break
def handle_audio(self, audio_chunk: bytes) -> None:
if not self._is_streaming_audio:
return
self.send_messages([VoiceAssistantAudio(data=audio_chunk)])
def wakeup(self) -> None:
# Why are we stopping the timer? Wouldn't it be better to delay it?
if self._timer_finished:
# Stop timer instead
self._timer_finished = False
self.state.tts_player.stop()
_LOGGER.debug("Stopping timer finished sound")
return
wake_word_phrase = self.state.wake_word.wake_word
_LOGGER.debug("Detected wake word: %s", wake_word_phrase)
self.send_messages(
[VoiceAssistantRequest(start=True, wake_word_phrase=wake_word_phrase)]
)
self.state.event_bus.publish('voice_wakeword', {'wake_word_phrase': wake_word_phrase})
self.duck()
self._is_streaming_audio = True
self.state.tts_player.play(self.state.wakeup_sound)
def stop(self) -> None:
self.state.stop_word.is_active = False
self.state.tts_player.stop()
if self._timer_finished:
self._timer_finished = False
_LOGGER.debug("Stopping timer finished sound")
else:
_LOGGER.debug("TTS response stopped manually")
self._tts_finished()
def play_tts(self) -> None:
if (not self._tts_url) or self._tts_played:
return
self._tts_played = True
_LOGGER.debug("Playing TTS response: %s", self._tts_url)
self.state.event_bus.publish('voice_play_tts', {})
self.state.stop_word.is_active = True
self.state.tts_player.play(self._tts_url, done_callback=self._tts_finished)
def duck(self) -> None:
_LOGGER.debug("Ducking music")
self.state.music_player.duck()
def unduck(self) -> None:
_LOGGER.debug("Unducking music")
self.state.music_player.unduck()
def _tts_finished(self) -> None:
self.state.stop_word.is_active = False
self.send_messages([VoiceAssistantAnnounceFinished()])
# Actual time the TTS stops speaking
self.state.event_bus.publish('voice__tts_finished', {})
if self._continue_conversation:
self.send_messages([VoiceAssistantRequest(start=True)])
self._is_streaming_audio = True
_LOGGER.debug("Continuing conversation")
else:
self.unduck()
_LOGGER.debug("TTS response finished")
def _play_timer_finished(self) -> None:
if not self._timer_finished:
self.unduck()
return
self.state.tts_player.play(
self.state.timer_finished_sound,
done_callback=lambda: call_all(
lambda: time.sleep(1.0), self._play_timer_finished
),
)
def connection_lost(self, exc):
super().connection_lost(exc)
_LOGGER.info("Disconnected from Home Assistant")
def process_audio(state: ServerState):
# debug counters
chunks_sent = 0
last_log = 0.0
try:
while True:
audio_chunk = state.audio_queue.get()
if audio_chunk is None:
break
if state.satellite is None:
continue
try:
state.satellite.handle_audio(audio_chunk)
chunks_sent += 1
if state.use_wyoming_wake and chunks_sent % 100 == 0:
_LOGGER.debug("[OWW] chunks_sent=%d (approx %.1fs of audio)", chunks_sent, chunks_sent*0.064)
if state.use_wyoming_wake:
if state.wyoming_wake:
state.wyoming_wake.send_audio_chunk(audio_chunk)
else:
if state.wake_word.is_active and state.wake_word.process_streaming(
audio_chunk
):
state.satellite.wakeup()
if state.stop_word.is_active and state.stop_word.process_streaming(
audio_chunk
):
state.satellite.stop()
except Exception:
_LOGGER.exception("Unexpected error handling audio")
except Exception:
_LOGGER.exception("Unexpected error processing audio")
# -----------------------------------------------------------------------------
async def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--name", required=True)
parser.add_argument("--wake-uri", help="Wyoming wake server URI (e.g., tcp://127.0.0.1:10400)")
parser.add_argument("--wake-word-name", help="Wake word name on the Wyoming server (e.g., hal)")
parser.add_argument(
"--audio-input-device",
default="default",
help="sounddevice name for input device",
)
parser.add_argument("--audio-input-block-size", type=int, default=1024)
parser.add_argument("--audio-output-device", help="mpv name for output device")
parser.add_argument(
"--wake-word-dir",
default=_WAKEWORDS_DIR,
help="Directory with wake word models (.tflite) and configs (.json)",
)
parser.add_argument(
"--wake-model", default="okay_nabu", help="Id of active wake model"
)
parser.add_argument("--stop-model", default="stop", help="Id of stop model")
parser.add_argument(
"--wakeup-sound", default=str(_SOUNDS_DIR / "wake_word_triggered.flac")
)
parser.add_argument(
"--timer-finished-sound", default=str(_SOUNDS_DIR / "timer_finished.flac")
)
parser.add_argument(
"--host",
default="0.0.0.0",
help="Address for ESPHome server (default: 0.0.0.0)",
)
parser.add_argument(
"--port", type=int, default=6053, help="Port for ESPHome server (default: 6053)"
)
parser.add_argument(
"--debug", action="store_true", help="Print DEBUG messages to console"
)
args = parser.parse_args()
logging.basicConfig(level=logging.DEBUG if args.debug else logging.INFO)
_LOGGER.debug(args)
use_wyoming = bool(args.wake_uri and args.wake_word_name)
wyoming_client = None
if use_wyoming:
_LOGGER.info("Using Wyoming openWakeWord at %s (name=%s)", args.wake_uri, args.wake_word_name)
wyoming_client = WyomingWakeClient(args.wake_uri, args.wake_word_name)
# Load available wake words
wake_word_dir = Path(args.wake_word_dir)
available_wake_words: Dict[str, AvailableWakeWord] = {}
for model_config_path in wake_word_dir.glob("*.json"):
model_id = model_config_path.stem
if model_id == args.stop_model:
# Don't show stop model as an available wake word
continue
with open(model_config_path, "r", encoding="utf-8") as model_config_file:
model_config = json.load(model_config_file)
available_wake_words[model_id] = AvailableWakeWord(
id=model_id,
wake_word=model_config["wake_word"],
trained_languages=model_config.get("trained_languages", []),
config_path=model_config_path,
)
_LOGGER.debug("Available wake words: %s", list(sorted(available_wake_words.keys())))
libtensorflowlite_c_path = _LIB_DIR / "libtensorflowlite_c.so"
_LOGGER.debug("libtensorflowlite_c path: %s", libtensorflowlite_c_path)
# Load wake/stop models
wake_config_path = wake_word_dir / f"{args.wake_model}.json"
_LOGGER.debug("Loading wake model: %s", wake_config_path)
wake_model = MicroWakeWord.from_config(wake_config_path, libtensorflowlite_c_path)
stop_config_path = wake_word_dir / f"{args.stop_model}.json"
_LOGGER.debug("Loading stop model: %s", stop_config_path)
stop_model = MicroWakeWord.from_config(stop_config_path, libtensorflowlite_c_path)
loop = asyncio.get_running_loop()
state = ServerState(
name=args.name,
mac_address=get_mac(),
audio_queue=Queue(),
entities=[],
available_wake_words=available_wake_words,
wake_word=wake_model,
stop_word=stop_model,
event_bus=EventBus(),
loop=loop,
music_player=MpvMediaPlayer(device=args.audio_output_device),
tts_player=MpvMediaPlayer(device=args.audio_output_device),
wakeup_sound=args.wakeup_sound,
timer_finished_sound=args.timer_finished_sound,
wyoming_wake=wyoming_client,
use_wyoming_wake=use_wyoming,
)
LedEvent(state)
# Connect to Wyoming wake server if enabled
if state.use_wyoming_wake and state.wyoming_wake:
def _on_detect(_name, _ts):
_LOGGER.debug("[OWW] detection callback fired name=%s ts=%s", _name, _ts)
if state.satellite is not None:
state.loop.call_soon_threadsafe(lambda: state.satellite.wakeup())
state.wyoming_wake.connect(_on_detect)
state.wake_word.is_active = False
_LOGGER.debug("[OWW] Local MicroWakeWord disabled; streaming audio to Wyoming")
process_audio_thread = threading.Thread(
target=process_audio, args=(state,), daemon=True
)
process_audio_thread.start()
def sd_callback(indata, _frames, _time, _status):
state.audio_queue.put_nowait(bytes(indata))
server = await loop.create_server(
lambda: VoiceSatelliteProtocol(state), host=args.host, port=args.port
)
try:
_LOGGER.debug("Opening audio input device: %s", args.audio_input_device)
with sd.RawInputStream(
samplerate=16000,
blocksize=args.audio_input_block_size,
device=args.audio_input_device,
dtype="int16",
channels=1,
callback=sd_callback,
):
async with server:
_LOGGER.info("Server started (host=%s, port=%s)", args.host, args.port)
await server.serve_forever()
except KeyboardInterrupt:
pass
finally:
state.audio_queue.put_nowait(None)
process_audio_thread.join()
_LOGGER.debug("Server stopped")
if __name__ == "__main__":
asyncio.run(main())