Commit History

  1. fix: harden _run_classification to handle Gradio 4+ FileData Pydantic model⁠

    NMundhra
    f8f0fd8
  2. fix(input): set gr.Image type='filepath' for Gradio 4+ API file handling

    c97cde3
  3. fix(adapter): return dict mapping {'path': cam_img_path} for Gradio 4+ FileData serialization

    f4753ed
  4. fix(adapter): save Grad-CAM overlay to temp filepath for Gradio FileData compatibility

    1a222d7
  5. fix(app): add comprehensive image_input type handling for dictionary/path/PIL objects

    754d54a
  6. fix(app): import spaces first and wrap demo.launch() inside main guard for ZeroGPU supervisor

    3fe9172
  7. fix(app): call demo.launch() without hardcoded server_port for ZeroGPU container socket compatibility

    258db9f
  8. fix(app): place demo.queue() and demo.launch() inside if HAS_GRADIO block

    4aed69b
  9. fix(app): add demo.queue() and standard main guard launcher for Hugging Face Gradio supervisor

    b43fb26
  10. fix(app): launch demo unconditionally at root level to prevent container exit 0

    c0286fc
  11. fix: check HAS_ZEROGPU before @spaces.GPU to prevent connection reset on CPU hardware

    cda4955

  1. Upload app.py with huggingface_hub

    Verified signature
    1fa9e8d
  2. Upload app.py with huggingface_hub

    Verified signature
    356d0f9

  1. Fix L1 gatekeeper ResNet-50 compatibility, integrate L1-L2-L3 pipeline and return Base64 GradCAMs

    194eedd

  1. Hotfix: extract model_state_dict from checkpoint

    04f512c
  2. Add Bucket upload and huggingface_hub

    698a40b
  3. Track model weights with LFS

    8ccabdf