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Footer: restore code link
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Footer: research use only
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Remove management advice from the output; label the score as a risk score, not a calibrated probability; add research-only and camera-dependence caveats
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Tighten the framing of the bundled example image
Verified signatureThe sample was a public DDR image with a wide dark border; the disc covered only 60% of the frame. Grad-CAM is computed on a 16x16 vision-transformer token grid, so on that framing roughly 45% of the displayed heat falls outside the retina even though the border does not drive the prediction. Cropping to the disc leaves the probability unchanged (0.0066 -> 0.0067) and reduces out-of-retina heat to 3%, so the demo's default output now matches Supplementary Figure S7.7fc51e0
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Update app.py
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Update app.py
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Robust weight loading: hf_hub_download (cached/resumable) + URL timeout to fix free-Space cold-start 'Starting' hang
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Upload app.py with huggingface_hub
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initial commit
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