SteamlabsCA/predict-a-pie

Predict-a-Pie

What makes a pie taste the best? What if you had all the ingredients in the world to come up with the perfect pie? In this workshop, you will wire up a neural network to do just that! You will then use your new knowledge to test a larger neural network that has used “machine learning” to analyse thousands of recipes to come up with new, creative combinations.

Getting Started

Predict-a-pie is written in JavaScript and requires Node.js. If you do not already have Node.js installed in your environment, you may download it from https://nodejs.org/.

npm install

Will install the required dependencies.

npm run build

Builds the app for production to the build folder.

npm start

Starts the app! Open http://localhost:8080 to view the app in the browser.

Development

npm run dev

Runs the app in the development mode. Changes to the code are automatically compiled, speeding development. Open http://localhost:3000 to view the app in the browser.

node src/server.js

Will start the server side component allowing the client side to create and join classrooms. You will however need to temporarily change the websocket address used by the client side app, as the app and development server must listen on different ports. This is achieved by editing line 25 of App.js.

const socket = socketClient("http://127.0.0.1:8080");

AWS accounts

There is only one AWS account for both staging and production, and there is only one EC2 instance and Elastic Beanstalk environment which are for the production site.

The auto deployment for the production site works by pushing changes on main branch. However, the auto deployment for the staging site doesn't work.