Spaces:
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Sleeping
Senum2001
Add automated training scheduler - checks every 2 minutes and trains when 10+ feedback samples available
a023a85 | # Optimized requirements - minimal dependencies for Hugging Face Spaces | |
| # Core inference only, no training dependencies | |
| # PyTorch (CPU version to save space) | |
| --extra-index-url https://download.pytorch.org/whl/cpu | |
| torch==2.4.1+cpu | |
| torchvision==0.19.1+cpu | |
| # Anomalib (minimal, not [full]) | |
| # Using specific version to avoid VLM model imports | |
| anomalib | |
| open-clip-torch | |
| # OpenCV and image processing | |
| opencv-python-headless | |
| pillow | |
| numpy | |
| # Flask web framework | |
| flask | |
| # Cloudinary for image upload | |
| cloudinary | |
| # Configuration | |
| omegaconf | |
| pyyaml | |
| python-dotenv | |
| # Utilities | |
| requests | |
| # Supabase for feedback storage | |
| supabase | |
| # Background task scheduling | |
| APScheduler | |