mirror of
https://github.com/jamiepine/voicebox.git
synced 2026-09-18 22:30:40 -07:00
Jamie Pine
3b14f81741
- Added macOS support for PyTorch CPU providers in the release workflow. - Updated the ProviderSettings component to handle macOS-specific conditions and improve UI interactions. - Refactored the radio group component styles for better accessibility and visual consistency. - Improved provider management logic to ensure proper handling of available providers across different platforms.
233 lines
8.5 KiB
Python
233 lines
8.5 KiB
Python
"""
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Provider management system for TTS providers.
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"""
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from typing import Optional
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import platform
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from pathlib import Path
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from .base import TTSProvider
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from .types import ProviderType
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from .bundled import BundledProvider
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from .local import LocalProvider
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from .installer import get_provider_binary_path, _get_providers_dir
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from ..config import get_data_dir
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import subprocess
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import socket
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class ProviderManager:
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"""Manages TTS provider lifecycle."""
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def __init__(self):
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self.active_provider: Optional[TTSProvider] = None
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self._default_provider: Optional[TTSProvider] = None
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self._provider_process: Optional[subprocess.Popen] = None
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self._provider_port: Optional[int] = None
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def _get_default_provider(self) -> TTSProvider:
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"""Get the default bundled provider."""
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if self._default_provider is None:
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self._default_provider = BundledProvider()
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return self._default_provider
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async def get_active_provider(self) -> TTSProvider:
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"""
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Get the currently active provider.
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Returns:
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Active TTS provider instance
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"""
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if self.active_provider is None:
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# Default to bundled provider
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self.active_provider = self._get_default_provider()
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return self.active_provider
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async def start_provider(self, provider_type: str) -> None:
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"""
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Start a TTS provider.
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Args:
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provider_type: Type of provider to start
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"""
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if provider_type == "bundled-mlx":
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# Use bundled MLX provider
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self.active_provider = self._get_default_provider()
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elif provider_type in ["pytorch-cpu", "pytorch-cuda"]:
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# Try to start external provider subprocess if binary exists
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provider_path = get_provider_binary_path(provider_type)
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if provider_path and provider_path.exists():
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# External downloaded provider exists, start it
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# Find a free port
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port = self._get_free_port()
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# Start provider subprocess
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from ..config import get_data_dir
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process = subprocess.Popen(
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[
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str(provider_path),
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"--port", str(port),
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"--data-dir", str(get_data_dir()),
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],
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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)
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# Wait for provider to be ready
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base_url = f"http://127.0.0.1:{port}"
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await self._wait_for_provider_health(base_url, timeout=30)
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# Create LocalProvider instance
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self.active_provider = LocalProvider(base_url)
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self._provider_process = process
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self._provider_port = port
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else:
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# No external binary, use bundled provider (if available)
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if provider_type == "pytorch-cpu":
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# PyTorch CPU can use bundled backend
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self.active_provider = self._get_default_provider()
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else:
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raise ValueError(f"Provider {provider_type} is not installed. Please download it first.")
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elif provider_type == "remote":
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# Remote provider - will be implemented in Phase 5
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raise NotImplementedError("Remote provider not yet implemented")
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elif provider_type == "openai":
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# OpenAI provider - will be implemented in Phase 5
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raise NotImplementedError("OpenAI provider not yet implemented")
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else:
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raise ValueError(f"Unknown provider type: {provider_type}")
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async def stop_provider(self) -> None:
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"""Stop the active provider."""
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if self.active_provider:
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# Only stop if it's not the default bundled provider
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if self.active_provider is not self._default_provider:
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if hasattr(self.active_provider, 'stop'):
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await self.active_provider.stop()
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self.active_provider = None
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# Stop subprocess if running
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if self._provider_process:
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self._provider_process.terminate()
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try:
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self._provider_process.wait(timeout=5)
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except subprocess.TimeoutExpired:
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self._provider_process.kill()
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self._provider_process = None
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self._provider_port = None
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async def list_installed(self) -> list[str]:
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"""
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List installed provider types.
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Returns:
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List of installed provider type strings
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"""
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installed = []
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# Bundled providers are always available
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system = platform.system()
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machine = platform.machine()
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if system == "Darwin" and machine == "arm64":
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# Apple Silicon gets MLX
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installed.append("bundled-mlx")
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# PyTorch CPU is available on all platforms (check if bundled or downloaded)
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# For now, assume it's bundled on macOS Intel, Windows, Linux
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# Downloaded binaries will be detected below
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if not (system == "Darwin" and machine == "arm64"):
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# Non-Apple Silicon systems have PyTorch CPU bundled
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installed.append("pytorch-cpu")
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# Check for downloaded providers (Phase 2)
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providers_dir = _get_providers_dir()
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if providers_dir.exists():
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for provider_file in providers_dir.glob("tts-provider-*"):
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if provider_file.is_file() and provider_file.stat().st_size > 0:
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name = provider_file.name
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if "pytorch-cpu" in name:
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installed.append("pytorch-cpu")
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elif "pytorch-cuda" in name:
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installed.append("pytorch-cuda")
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return installed
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async def get_provider_info(self, provider_type: str) -> dict:
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"""
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Get information about a provider.
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Args:
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provider_type: Type of provider
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Returns:
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Provider information dictionary
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"""
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if provider_type in ["bundled-mlx", "bundled-pytorch"]:
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return {
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"type": provider_type,
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"name": "Bundled Provider",
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"installed": True,
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"size_mb": None, # Bundled, no separate size
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}
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elif provider_type == "pytorch-cpu":
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return {
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"type": provider_type,
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"name": "PyTorch CPU",
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"installed": provider_type in await self.list_installed(),
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"size_mb": 300,
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}
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elif provider_type == "pytorch-cuda":
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return {
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"type": provider_type,
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"name": "PyTorch CUDA",
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"installed": provider_type in await self.list_installed(),
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"size_mb": 2400,
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}
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else:
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return {
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"type": provider_type,
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"name": provider_type,
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"installed": False,
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"size_mb": None,
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}
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def _get_free_port(self) -> int:
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"""Get a free port for the provider server."""
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with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
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s.bind(('', 0))
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return s.getsockname()[1]
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async def _wait_for_provider_health(self, base_url: str, timeout: int = 30) -> None:
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"""Wait for provider to become healthy."""
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import httpx
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import asyncio
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start_time = asyncio.get_event_loop().time()
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while True:
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try:
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async with httpx.AsyncClient(timeout=2.0) as client:
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response = await client.get(f"{base_url}/tts/health")
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if response.status_code == 200:
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return
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except Exception:
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pass
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if asyncio.get_event_loop().time() - start_time > timeout:
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raise TimeoutError(f"Provider did not become healthy within {timeout} seconds")
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await asyncio.sleep(0.5)
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# Global provider manager instance
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_provider_manager: Optional[ProviderManager] = None
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def get_provider_manager() -> ProviderManager:
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"""Get the global provider manager instance."""
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global _provider_manager
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if _provider_manager is None:
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_provider_manager = ProviderManager()
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return _provider_manager
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