QA Classifier

Setting Up the Project

Backend
- Create a conda environment for the backend dependencies and activate
- Install dependencies using the environment.yml file found within the repository
- Create a MongoDB account and AWS account
- Configure the AWS S3 bucket access and Google Cloud access in the console and replace authentication strings (*note: must use the same database and collection names)
  - app.py for MongoDB
  - auto.py for Google Cloud
- Configure export FLASK_APP=app.py
Frontend
- Install node.js and npm
- Install Angular CLI and Angular Material
Run flask run for the backend and ng serve in the frontend to test if the application has installed correctly.

Name		Name	Last commit message	Last commit date
Latest commit History 179 Commits
.idea		.idea
backend		backend
frontend		frontend
.gitignore		.gitignore
README.md		README.md
project-test.txt		project-test.txt