Add SA score to /score (one endpoint returns SA + RAScore + SCScore)

Add SCScore (Coley) alongside RAScore

Add SCScore (Coley) alongside RAScore

Fetch RAScore XGB model.pkl into the package (pip omits it)

Log RAScore exception traceback for diagnosis

Add pip to the ra conda env (env had no pip, so absolute pip path 404'd)

Run under the ra env (absolute paths + PATH) so py3.7/pydantic load correctly

Install scikit-learn/xgboost via conda (avoid pip source build)

Add README.md

Add app.py

Add Dockerfile

initial commit