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Commit History
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fix: harden _run_classification to handle Gradio 4+ FileData Pydantic model
NMundhra- Handle dict FileData: .get('path') or .get('name') or .get('url') - Handle Pydantic FileData object: check .path attribute first (not .name) - Add guard: return error if img_path is still None after all branches - Fixes: FileData() argument after ** must be a mapping, not str Client-side fix (two-step upload_files) is applied in octAnalyzerClient.js.f8f0fd8 -
fix(input): set gr.Image type='filepath' for Gradio 4+ API file handling
c97cde3 -
fix(adapter): return dict mapping {'path': cam_img_path} for Gradio 4+ FileData serialization
f4753ed -
fix(adapter): save Grad-CAM overlay to temp filepath for Gradio FileData compatibility
1a222d7 -
fix(app): add comprehensive image_input type handling for dictionary/path/PIL objects
754d54a -
fix(app): import spaces first and wrap demo.launch() inside main guard for ZeroGPU supervisor
3fe9172 -
fix(app): call demo.launch() without hardcoded server_port for ZeroGPU container socket compatibility
258db9f -
fix(app): place demo.queue() and demo.launch() inside if HAS_GRADIO block
4aed69b -
fix(app): add demo.queue() and standard main guard launcher for Hugging Face Gradio supervisor
b43fb26 -
fix(app): launch demo unconditionally at root level to prevent container exit 0
c0286fc -
fix: check HAS_ZEROGPU before @spaces.GPU to prevent connection reset on CPU hardware
cda4955
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Upload app.py with huggingface_hub
Verified signature1fa9e8d -
Upload app.py with huggingface_hub
Verified signature356d0f9
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Fix L1 gatekeeper ResNet-50 compatibility, integrate L1-L2-L3 pipeline and return Base64 GradCAMs
194eedd
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Hotfix: extract model_state_dict from checkpoint
04f512c -
Add Bucket upload and huggingface_hub
698a40b -
Track model weights with LFS
8ccabdf