python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

streamlit run LipidCompass_Submission_Editor.py

You can use the Brain Lipidome XLSX file for testing:

https://github.com/lifs-tools/lipidcompass-submissions/blob/master/submissions/LCE00000014/data/brain_lipidome.xlsx

In the same directory, you will find a python code base that was used to combine the inidividual tables into the final mzTab-m file. Not all of that has been implemented here yet.

Since Streamlit reevaluates the whole script from top to bottom on every change (here: one page=one script), we need to use the session state to store objects. Long running or resource intensive methods may be cached, so that they are only run once. We use the @functools.cache annotation on those methods.

pip install streamlit ebi-ols-client