Set up ChromBPNet as a remote tool

Sharing this model for a user, not developing it? Follow the tooluniverse-share-computer guide; no ToolUniverse source checkout is needed. The model runs in its own Python environment, with its dependencies:

~/.local/bin/uv venv --python 3.12 ~/.tooluniverse/envs/chrombpnet
curl -fsSL -o ~/.tooluniverse/envs/chrombpnet-tooluniverse.txt https://connect.aiscientist.tools/install-requirements.txt
curl -fsSL -o ~/.tooluniverse/envs/chrombpnet-requirements.txt https://raw.githubusercontent.com/mims-harvard/ToolUniverse/main/src/tooluniverse/remote/chrombpnet/requirements.txt
~/.local/bin/uv pip install --python ~/.tooluniverse/envs/chrombpnet/bin/python -r ~/.tooluniverse/envs/chrombpnet-tooluniverse.txt -r ~/.tooluniverse/envs/chrombpnet-requirements.txt
~/.local/bin/tu remote check chrombpnet --python ~/.tooluniverse/envs/chrombpnet/bin/python   # lists anything still missing
~/.local/bin/tu serve --allow chrombpnet --python ~/.tooluniverse/envs/chrombpnet/bin/python --share --detach --name "<computer name>" --service https://tooluniverse-backend.onrender.com

If the check reports a missing environment variable (a data folder, a model cache, a provider key), set it in the same shell before tu serve; "Obtain credentials, data, and model weights" below says what each one is. The model reads only the variables it declares.

The rest of this guide is for developers working from the ToolUniverse source, and for diagnosing problems with this model.

Validation status (2026-08-16): TensorFlow safely loaded a generated Keras-v3 fixture; loopback prediction and variant-effect calls returned bounded finite contract results. No reviewed trained ChromBPNet artifact was available, so scientific inference, public publication, cross-user isolation, and production performance remain unvalidated. Authenticated private Platform import and owner testing passed on 2026-08-16; public publication and independent-caller authorization/isolation remain untested.