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.

package.json

@@ -14,7 +14,7 @@
     "dev:landing": "cd landing && bun run dev",
     "dev:server": "uvicorn backend.main:app --reload --port 17493",
     "setup:dev": "bun run scripts/setup-dev-sidecar.js",
-    "build": "cd tauri && bun run tauri build",
+    "build": "./scripts/build-server.sh && cd tauri && bun run tauri build",
     "build:web": "cd web && bun run build",
     "build:landing": "cd landing && bun run build",
     "build:release": "./scripts/prepare-release.sh",