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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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backend/main.py
+1 -1
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@@ -27,7 +27,7 @@ from . import database, models, profiles, history, tts, transcribe, config, expo
from .database import get_db, Generation as DBGeneration, VoiceProfile as DBVoiceProfile
from .utils.progress import get_progress_manager
from .utils.tasks import get_task_manager
from .platform import get_backend_type
from .platform_detect import get_backend_type
app = FastAPI(
title="voicebox API",