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.

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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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