fix(hf): avoid eager 27GB dataset download on /api/cases (#46)

docs(deploy): add explicit frontend HF Space deployment steps

fix(audit): comprehensive P1-P4 audit fixes (#45)

fix(arch): comprehensive architecture audit fixes (#44)

fix(security): address P1 findings from post-refactor audit

fix(arch): Config SSOT, reproducible builds, and data pipeline documentation (#41)

docs(audit): add comprehensive bug audit report for 2024-12-12

Merge branch 'main' into dev

docs(audit): add deep dive audit report on bugs and anti-patterns

docs(bugs): add BUG-004 - StaticFiles CORS middleware not applied

feat(api): async job queue with comprehensive test coverage (#36)

fix(deploy): CORS and proxy-headers for HF Spaces (#35)

feat(deploy): HuggingFace Static Space for frontend (#34)

feat(api): FastAPI REST backend for React frontend

feat(frontend): React + Vite + NiiVue frontend (replaces Gradio) (#32)

fix: copy packages/ to Docker build context (fixes HF Spaces build #30)

feat: Gradio Custom Component for NiiVue (#29)

fix(ui): use head_paths for NiiVue loading on HF Spaces (#24) (#25)

fix(ui): vendor NiiVue library to bypass HF Spaces CSP (#24) (#24)

fix(ui): prediction overlay invisible, race condition, thread safety (#23) (#23)

fix(ui): replace base64 data URLs with Gradio file serving (#19)

docs: add spec for Issue #19 (base64 → file URL optimization)

fix(ui): NiiVue viewer re-initializes after segmentation completes (#21)

fix(ui): use js_on_load for NiiVue viewer instead of script tags (#20)

fix(docker): relocate app to /home/user/demo to preserve DeepISLES modules (#17)

fix(data): bypass load_dataset() to fix HF Spaces streaming hang and OOM (#16)

fix(data): use streaming mode to fix HF Spaces dataset hang (#15)

feat(data): integrate HuggingFace dataset as primary data source (#11)

fix: resolve technical debt (P2/P3) with TDD validation (#9)

docs: expand technical debt audit with external review findings

docs: add technical debt audit report

fix(ci): add pytest-timeout and HF Spaces deployment spec

feat(phase-5): polish, observability, and documentation (#6)

feat(phase-4): Gradio UI with NiiVue visualization (#5)

docs: document SEALS model selection and scientific rationale

feat: Phase 1A + Phase 2 - Local data loader and DeepISLES Docker wrapper (#3)

Refactor documentation for Docker and Gradio implementation. Removed outdated permission fix code and fallback matplotlib rendering section. Updated Gradio approach to use direct Base64 injection instead of FastAPI endpoints, enhancing simplicity and performance.

Add initial project structure and documentation for stroke-deepisles-demo