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refactor(ui): replace subprocess sample build with in-process dataset loader
- New obtener_dataset() generator runs VLM pipeline in-process - Real-time UI updates: log + gallery filling as garments are processed - Supports multiple HF datasets (second-hand, fashion-1k) - Single "Obtener Dataset" button replaces previous two-button setup - Add event context textbox in Combina tab for LLM ranking - Detect HF Spaces environment for server binding (0.0.0.0:7860) - Ensure data/ directories are created at startup Co-authored-by: Cursor <cursoragent@cursor.com>295e5db -
feat(sample): add pre-processed sample wardrobe with 50 garments
Add "Cargar armario de ejemplo" button that instantly loads 50 pre-cataloged garments from Codatta/Fashion-1K dataset. Allows demoing the full app (wardrobe, combinations, chat) without waiting for VLM inference. - scripts/build_sample_wardrobe.py: offline pipeline that downloads Fashion-1K, runs detector + VLM, saves results to data/samples/ - data/samples/: 50 garment crops + catalog.json (1.7 MB) - app.py: load_sample_wardrobe() handler + UI button in Capture tab Co-authored-by: Cursor <cursoragent@cursor.com>5ee2642 -
feat(wardrobe): implement vision pipeline, catalog and assistant
- Add VLM-based garment extraction with Gemma 3 4B (src/vision.py) - Add JSON catalog storage with search and stats (src/catalog.py) - Add context-injected assistant with streaming (src/assistant.py) - Add singleton model loader with VRAM management (src/model_loader.py) - Implement 3-tab Gradio UI (Capture, Wardrobe, Chat) - Update shootout script for Gemma 3 4B handler Co-authored-by: Cursor <cursoragent@cursor.com>75e0882
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feat (wardrobe): prepare project structure and basic gradio ui
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