Enhance MLX and PyTorch Backend Integration

- Added support for MLX backend on Apple Silicon, enabling optimized performance for TTS and STT tasks.
- Implemented platform detection to dynamically select between MLX and PyTorch based on the runtime environment.
- Updated build process to include MLX-specific dependencies and configurations for macOS.
- Refactored backend code to improve model loading and inference logic, accommodating backend-specific requirements.
- Enhanced documentation to clarify backend selection and performance benefits for different platforms.
- Streamlined installation instructions and troubleshooting guidance for MLX-related issues.

backend/build_binary.py

@@ -41,7 +41,7 @@ def build_server():
         '--hidden-import', 'backend.history',
         '--hidden-import', 'backend.tts',
         '--hidden-import', 'backend.transcribe',
-        '--hidden-import', 'backend.platform',
+        '--hidden-import', 'backend.platform_detect',
         '--hidden-import', 'backend.backends',
         '--hidden-import', 'backend.backends.pytorch_backend',
         '--hidden-import', 'backend.utils.audio',
@@ -83,6 +83,9 @@ def build_server():
             '--hidden-import', 'mlx_audio.asr',
             '--collect-submodules', 'mlx',
             '--collect-submodules', 'mlx_audio',
+            # Collect MLX data files including Metal shader libraries (.metallib)
+            '--collect-data', 'mlx',
+            '--collect-data', 'mlx_audio',
         ])
     else:
         print("Building for non-Apple Silicon platform - PyTorch only")