Fetching metadata from the HF Docker repository...
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Delete calibration.pkl with huggingface_hub
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Delete fundus_validator.pt with huggingface_hub
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Delete final_model.pt with huggingface_hub
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Upload Dockerfile with huggingface_hub
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Upload app.py with huggingface_hub
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Upload v9 artifact: README.md
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Fix GradCAM shape mismatch causing inference errors
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Feature: Add CLAHE explicitly, Lesion ROIs, safe predict, queueing, and Premium UI
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Fix torch.load: add weights_only=False for PyTorch 2.x compatibility
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Upgrade to gradio 5 + Python 3.13 compat
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Upgrade to gradio 5 + Python 3.13 compat
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Upgrade to gradio 5 + Python 3.13 compat
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Fix runtime: Gradio SDK + huggingface_hub==0.25.2
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Fix runtime: Gradio SDK + huggingface_hub==0.25.2
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Fix: pytorch-grad-cam → grad-cam (correct PyPI name)
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CPU-only torch requirements for Gradio SDK
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Switch to Gradio SDK with python 3.10
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Remove Dockerfile: switch to Gradio SDK
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Fix: explicit CPU torch 2.1.0+cpu with --index-url
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Fix: explicit CPU torch 2.1.0+cpu with --index-url
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Simplify requirements.txt: single pip install with CPU torch
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Simplify Dockerfile: single pip install with CPU torch
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Fix requirements.txt: add gcc back, relax version pins
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Fix Dockerfile: add gcc back, relax version pins
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Minimize requirements.txt: split torch install, remove gcc
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Minimize Dockerfile: split torch install, remove gcc
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Optimize requirements.txt: CPU-only torch, runtime model download
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Optimize Dockerfile: CPU-only torch, runtime model download
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Download model weights at runtime from HF repo
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Add huggingface_hub for runtime model download
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Slim Dockerfile: only copy app code, download models at runtime
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Fix requirements.txt: clean formatting and correct deps
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Fix Dockerfile: clean formatting and correct deps
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Remove large notebook file (not needed at runtime)
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Update requirements.txt
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Update requirements.txt
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Update Dockerfile
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Fix: replace deprecated libgl1-mesa-glx with libgl1 for Debian Trixie
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Upload README.md with huggingface_hub
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Upload Dockerfile with huggingface_hub
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Upload requirements.txt with huggingface_hub
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Upload app.py with huggingface_hub
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Upload folder using huggingface_hub
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initial commit
