D.D.I detective backend API.

This repository contains the code for D.D.I. detective, a web application that utilizes machine learning models(XGBoost), to predict the interaction between two drugs, given their SMILES strings as input

Installation

• clone the repo https://github.com/valentina-buoro/Drug-Interaction-Backend.git
• go into the folder cd Drug-Interaction-Backend
• create a virtual python environment, mac python3 -m venv .venv. Windows py -3 -m venv .venv
• activate the virtual python environment. Mac . .venv/bin/activate. Windows .venv\Scripts\activate
• install the dependencies pip install -r requirements.txt
• run the application flask --app flaskr run --debug