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Enhance MLX and PyTorch Backend Integration

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- 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.
This commit is contained in:
Jamie Pine
2026-01-29 23:11:48 -08:00
parent 081f45e680
commit 94487f32a5
17 changed files with 200 additions and 82 deletions
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docs/developer/architecture.mdx
+5 -1
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@@ -121,8 +121,12 @@ bun run dev
### Production
```bash
# Build everything (server binary + Tauri app)
bun run build
# Or build separately:
# 1. Build server binary (PyInstaller)
./scripts/build-server.sh
bun run build:server
# 2. Build Tauri app (includes server)
cd tauri && bun run tauri build