# Store the large model checkpoint via Git LFS (required for Hugging Face Spaces,
# which mandates LFS for files >10 MB, and to keep git history lean).
#
# The processed PyG conditioning tensors (*.pt) are intentionally NOT tracked by
# LFS: each is ~12-33 KB, so plain git blobs are cheaper than LFS pointers.
*.ckpt filter=lfs diff=lfs merge=lfs -text

# The survey-sample audio is shipped pre-encoded in assets/samples_b64.json so it
# is NOT stored via Git LFS — on Hugging Face Spaces *.mp3 is LFS-tracked and the
# running container only receives the LFS pointer text (not the audio), so the
# players were silent.  A plain JSON blob deploys with its real contents intact.
assets/samples_b64.json -filter -diff -merge