fix requirements.txt with no hash

Add GradCAM target layer selection and UI defaults integration

Add case-based model selection with new model set

update .gitignore

Stream batch results before XDL and align XDL math/coloring

Enhance UI and inference functionality with XDL result saving and summary improvements

Regenerate hashed requirements for HF Spaces build

Add missing XDL runtime deps to requirements for HF Spaces

Switch to batch-only UI with folder upload and device detection

update README with proper template

Merge remote-tracking branch origin/main keeping local app version

Update README and add inference smoke tests

Remove unused legacy training/analysis modules

Simplify DenseNet, preprocessing, and DenseNet-only XDL helpers

Split app into launcher, UI, and inference modules

Add project metadata and lockfile with XDL deps

Update app.py

Update app.py

Fix: Add model with LFS and include source code

Add application file

initial commit