bfe6f542ce
Resolve the drift between PR #6763 and current main: - deletion: main moved cached-model deletion into hub/services/models/deletion.py, so the PR's Images/Video in-use guards move there too as _diffusion_blocks_delete and _video_blocks_delete, keeping main's fail-closed 503 contract. - llama_keepwarm: take main's rewrite, re-apply the PR's image/video inference suffixes so a generation in flight blocks an idle unload. - routes/training: keep main's sidecar-swap 409 and resume_source_run_id, run start_training in the worker thread the PR's unload hook needs. - model picker: main renamed components/assistant-ui/model-selector -> features/model-picker/... and rewrote pickers.tsx, so the PR's picker work is ported onto main's version (task/catalog props, task gating of hub + cached + local rows, single-device expanderGpuGb, fine-tuned section hidden when scoped) rather than reverting main's pinned-models and per-model-config work. - images/video pages: imports repointed at the new model-selector path. - tests: delete-guard tests retargeted at the deletion service. Typecheck, i18n parity and model-catalog checks pass.
37 lines
1.3 KiB
Text
37 lines
1.3 KiB
Text
# Unsloth UI backend dependencies
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typer
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fastapi
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uvicorn
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pydantic
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packaging
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matplotlib==3.10.9
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pandas
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nest_asyncio
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datasets==4.3.0
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pyjwt
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# gradio>=4.0.0 # 148 MB - Unsloth uses React + FastAPI, not Gradio
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huggingface-hub==0.36.2
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structlog>=24.1.0
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diceware
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ddgs
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cryptography>=42.0.0
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boto3>=1.34.0 # optional: S3 dataset loading
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httpx>=0.27.0
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fastmcp>=3.0.2
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# Local image generation (Images page): diffusers' GGUFQuantizationConfig needs
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# the gguf reader. diffusers itself is torch-bound and comes via the ML stack;
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# gguf is torch-free so it lives here, where it's installed in every mode.
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gguf
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# Local video generation (Video page): MP4 encode (H.264 + AAC mux for LTX-2's
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# synchronized audio) runs through PyAV, which bundles its own ffmpeg libs. The
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# video load path fails fast with a clear error when this is missing, so keep it
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# in the base studio set rather than an extra.
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av>=12.0.0
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# RAG (knowledge bases, hybrid retrieval). sentence-transformers lives in
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# extras-no-deps.txt; these add the lexical+dense store and document parsing.
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sqlite-vec==0.1.9
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pymupdf==1.27.2.3
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# 0.3.x keeps pymupdf-layout (which pulls onnxruntime) an optional extra; the
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# lockstep 1.27.x line makes it a hard dep we do not need for to_markdown().
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pymupdf4llm==0.3.4
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python-docx==1.2.0
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