From fec52dd1c203f310adae45066f9fc5a333e23220 Mon Sep 17 00:00:00 2001 From: mrleo1nid <43583385+mrleo1nid@users.noreply.github.com> Date: Thu, 17 Sep 2026 03:20:07 +0300 Subject: [PATCH] =?UTF-8?q?=D0=AD=D1=82=D0=B0=D0=BF=202:=20=D0=BE=D0=B7?= =?UTF-8?q?=D0=B2=D1=83=D1=87=D0=BA=D0=B0=20=D0=BE=D1=82=D0=B2=D0=B5=D1=82?= =?UTF-8?q?=D0=BE=D0=B2=20=D1=87=D0=B5=D1=80=D0=B5=D0=B7=20Silero?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Потоковая озвучка: ответ режется на фразы, синтез и воспроизведение в отдельных потоках - Подготовка текста: числа словами, без markdown, ссылок и блоков кода - Модель Silero скачивается в LOCALAPPDATA и прогревается при старте - Состояние «говорю», переключатель озвучки в трее, «Стоп» прерывает речь - Тесты нарезки текста и оркестратора озвучки Co-Authored-By: Claude Opus 5 --- README.md | 7 +- pyproject.toml | 4 + src/agr_assistent/app.py | 12 +- src/agr_assistent/audio/__init__.py | 0 src/agr_assistent/audio/player.py | 53 ++ src/agr_assistent/config.py | 28 +- src/agr_assistent/core/assistant.py | 68 ++- src/agr_assistent/core/speech.py | 207 +++++++ src/agr_assistent/default_config.yaml | 12 + src/agr_assistent/tts/__init__.py | 0 src/agr_assistent/tts/base.py | 22 + src/agr_assistent/tts/silero.py | 93 ++++ src/agr_assistent/tts/text.py | 94 ++++ src/agr_assistent/ui/chat_window.py | 2 +- src/agr_assistent/ui/icons.py | 2 + src/agr_assistent/ui/tray.py | 6 + tests/test_speaker.py | 126 +++++ tests/test_speech_text.py | 50 ++ uv.lock | 744 +++++++++++++++++++++++++- 19 files changed, 1512 insertions(+), 18 deletions(-) create mode 100644 src/agr_assistent/audio/__init__.py create mode 100644 src/agr_assistent/audio/player.py create mode 100644 src/agr_assistent/core/speech.py create mode 100644 src/agr_assistent/tts/__init__.py create mode 100644 src/agr_assistent/tts/base.py create mode 100644 src/agr_assistent/tts/silero.py create mode 100644 src/agr_assistent/tts/text.py create mode 100644 tests/test_speaker.py create mode 100644 tests/test_speech_text.py diff --git a/README.md b/README.md index cadf8ec..756ef5b 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,8 @@ - LLM: локальные модели (Ollama, LM Studio, llama.cpp) или OpenRouter — через единый OpenAI-совместимый API - Текстовый чат со стримингом ответа -- В планах: голосовой ввод (faster-whisper), озвучка ответов (Silero), слово активации +- Озвучка ответов голосом Silero: фразы проговариваются по мере генерации, блоки кода пропускаются +- В планах: голосовой ввод (faster-whisper), слово активации ## Запуск @@ -29,6 +30,10 @@ llm: Для Ollama достаточно запустить сервер и скачать модель: `ollama pull qwen2.5:7b`. +Модель Silero (~145 МБ) скачивается при первом запуске в `%LOCALAPPDATA%\agr-assistent\models`. +Голос и модель задаются в секции `tts` конфига; озвучку можно выключить в меню значка. +Silero читает только кириллицу: числа переводятся в слова, латиница пропускается. + Закрытие окна сворачивает приложение в трей. Клик по значку открывает чат, в меню значка — переключение провайдера, новый диалог и выход. diff --git a/pyproject.toml b/pyproject.toml index 8bf178e..093c3af 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,9 +5,13 @@ description = "Минимальный голосовой AI-ассистент readme = "README.md" requires-python = ">=3.11" dependencies = [ + "num2words>=0.5.14", + "numpy>=2.4.6", "openai>=3.14.1", "pyside6>=6.11.2", "pyyaml>=6.0.3", + "sounddevice>=0.5.6", + "torch>=2.14.0", ] [project.scripts] diff --git a/src/agr_assistent/app.py b/src/agr_assistent/app.py index fcf275e..575f92e 100644 --- a/src/agr_assistent/app.py +++ b/src/agr_assistent/app.py @@ -9,8 +9,11 @@ import sys from PySide6.QtWidgets import QApplication, QMessageBox, QSystemTrayIcon from agr_assistent import APP_NAME -from agr_assistent.config import ConfigError, load_config +from agr_assistent.audio.player import AudioPlayer +from agr_assistent.config import ConfigError, data_dir, load_config from agr_assistent.core.assistant import Assistant +from agr_assistent.core.speech import Speaker +from agr_assistent.tts.silero import SileroTTS from agr_assistent.ui.chat_window import ChatWindow from agr_assistent.ui.icons import state_icon from agr_assistent.ui.tray import TrayIcon @@ -41,7 +44,12 @@ def main() -> int: QMessageBox.critical(None, APP_NAME, "Системный трей недоступен") return 1 - assistant = Assistant(config.llm) + speaker = Speaker( + SileroTTS(config.tts, data_dir() / "models"), AudioPlayer(), enabled=config.tts.enabled + ) + if config.tts.enabled: + speaker.warm_up() + assistant = Assistant(config.llm, speaker) app.setWindowIcon(state_icon(assistant.state)) window = ChatWindow(assistant) tray = TrayIcon(assistant, window) diff --git a/src/agr_assistent/audio/__init__.py b/src/agr_assistent/audio/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/agr_assistent/audio/player.py b/src/agr_assistent/audio/player.py new file mode 100644 index 0000000..c25b651 --- /dev/null +++ b/src/agr_assistent/audio/player.py @@ -0,0 +1,53 @@ +"""Воспроизведение звука с возможностью быстро прервать.""" + +from __future__ import annotations + +from collections.abc import Callable + +import numpy as np +import sounddevice as sd + +# Как часто проверяем, не пора ли остановиться +_BLOCK_SECONDS = 0.05 + + +class AudioPlayer: + """Не потокобезопасен: все методы вызываются из одного потока воспроизведения.""" + + def __init__(self) -> None: + self._stream: sd.OutputStream | None = None + + def play( + self, audio: np.ndarray, sample_rate: int, should_continue: Callable[[], bool] + ) -> None: + """Блокирует до конца фрагмента; если should_continue() вернул False — обрывает звук.""" + stream = self._open(sample_rate) + samples = np.asarray(audio, dtype=np.float32).reshape(-1, 1) + block = max(1, int(sample_rate * _BLOCK_SECONDS)) + for start in range(0, len(samples), block): + if not should_continue(): + self.abort() + return + stream.write(samples[start : start + block]) + + def finish(self) -> None: + """Дожидается, пока доиграет буфер, и освобождает устройство.""" + if self._stream is not None: + stream, self._stream = self._stream, None + stream.stop() + stream.close() + + def abort(self) -> None: + """Немедленно глушит звук и освобождает устройство.""" + if self._stream is not None: + stream, self._stream = self._stream, None + stream.abort() + stream.close() + + def _open(self, sample_rate: int) -> sd.OutputStream: + if self._stream is not None and self._stream.samplerate != sample_rate: + self.finish() + if self._stream is None: + self._stream = sd.OutputStream(samplerate=sample_rate, channels=1, dtype="float32") + self._stream.start() + return self._stream diff --git a/src/agr_assistent/config.py b/src/agr_assistent/config.py index a794a26..2988137 100644 --- a/src/agr_assistent/config.py +++ b/src/agr_assistent/config.py @@ -13,6 +13,8 @@ from typing import Any import yaml +from agr_assistent import APP_NAME + log = logging.getLogger(__name__) CONFIG_ENV_VAR = "AGR_ASSISTENT_CONFIG" @@ -47,6 +49,15 @@ class LLMConfig: return self.providers[self.provider] +@dataclass +class TTSConfig: + enabled: bool + model: str + speaker: str + sample_rate: int + device: str + + @dataclass class UIConfig: start_minimized: bool @@ -55,10 +66,17 @@ class UIConfig: @dataclass class AppConfig: llm: LLMConfig + tts: TTSConfig ui: UIConfig path: Path +def data_dir() -> Path: + """Папка для скачиваемых моделей и прочих данных приложения.""" + base = os.environ.get("LOCALAPPDATA") or Path.home() / ".local" / "share" + return Path(base) / APP_NAME + + def resolve_config_path() -> Path: """Путь из переменной окружения, иначе config.yaml рядом с exe или в текущей папке.""" if env_path := os.environ.get(CONFIG_ENV_VAR): @@ -113,6 +131,14 @@ def parse_config(data: dict[str, Any], path: Path) -> AppConfig: max_history_messages=int(llm_data["max_history_messages"]), timeout_seconds=float(llm_data["timeout_seconds"]), ) + tts_data = data["tts"] + tts = TTSConfig( + enabled=bool(tts_data["enabled"]), + model=str(tts_data["model"]), + speaker=str(tts_data["speaker"]), + sample_rate=int(tts_data["sample_rate"]), + device=str(tts_data["device"]), + ) ui = UIConfig(start_minimized=bool(data["ui"]["start_minimized"])) except KeyError as exc: raise ConfigError(f"{path}: отсутствует ключ {exc}") from exc @@ -124,7 +150,7 @@ def parse_config(data: dict[str, Any], path: Path) -> AppConfig: raise ConfigError( f"{path}: провайдер '{llm.provider}' не описан в llm.providers (есть: {known})" ) - return AppConfig(llm=llm, ui=ui, path=path) + return AppConfig(llm=llm, tts=tts, ui=ui, path=path) def _expand_env(value: str) -> str: diff --git a/src/agr_assistent/core/assistant.py b/src/agr_assistent/core/assistant.py index 1df2b09..397af05 100644 --- a/src/agr_assistent/core/assistant.py +++ b/src/agr_assistent/core/assistant.py @@ -1,4 +1,4 @@ -"""Оркестратор диалога: история сообщений, фоновая генерация ответа, состояния.""" +"""Оркестратор диалога: история сообщений, фоновая генерация ответа, озвучка, состояния.""" from __future__ import annotations @@ -9,6 +9,7 @@ from enum import Enum from PySide6.QtCore import QObject, Signal, Slot from agr_assistent.config import LLMConfig +from agr_assistent.core.speech import Speaker from agr_assistent.llm.client import LLMClient, LLMError log = logging.getLogger(__name__) @@ -19,6 +20,7 @@ Message = dict[str, str] class AssistantState(Enum): IDLE = "idle" THINKING = "thinking" + SPEAKING = "speaking" def build_messages( @@ -39,6 +41,7 @@ class Assistant(QObject): state_changed = Signal(object) # AssistantState provider_changed = Signal(str) + speech_enabled_changed = Signal(bool) user_message_added = Signal(str) reply_started = Signal() reply_chunk = Signal(str) @@ -51,12 +54,16 @@ class Assistant(QObject): _worker_failed = Signal(int, str) _worker_done = Signal(int) - def __init__(self, config: LLMConfig, parent: QObject | None = None) -> None: + def __init__( + self, config: LLMConfig, speaker: Speaker, parent: QObject | None = None + ) -> None: super().__init__(parent) self._config = config + self._speaker = speaker self._client: LLMClient | None = None self._history: list[Message] = [] self._state = AssistantState.IDLE + self._generating = False # Увеличивается при каждом запросе и отмене: ответы устаревших потоков игнорируются self._generation = 0 self._reply_parts: list[str] = [] @@ -64,6 +71,9 @@ class Assistant(QObject): self._worker_chunk.connect(self._on_worker_chunk) self._worker_failed.connect(self._on_worker_failed) self._worker_done.connect(self._on_worker_done) + speaker.playback_started.connect(self._update_state) + speaker.finished.connect(self._update_state) + speaker.error_occurred.connect(self.error_occurred) @property def state(self) -> AssistantState: @@ -71,8 +81,13 @@ class Assistant(QObject): @property def is_busy(self) -> bool: + """Генерирует ответ или говорит.""" return self._state is not AssistantState.IDLE + @property + def is_generating(self) -> bool: + return self._generating + @property def provider_name(self) -> str: return self._config.provider @@ -85,6 +100,10 @@ class Assistant(QObject): def model_name(self) -> str: return self._config.active_provider.model + @property + def speech_enabled(self) -> bool: + return self._speaker.enabled + def set_provider(self, name: str) -> None: if name == self._config.provider: return @@ -96,10 +115,18 @@ class Assistant(QObject): log.info("Провайдер LLM: %s (%s)", name, self.model_name) self.provider_changed.emit(name) - def send(self, text: str) -> None: - text = text.strip() - if not text or self.is_busy: + def set_speech_enabled(self, enabled: bool) -> None: + if enabled == self._speaker.enabled: return + self._speaker.set_enabled(enabled) + self.speech_enabled_changed.emit(enabled) + + def send(self, text: str) -> None: + """Новое сообщение прерывает озвучку предыдущего ответа.""" + text = text.strip() + if not text or self._generating: + return + self._speaker.stop() self._history.append({"role": "user", "content": text}) self.user_message_added.emit(text) @@ -110,11 +137,13 @@ class Assistant(QObject): return self._generation += 1 + self._generating = True self._reply_parts = [] messages = build_messages( self._config.system_prompt, self._history, self._config.max_history_messages ) - self._set_state(AssistantState.THINKING) + self._speaker.begin() + self._update_state() self.reply_started.emit() threading.Thread( target=self._run_reply, @@ -124,10 +153,11 @@ class Assistant(QObject): ).start() def cancel(self) -> None: - if not self.is_busy: - return - self._generation += 1 - self._finish_reply() + """Прерывает и генерацию, и озвучку.""" + if self._generating: + self._generation += 1 + self._finish_reply() + self._speaker.stop() def clear_history(self) -> None: self.cancel() @@ -162,28 +192,42 @@ class Assistant(QObject): def _on_worker_chunk(self, generation: int, piece: str) -> None: if generation == self._generation: self._reply_parts.append(piece) + self._speaker.feed(piece) self.reply_chunk.emit(piece) @Slot(int, str) def _on_worker_failed(self, generation: int, message: str) -> None: if generation == self._generation: + # Уже полученную часть ответа всё равно договариваем + self._speaker.end() self._finish_reply() self.error_occurred.emit(message) @Slot(int) def _on_worker_done(self, generation: int) -> None: if generation == self._generation: + self._speaker.end() self._finish_reply() def _finish_reply(self) -> None: reply = "".join(self._reply_parts) self._reply_parts = [] + self._generating = False if reply.strip(): self._history.append({"role": "assistant", "content": reply}) - self._set_state(AssistantState.IDLE) + self._update_state() self.reply_finished.emit(reply) - def _set_state(self, state: AssistantState) -> None: + @Slot() + def _update_state(self) -> None: + if self._speaker.is_playing: + state = AssistantState.SPEAKING + elif self._generating: + state = AssistantState.THINKING + elif self._speaker.is_active: + state = AssistantState.SPEAKING + else: + state = AssistantState.IDLE if state is not self._state: self._state = state self.state_changed.emit(state) diff --git a/src/agr_assistent/core/speech.py b/src/agr_assistent/core/speech.py new file mode 100644 index 0000000..44b34c7 --- /dev/null +++ b/src/agr_assistent/core/speech.py @@ -0,0 +1,207 @@ +"""Потоковая озвучка ответа: фразы синтезируются и проигрываются по мере генерации текста.""" + +from __future__ import annotations + +import logging +import queue +import threading +from collections.abc import Callable +from typing import Protocol + +import numpy as np +from PySide6.QtCore import QObject, Signal, Slot + +from agr_assistent.tts.base import TTSEngine +from agr_assistent.tts.text import SpeechTextStream + +log = logging.getLogger(__name__) + +_END = object() # конец реплики +_LOAD = object() # предзагрузка модели +_NO_GENERATION = -1 # ошибка, не привязанная к реплике +_IDLE_POLL_SECONDS = 0.25 + + +class Player(Protocol): + def play( + self, audio: np.ndarray, sample_rate: int, should_continue: Callable[[], bool] + ) -> None: ... + def finish(self) -> None: ... + def abort(self) -> None: ... + + +class Speaker(QObject): + """Живёт в главном потоке; синтез и воспроизведение — в двух фоновых потоках. + + Синтез идёт параллельно с воспроизведением, поэтому следующая фраза обычно + готова к моменту, когда доиграла предыдущая. + """ + + playback_started = Signal() + finished = Signal() # реплика доиграна или остановлена + error_occurred = Signal(str) + + # Мост из фоновых потоков в главный; int — номер реплики + _worker_started = Signal(int) + _worker_done = Signal(int) + _worker_failed = Signal(int, str) + + def __init__( + self, + engine: TTSEngine, + player: Player, + *, + enabled: bool, + parent: QObject | None = None, + ) -> None: + super().__init__(parent) + self._engine = engine + self._player = player + self._enabled = enabled + # Увеличивается при каждой новой реплике и остановке: устаревшие фразы отбрасываются + self._generation = 0 + self._active = False + self._playing = False + self._text: SpeechTextStream | None = None + self._synthesis_queue: queue.Queue[tuple[int, object]] = queue.Queue() + self._audio_queue: queue.Queue[tuple[int, object]] = queue.Queue() + + self._worker_started.connect(self._on_worker_started) + self._worker_done.connect(self._on_worker_done) + self._worker_failed.connect(self._on_worker_failed) + + threading.Thread(target=self._synthesis_loop, name="tts-synthesis", daemon=True).start() + threading.Thread(target=self._playback_loop, name="tts-playback", daemon=True).start() + + @property + def enabled(self) -> bool: + return self._enabled + + @property + def is_active(self) -> bool: + """Реплика начата и ещё не доиграна.""" + return self._active + + @property + def is_playing(self) -> bool: + return self._playing + + def set_enabled(self, enabled: bool) -> None: + self._enabled = enabled + if enabled: + self.warm_up() + else: + self.stop() + + def warm_up(self) -> None: + """Загружает модель заранее, чтобы первый ответ не ждал её.""" + self._synthesis_queue.put((_NO_GENERATION, _LOAD)) + + def begin(self) -> None: + self.stop() + if not self._enabled: + return + self._generation += 1 + self._active = True + self._text = SpeechTextStream() + + def feed(self, chunk: str) -> None: + if self._text is not None: + for sentence in self._text.feed(chunk): + self._synthesis_queue.put((self._generation, sentence)) + + def end(self) -> None: + if self._text is not None: + for sentence in self._text.flush(): + self._synthesis_queue.put((self._generation, sentence)) + self._synthesis_queue.put((self._generation, _END)) + self._text = None + + def stop(self) -> None: + if not self._active: + return + self._generation += 1 + self._finish() + + def _finish(self) -> None: + self._text = None + self._active = False + self._playing = False + self.finished.emit() + + def _synthesis_loop(self) -> None: + """Фоновый поток: текст -> звук.""" + while True: + generation, item = self._synthesis_queue.get() + if item is _LOAD: + try: + self._engine.load() + except Exception as exc: + log.exception("Не удалось загрузить модель синтеза речи") + self._worker_failed.emit(_NO_GENERATION, str(exc)) + continue + if generation != self._generation: + continue + if item is _END: + self._audio_queue.put((generation, _END)) + continue + try: + audio = self._engine.synthesize(str(item)) + except Exception as exc: + log.exception("Сбой синтеза речи") + self._worker_failed.emit(generation, f"Ошибка синтеза речи: {exc}") + continue + self._audio_queue.put((generation, audio)) + + def _playback_loop(self) -> None: + """Фоновый поток: воспроизведение звука по порядку.""" + started_generation: int | None = None + while True: + try: + generation, item = self._audio_queue.get(timeout=_IDLE_POLL_SECONDS) + except queue.Empty: + # Реплику остановили между фразами — освобождаем аудиоустройство + if started_generation is not None and started_generation != self._generation: + self._player.abort() + started_generation = None + continue + if generation != self._generation: + continue + try: + if item is _END: + self._player.finish() + started_generation = None + self._worker_done.emit(generation) + continue + if started_generation != generation: + started_generation = generation + self._worker_started.emit(generation) + self._player.play( + item, # type: ignore[arg-type] + self._engine.sample_rate, + lambda: generation == self._generation, + ) + except Exception as exc: + log.exception("Сбой воспроизведения") + self._player.abort() + started_generation = None + self._worker_failed.emit(generation, f"Ошибка воспроизведения звука: {exc}") + + @Slot(int) + def _on_worker_started(self, generation: int) -> None: + if generation == self._generation and self._active: + self._playing = True + self.playback_started.emit() + + @Slot(int) + def _on_worker_done(self, generation: int) -> None: + if generation == self._generation and self._active: + self._finish() + + @Slot(int, str) + def _on_worker_failed(self, generation: int, message: str) -> None: + if generation == self._generation: + self.stop() + elif generation != _NO_GENERATION: + return + self.error_occurred.emit(message) diff --git a/src/agr_assistent/default_config.yaml b/src/agr_assistent/default_config.yaml index 27d772c..e810c53 100644 --- a/src/agr_assistent/default_config.yaml +++ b/src/agr_assistent/default_config.yaml @@ -30,6 +30,18 @@ llm: max_history_messages: 20 timeout_seconds: 120 +tts: + # Озвучивать ответы ассистента (переключается и в меню трея) + enabled: true + # Модель Silero, скачивается при первом использовании: + # https://github.com/snakers4/silero-models#text-to-speech + model: v5_5_ru + # Голос: aidar, baya, kseniya, eugene, xenia + speaker: xenia + # 8000, 24000 или 48000 + sample_rate: 48000 + device: cpu + ui: # Запускаться сразу в трее, не показывая окно чата start_minimized: false diff --git a/src/agr_assistent/tts/__init__.py b/src/agr_assistent/tts/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/agr_assistent/tts/base.py b/src/agr_assistent/tts/base.py new file mode 100644 index 0000000..ad3e35a --- /dev/null +++ b/src/agr_assistent/tts/base.py @@ -0,0 +1,22 @@ +"""Общий интерфейс движков синтеза речи.""" + +from __future__ import annotations + +from typing import Protocol + +import numpy as np + + +class TTSError(Exception): + """Ошибка синтеза речи с понятным пользователю текстом.""" + + +class TTSEngine(Protocol): + @property + def sample_rate(self) -> int: ... + + def load(self) -> None: + """Подготавливает модель; повторные вызовы ничего не делают.""" + + def synthesize(self, text: str) -> np.ndarray: + """Возвращает моно-сигнал float32 с частотой sample_rate.""" diff --git a/src/agr_assistent/tts/silero.py b/src/agr_assistent/tts/silero.py new file mode 100644 index 0000000..b5b63c8 --- /dev/null +++ b/src/agr_assistent/tts/silero.py @@ -0,0 +1,93 @@ +"""Синтез речи моделями Silero (https://github.com/snakers4/silero-models).""" + +from __future__ import annotations + +import logging +import os +import threading +import urllib.request +import warnings +from pathlib import Path +from typing import Any + +import numpy as np + +from agr_assistent.config import TTSConfig +from agr_assistent.tts.base import TTSError + +log = logging.getLogger(__name__) + +_MODEL_URL = "https://models.silero.ai/models/tts/{language}/{model}.pt" +_MAX_TORCH_THREADS = 4 +_WARM_UP_TEXT = "Готова к работе." + + +class SileroTTS: + def __init__(self, config: TTSConfig, models_dir: Path) -> None: + self._config = config + self._model_path = models_dir / "silero" / f"{config.model}.pt" + self._model: Any = None + self._lock = threading.Lock() + + @property + def sample_rate(self) -> int: + return self._config.sample_rate + + def load(self) -> None: + with self._lock: + if self._model is not None: + return + if not self._model_path.exists(): + self._download() + + # torch импортируется долго, поэтому только при первой загрузке модели + import torch + + torch.set_num_threads(min(_MAX_TORCH_THREADS, os.cpu_count() or 1)) + try: + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + importer = torch.package.PackageImporter(str(self._model_path)) + model = importer.load_pickle("tts_models", "model") + model.to(torch.device(self._config.device)) + except Exception as exc: + raise TTSError(f"Не удалось загрузить модель {self._model_path}: {exc}") from exc + + if self._config.speaker not in model.speakers: + raise TTSError( + f"Голос '{self._config.speaker}' отсутствует в модели {self._config.model} " + f"(есть: {', '.join(model.speakers)})" + ) + # Первый синтез заметно медленнее последующих — прогреваем заранее + self._apply_tts(model, _WARM_UP_TEXT) + self._model = model + log.info("Модель Silero %s загружена", self._config.model) + + def synthesize(self, text: str) -> np.ndarray: + self.load() + return self._apply_tts(self._model, text) + + def _apply_tts(self, model: Any, text: str) -> np.ndarray: + import torch + + with torch.inference_mode(), warnings.catch_warnings(): + warnings.simplefilter("ignore") + audio = model.apply_tts( + text=text, + speaker=self._config.speaker, + sample_rate=self._config.sample_rate, + ) + return audio.cpu().numpy().astype(np.float32, copy=False) + + def _download(self) -> None: + language = self._config.model.rsplit("_", 1)[-1] + url = _MODEL_URL.format(language=language, model=self._config.model) + partial_path = self._model_path.with_suffix(".part") + log.info("Скачиваю модель Silero: %s", url) + try: + self._model_path.parent.mkdir(parents=True, exist_ok=True) + urllib.request.urlretrieve(url, partial_path) + partial_path.replace(self._model_path) + except OSError as exc: + partial_path.unlink(missing_ok=True) + raise TTSError(f"Не удалось скачать модель Silero {url}: {exc}") from exc diff --git a/src/agr_assistent/tts/text.py b/src/agr_assistent/tts/text.py new file mode 100644 index 0000000..81aa2b6 --- /dev/null +++ b/src/agr_assistent/tts/text.py @@ -0,0 +1,94 @@ +"""Подготовка ответа модели к озвучке: нарезка потока на фразы и очистка текста.""" + +from __future__ import annotations + +import re + +from num2words import num2words + +# Длиннее ~1000 символов Silero не синтезирует; режем с запасом +MAX_SEGMENT_CHARS = 400 + +# Конец предложения (но не «3.5» и не «1. пункт») или перевод строки +_SEGMENT_BOUNDARY = re.compile(r"(?<=\D[.!?…])\s+|\n") +_CODE_FENCE = "```" + +_MARKDOWN_LINK = re.compile(r"\[([^\]]*)\]\([^)]*\)") +_URL = re.compile(r"https?://\S+?(?=[.,!?;:)]*(?:\s|$))") +_LIST_MARKER = re.compile(r"^\s*(?:[-*+•]|\d+[.)])\s+") +_NUMBER = re.compile(r"\d+(?:[.,]\d+)?") +# Всё, кроме кириллицы и знаков, влияющих на интонацию +_UNSPEAKABLE = re.compile(r"[^а-яё!,.:;?…–\s-]", re.IGNORECASE) +_CYRILLIC = re.compile(r"[а-яё]", re.IGNORECASE) +_SPACES = re.compile(r"\s+") +_SPACE_BEFORE_PUNCTUATION = re.compile(r"\s+(?=[!,.:;?…])") + + +class SpeechTextStream: + """Принимает текст кусками по мере генерации и отдаёт готовые к озвучке фразы.""" + + def __init__(self) -> None: + self._buffer = "" + self._in_code_block = False + + def feed(self, chunk: str) -> list[str]: + self._buffer += chunk + segments = [] + while match := _SEGMENT_BOUNDARY.search(self._buffer): + segments.append(self._buffer[: match.start()]) + self._buffer = self._buffer[match.end() :] + return self._speakable(segments) + + def flush(self) -> list[str]: + rest, self._buffer = self._buffer, "" + return self._speakable([rest]) + + def _speakable(self, segments: list[str]) -> list[str]: + result = [] + for segment in segments: + # Блоки кода не озвучиваем + if segment.lstrip().startswith(_CODE_FENCE): + self._in_code_block = not self._in_code_block + continue + if self._in_code_block: + continue + if text := normalize_for_speech(segment): + result.extend(split_long_text(text)) + return result + + +def normalize_for_speech(text: str) -> str: + """Убирает разметку, переводит числа в слова; пустая строка — озвучивать нечего.""" + text = _MARKDOWN_LINK.sub(r"\1", text) + text = _URL.sub(" ссылка ", text) + text = _LIST_MARKER.sub("", text) + # «+» у Silero — маркер ударения + text = text.replace("+", " плюс ").replace("—", "–") + text = _NUMBER.sub(_number_to_words, text) + text = _UNSPEAKABLE.sub(" ", text) + text = _SPACES.sub(" ", text) + text = _SPACE_BEFORE_PUNCTUATION.sub("", text).strip() + return text if _CYRILLIC.search(text) else "" + + +def split_long_text(text: str, limit: int = MAX_SEGMENT_CHARS) -> list[str]: + parts = [] + while len(text) > limit: + cut = text.rfind(", ", 0, limit) + cut = cut + 1 if cut > 0 else text.rfind(" ", 0, limit) + if cut <= 0: + cut = limit + parts.append(text[:cut].strip()) + text = text[cut:].strip() + if text: + parts.append(text) + return parts + + +def _number_to_words(match: re.Match[str]) -> str: + raw = match.group().replace(",", ".") + try: + value: int | float = float(raw) if "." in raw else int(raw) + return f" {num2words(value, lang='ru')} " + except (ValueError, OverflowError, NotImplementedError): + return " " diff --git a/src/agr_assistent/ui/chat_window.py b/src/agr_assistent/ui/chat_window.py index 822b0d6..807c02d 100644 --- a/src/agr_assistent/ui/chat_window.py +++ b/src/agr_assistent/ui/chat_window.py @@ -134,7 +134,7 @@ class ChatWindow(QWidget): def _submit(self) -> None: text = self._input.toPlainText().strip() - if not text or self._assistant.is_busy: + if not text or self._assistant.is_generating: return self._input.clear() self._assistant.send(text) diff --git a/src/agr_assistent/ui/icons.py b/src/agr_assistent/ui/icons.py index 0d8b982..de80567 100644 --- a/src/agr_assistent/ui/icons.py +++ b/src/agr_assistent/ui/icons.py @@ -12,11 +12,13 @@ from agr_assistent.core.assistant import AssistantState STATE_TITLES = { AssistantState.IDLE: "ожидание", AssistantState.THINKING: "думаю…", + AssistantState.SPEAKING: "говорю…", } _STATE_COLORS = { AssistantState.IDLE: "#5c6bc0", AssistantState.THINKING: "#fb8c00", + AssistantState.SPEAKING: "#43a047", } _ICON_SIZE = 64 diff --git a/src/agr_assistent/ui/tray.py b/src/agr_assistent/ui/tray.py index 8e10b3c..a5cb40a 100644 --- a/src/agr_assistent/ui/tray.py +++ b/src/agr_assistent/ui/tray.py @@ -34,6 +34,11 @@ class TrayIcon(QSystemTrayIcon): provider_menu.addAction(action) self._provider_actions[name] = action + self._speech_action = QAction("Озвучивать ответы", self, checkable=True) + self._speech_action.setChecked(assistant.speech_enabled) + self._speech_action.toggled.connect(assistant.set_speech_enabled) + menu.addAction(self._speech_action) + menu.addAction("Новый диалог", assistant.clear_history) menu.addSeparator() menu.addAction("Выход", QApplication.quit) @@ -45,6 +50,7 @@ class TrayIcon(QSystemTrayIcon): self.messageClicked.connect(window.show_and_raise) assistant.state_changed.connect(self._on_state_changed) assistant.provider_changed.connect(self._on_provider_changed) + assistant.speech_enabled_changed.connect(self._speech_action.setChecked) assistant.reply_finished.connect(self._on_reply_finished) assistant.error_occurred.connect(self._on_error) diff --git a/tests/test_speaker.py b/tests/test_speaker.py new file mode 100644 index 0000000..0f39a1e --- /dev/null +++ b/tests/test_speaker.py @@ -0,0 +1,126 @@ +import threading +import time +from collections.abc import Callable + +import numpy as np +import pytest +from PySide6.QtCore import QCoreApplication + +from agr_assistent.core.speech import Speaker + + +@pytest.fixture(scope="module") +def qapp() -> QCoreApplication: + return QCoreApplication.instance() or QCoreApplication([]) + + +class FakeEngine: + sample_rate = 1000 + + def __init__(self, fail_on: str | None = None) -> None: + self.fail_on = fail_on + + def load(self) -> None: + pass + + def synthesize(self, text: str) -> np.ndarray: + if text == self.fail_on: + raise RuntimeError("boom") + return np.zeros(10, dtype=np.float32) + + +class FakePlayer: + def __init__(self, play_seconds: float = 0.0) -> None: + self.play_seconds = play_seconds + self.played = 0 + self.finished = 0 + self.aborted = 0 + self.lock = threading.Lock() + + def play(self, audio: np.ndarray, sample_rate: int, should_continue: Callable[[], bool]) -> None: + deadline = time.monotonic() + self.play_seconds + while time.monotonic() < deadline: + if not should_continue(): + self.abort() + return + time.sleep(0.005) + with self.lock: + self.played += 1 + + def finish(self) -> None: + self.finished += 1 + + def abort(self) -> None: + self.aborted += 1 + + +def _wait_until(condition: Callable[[], bool], timeout: float = 3.0) -> None: + deadline = time.monotonic() + timeout + while not condition(): + assert time.monotonic() < deadline, "условие не выполнилось вовремя" + QCoreApplication.processEvents() + time.sleep(0.005) + + +def test_reply_is_spoken_sentence_by_sentence(qapp: QCoreApplication) -> None: + player = FakePlayer() + speaker = Speaker(FakeEngine(), player, enabled=True) + events: list[str] = [] + speaker.playback_started.connect(lambda: events.append("started")) + speaker.finished.connect(lambda: events.append("finished")) + + speaker.begin() + speaker.feed("Раз. Два! ") + speaker.feed("Три") + speaker.end() + + _wait_until(lambda: "finished" in events) + assert events == ["started", "finished"] + assert player.played == 3 + assert player.finished == 1 + assert not speaker.is_active + + +def test_stop_interrupts_playback(qapp: QCoreApplication) -> None: + player = FakePlayer(play_seconds=0.5) + speaker = Speaker(FakeEngine(), player, enabled=True) + finished: list[bool] = [] + speaker.finished.connect(lambda: finished.append(True)) + + speaker.begin() + speaker.feed("Первая фраза. Вторая фраза. ") + _wait_until(lambda: speaker.is_playing) + speaker.stop() + + assert finished == [True] + _wait_until(lambda: player.aborted >= 1) + time.sleep(0.1) + assert player.played == 0 + + +def test_disabled_speaker_ignores_replies(qapp: QCoreApplication) -> None: + player = FakePlayer() + speaker = Speaker(FakeEngine(), player, enabled=False) + + speaker.begin() + speaker.feed("Привет. ") + speaker.end() + + assert not speaker.is_active + time.sleep(0.1) + assert player.played == 0 + + +def test_synthesis_error_stops_reply_and_reports(qapp: QCoreApplication) -> None: + speaker = Speaker(FakeEngine(fail_on="Плохо."), FakePlayer(), enabled=True) + errors: list[str] = [] + speaker.error_occurred.connect(errors.append) + + speaker.begin() + speaker.feed("Плохо. Хорошо. Ещё. ") + speaker.end() + + _wait_until(lambda: bool(errors)) + assert len(errors) == 1 + assert "boom" in errors[0] + assert not speaker.is_active diff --git a/tests/test_speech_text.py b/tests/test_speech_text.py new file mode 100644 index 0000000..a608fc3 --- /dev/null +++ b/tests/test_speech_text.py @@ -0,0 +1,50 @@ +from agr_assistent.tts.text import SpeechTextStream, normalize_for_speech, split_long_text + + +def _feed_all(chunks: list[str]) -> list[str]: + stream = SpeechTextStream() + result = [] + for chunk in chunks: + result.extend(stream.feed(chunk)) + return result + stream.flush() + + +def test_sentences_are_emitted_as_soon_as_complete() -> None: + stream = SpeechTextStream() + + assert stream.feed("Привет! Как ") == ["Привет!"] + assert stream.feed("дела? Хоро") == ["Как дела?"] + assert stream.flush() == ["Хоро"] + + +def test_decimal_numbers_and_list_markers_do_not_split() -> None: + assert _feed_all(["Будет 3.", "5 градуса.\n", "1. Первый пункт"]) == [ + "Будет три целых пять десятых градуса.", + "Первый пункт", + ] + + +def test_code_blocks_are_skipped() -> None: + chunks = ["Пример:\n``", "`python\nprint('Привет')\n", "```\nГотово."] + + assert _feed_all(chunks) == ["Пример:", "Готово."] + + +def test_normalize_removes_markdown_links_and_latin() -> None: + text = "**Важно**: смотри [документацию](https://x.io) и https://y.io, Python тоже 😀" + + assert normalize_for_speech(text) == "Важно: смотри документацию и ссылка, тоже" + + +def test_text_without_cyrillic_is_not_spoken() -> None: + assert normalize_for_speech("Hello, world! 👋") == "" + assert _feed_all(["Hello world.\n"]) == [] + + +def test_long_text_is_split_on_commas_and_spaces() -> None: + text = ", ".join(["слово"] * 100) + + parts = split_long_text(text, limit=50) + + assert all(len(part) <= 50 for part in parts) + assert " ".join(parts).replace(" ,", ",") == text diff --git a/uv.lock b/uv.lock index b2557c3..97f5004 100644 --- a/uv.lock +++ b/uv.lock 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