Fetching metadata from the HF Docker repository...
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Fix TypeError by reverting threshold parameter name back to threshold_ratio
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Change attention crop to mask outside bounding boxes, fix overlapping text in zone reference
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Increase font size for Zone Reference and Intensity Scale; increase upload limit to 10MB
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Change BBox color to red and increase size; update GPT prompt for starting sentence and red box explanation
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Fix attention bbox rendering: apply heatmap, increase box size/thickness. Remove text from UI.
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Downgrade transformers to fix torch 2.4.1 compatibility on Hugging Face
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Fix ModuleNotFoundError by adding matplotlib to requirements; add intensity scale bar to UI
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Update explainability with attention bbox, crop, and zone reference; remove GradCAM from UI
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chore: update favicon to use the specific branding image
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fix(e2e): update history button selector and brand site with new favicon/meta
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Enhance segmentation UI layout, implement local download, and improve diagnosis typography
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Align segmentation mask post-processing with Kaggle implementation
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Add engaging step-by-step processing loading screen for diagnosis and segmentation
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Implement Dedicated Storage Client to resolve RLS bypass and history issues
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Fix segmentation RLS path, implement clear history, and update UI styling
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Fix RLS for segmentation upload, history loading, and add About page
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HF configured
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Fix: Remove deprecated resume_download argument from transformers
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Fix: Make storage bucket public to prevent download errors
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update api.ts for HF
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update api.ts
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Fix: Replace custom CORS with standard CORSMiddleware regex
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Fix: Expand CORS allowed origins for Lovable
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Fix: Upgrade torch and add missing sklearn/openai
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Fix: Add scipy, skimage and downgrade numpy
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Fix: requirements.txt encoding
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Fix: Update apt-get package names
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Fix: Add Hugging Face metadata
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Deployment without binary files
