# download repository and cd into it
conda env create --prefix=./venv --file=./environment.yml
conda activate ./venv/
cd doctorsite/frontend
npm install
npm run build
cd ../../
python doctorsite/manage.py migrate
python doctorsite/manage.py createsuperuser
python doctorsite/manage.py collectstatic
# Train the model on the training dataset
python doctorsite/doctorapp/algorithm/train_model.py doctorsite/doctorapp/algorithm/pickles/full_training_set_v2_includes_all_rounds_supplemented_with_modified_regimens_from_harvesting_rounds_to_exclude_three_drugs.csv doctorsite/doctorapp/algorithm/pickles/model.pkl
python doctorsite/manage.py runserver
# browse to localhost:8000/admin to add doctors, doctors are linked to patients using the assoc_doctors field in the json file and matching it to the doctor id used in hte admin panel
# browse to localhost:8000/ to login using either the admin account created, or a newly created doctor to see tha patients and run the treatment recommenderThis is a dummy example to showcase the webapp and the treatment recommender, but it contains no real patient data, and should be connected to a real database before use.