Spaces:
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| title: Hexviz | |
| emoji: 👁️🧬 | |
| colorFrom: green | |
| colorTo: purple | |
| sdk: streamlit | |
| sdk_version: 1.17.0 | |
| python_version: 3.10.5 | |
| app_file: ./hexviz/🧬Attention_Visualization.py | |
| pinned: true | |
| tags: | |
| - protein language models | |
| - attention analysis | |
| - protein structure | |
| - biology | |
| # hexviz | |
| Visualize attention pattern on 3D protein structures | |
| ## Install and run | |
| ```shell | |
| poetry install | |
| poetry run streamlit run hexviz/streamlit/Attention_On_Structure.py | |
| ``` | |
| ## Export dependecies from poetry | |
| Spaces [require](https://huggingface.co/docs/hub/spaces-dependencies#adding-your-own-dependencies) dependencies in a `requirements.txt` file. Export depencies from poetry's `pyproject.toml` file with: | |
| ```shell | |
| poetry export -f requirements.txt --output requirements.txt --without-hashes | |
| ``` | |
| ## Acknowledgements | |
| This project builds on the attention visualization introduced and developed in | |
| https://github.com/salesforce/provis#provis-attention-visualizer | |