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Add the ability to download a CUDA-enabled backend binary (~2.4 GB) and swap it in via a backend-only restart, solving the #1 user pain point (19 open 'GPU not detected' issues caused by GitHub's 2 GB asset limit). Backend: - cuda_download.py: download from R2 (primary) or GitHub split-parts (fallback), SHA-256 verification, atomic writes, progress via SSE - 4 new endpoints: GET/POST/DELETE /backend/cuda-*, GET cuda-progress - server.py: --version flag, auto-detect variant from binary name - build_binary.py: --cuda flag for CUDA PyInstaller builds - split_binary.py: split large binaries into <2GB GitHub Release assets - CI workflow for building CUDA binary Tauri: - restart_server command (stop -> wait -> start) - start_server prefers CUDA binary from {data_dir}/backends/ if present - Version mismatch check: runs --version before launching CUDA binary Frontend: - GpuAcceleration component: download, progress, restart, switch, delete - API client + types for CUDA status and management - Platform lifecycle: restartServer() on Tauri/Web - Aggressive 1s health polling during restart for fast reconnection
29 lines
431 B
Plaintext
29 lines
431 B
Plaintext
# FastAPI and server
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fastapi>=0.109.0
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uvicorn[standard]>=0.27.0
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pydantic>=2.5.0
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# Database
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sqlalchemy>=2.0.0
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alembic>=1.13.0
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# ML models
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torch>=2.1.0
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transformers>=4.36.0
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accelerate>=0.26.0
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huggingface_hub>=0.20.0
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qwen-tts>=0.0.5
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# Audio processing
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librosa>=0.10.0
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soundfile>=0.12.0
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numpy>=1.24.0
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numba>=0.60.0,<0.61.0
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# HTTP client (for CUDA backend download)
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httpx>=0.27.0
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# Utilities
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python-multipart>=0.0.6
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Pillow>=10.0.0
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