Implement TTS provider management system and update release workflow

- Added support for TTS providers in the backend, including endpoints for listing, starting, stopping, and downloading providers.
- Enhanced the release workflow to build and upload TTS provider binaries for both Windows and Linux platforms.
- Updated the architecture documentation to reflect the new provider system and its benefits for modularity and user experience.
- Introduced a new `ProviderSettings` component in the frontend for managing provider configurations.

providers/pytorch-cuda/build.py

@@ -0,0 +1,84 @@
+"""
+PyInstaller build script for PyTorch CUDA provider.
+"""
+
+import PyInstaller.__main__
+import os
+import platform
+from pathlib import Path
+
+
+def build_provider():
+    """Build PyTorch CUDA provider as standalone binary."""
+    provider_dir = Path(__file__).parent
+    backend_dir = provider_dir.parent.parent / "backend"
+    
+    # PyInstaller arguments
+    args = [
+        'main.py',
+        '--onefile',
+        '--name', 'tts-provider-pytorch-cuda',
+    ]
+    
+    # Add backend to path
+    args.extend([
+        '--paths', str(backend_dir.parent),
+    ])
+    
+    # Add hidden imports
+    args.extend([
+        '--hidden-import', 'backend',
+        '--hidden-import', 'backend.backends',
+        '--hidden-import', 'backend.backends.pytorch_backend',
+        '--hidden-import', 'backend.config',
+        '--hidden-import', 'backend.utils.audio',
+        '--hidden-import', 'backend.utils.cache',
+        '--hidden-import', 'backend.utils.progress',
+        '--hidden-import', 'backend.utils.hf_progress',
+        '--hidden-import', 'backend.utils.tasks',
+        '--hidden-import', 'torch',
+        '--hidden-import', 'torch.cuda',
+        '--hidden-import', 'torch.backends.cudnn',
+        '--hidden-import', 'transformers',
+        '--hidden-import', 'qwen_tts',
+        '--hidden-import', 'qwen_tts.inference',
+        '--hidden-import', 'qwen_tts.inference.qwen3_tts_model',
+        '--hidden-import', 'qwen_tts.inference.qwen3_tts_tokenizer',
+        '--hidden-import', 'qwen_tts.core',
+        '--hidden-import', 'qwen_tts.cli',
+        '--copy-metadata', 'qwen-tts',
+        '--collect-submodules', 'qwen_tts',
+        '--collect-data', 'qwen_tts',
+        '--hidden-import', 'pkg_resources.extern',
+        '--collect-submodules', 'jaraco',
+        '--hidden-import', 'fastapi',
+        '--hidden-import', 'uvicorn',
+        '--hidden-import', 'soundfile',
+        '--hidden-import', 'numpy',
+        '--hidden-import', 'librosa',
+    ])
+    
+    # Platform-specific extensions
+    if platform.system() == "Windows":
+        args[2] = 'tts-provider-pytorch-cuda.exe'
+    
+    args.extend([
+        '--noconfirm',
+        '--clean',
+    ])
+    
+    # Change to provider directory
+    os.chdir(provider_dir)
+    
+    # Run PyInstaller
+    PyInstaller.__main__.run(args)
+    
+    binary_name = 'tts-provider-pytorch-cuda'
+    if platform.system() == "Windows":
+        binary_name += '.exe'
+    
+    print(f"Binary built in {provider_dir / 'dist' / binary_name}")
+
+
+if __name__ == '__main__':
+    build_provider()