Add quick ANTs registration profile

Make ANTs prep timeout and CPU detection robust

Use ARC_ATLAS_v3.1 HF model repo for Space inference

Enable ZeroGPU decorator and switch HF defaults to rmbielski org

Auto-preload default ARC_ATLAS V3 model from HF for inference

Add HF dataset model artifact sync for lesion inference

Add Streamlit lesion inference panel and ignore local artifacts

the-brAIn-lab/Approximate_Numeracy added to the dropdown.

the-brAIn-lab/ARC will now appear as a preset option in the "Dataset" dropdown inside the "Browse HF Dataset" tab,

Back to a 50/50 column split

Removed base64, html, and PIL.Image — all three were only needed by the old data URI path. Reload the app and the images should now fill the full container width.

The _render_inline_image function already uses width:100%;height:auto on the <img> tag, so it fills whatever container it's placed in. By switching from a 50/50 column split to a full-width st.container(), both viewers (native-space and registered/normalized) will now render at the full page width. No rebuild needed — just reload the app.

Dockerfile

Implemented a fix for the “runs forever” behavior by removing the two biggest blind spots: repeated runtime sync work and unbounded ANTs subprocess time.

Two new constants — HF_DATA_CACHE_ROOT (where downloaded NIfTIs get cached) and PUBLIC_HF_DATASETS (starting with the-brAIn-lab/Atlas_2)

mplemented all requested changes in streamlit_app.py.

Added _ensure_executable_binary at streamlit_app.py (line 79) to force execute bits.

...

Implemented. streamlit_app.py is now an integrated prep app with the flow described:

added prep_utils.py file and Created viewer1.py with all viewer logic.

Fixed the scaling logic so it’s relative to the page width (not the raw pixel width).

Image now renders at 50% width.

Fixed. If the 4th dimension is a singleton (like (256, 256, 26, 1)), we now skip the slider and squeeze to 3D.

Disabled XSRF/CORS in Streamlit config (common fix for HF Spaces file upload inside the iframe).

Implemented step 1: upload a .nii/.nii.gz and display a slice in Streamlit.

Duplicate from streamlit/streamlit-template-space