Available Scripts

In the project directory, you can run:

Assumes you have yarn, npm & pip installed

yarn start

Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.

The page will reload if you make edits.
You will also see any lint errors in the console.

Note: If you get a warning about run-p not being found Run npm i npm-run-all

Required npm installs:

npm install react
npm install react-router-dom
npm install d3
npm install socket.io-client
npm install react-dom

yarn test

Launches the test runner in the interactive watch mode.
See the section about running tests for more information.

yarn build

Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.

The build is minified and the filenames include the hashes.
Your app is ready to be deployed!

See the section about deployment for more information.

yarn eject

Note: this is a one-way operation. Once you eject, you can’t go back!

If you aren’t satisfied with the build tool and configuration choices, you can eject at any time. This command will remove the single build dependency from your project.

Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except eject will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.

You don’t have to ever use eject. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.

yarn start-api

Assumes python3 installed

Full list of commands (UNIX-BASED OS)

cd api
python3 -m venv venv
source venv/bin/activate

(Windows)

cd api
python -m venv venv
venv\Scripts\activate

(Instructions shared across OS):

pip install flask python-dotenv
pip install numpy
pip install flask-cors
pip install mne
pip install matplotlib
pip install tensorflow
pip install flask_socketio
pip install sklearn

Simulates a local version of the backend. Run this in another terminal window while running the front-end or the api calls won't work.