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Jamie Pine
94487f32a5
- 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.