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Deployment Guide: ML Toolkit

Backend:

  1. Clone repository:
https://github.com/bhavinjawade/ChemML_Web_UI
  1. Activating environment and setting up flask API. The api code package requirements are written in requirements.txt
conda activate ./anaconda3/envs/my_chemml_env
cd server
cd api
pip3 install -r requirements.txt
  1. Install chemml
cd ..
cd chemml
pip3 install -e .
  1. Start API Server
python api.py &
  1. Setup Celery and MongoDB.

MongoDB is both our application database and celery backend and broker.

Celeryconfig is alreay written in a file called celeryconfig.py. So the next steps are to install mongoDB and install celery and create celery worker process.

If MongoDB and celery are installed, then run:

celery -A celery_task worker --loglevel=info --pool=eventlet &

To install celery:

pip3 install celery

To install mongoDB community via terminal:

wget -qO - https://www.mongodb.org/static/pgp/server-4.4.asc | sudo apt-key add -

echo "deb [ arch=amd64,arm64 ] https://repo.mongodb.org/apt/ubuntu focal/mongodb-org/4.4 multiverse" | sudo tee /etc/apt/sources.list.d/mongodb-org-4.4.list


sudo apt-get update

sudo apt-get install -y mongodb-org

Start mongoDB server:

sudo systemctl start mongod

Frontend

Create production build of angular project.

cd client
cd chemmlAngular
npm install
ng build --prod

This will create the production build in dist folder.

Make sure angular.json baseURL is set to point right url for static files.