app: warn if input values are out of log2 range (guards against raw TPM/counts)

README: demo now runs the real model (int8 TorchScript), drop SVD/approximate wording

Run real model: load 53MB int8 TorchScript, drop SVD fallback, slim deps

Fix footer GitHub URL to manuscript repo

Clarify demo is approximate; fix GitHub URL; resolve merge

Clarify demo is approximate; fix GitHub URL to manuscript repo

Update README.md

Update README.md

Update README to 118K model + usage docs

Update to 118K tissue-curated model (kNN demo mode)

Update requirements.txt

Update app.py

Update app.py

Update app.py

Update app.py

Update app.py

Upload test_10samples.csv

Upload app.py

Delete app.py

Upload test_clin.csv

Upload train_clin.csv

Upload 2 files

Upload embeddings_train.csv

Upload vae_tissue.artifacts.joblib

Upload app.py

Update requirements.txt

Update README.md

initial commit

Duplicate from streamlit/streamlit-template-space