This repository contains the narrative web app portion of the Critical Machine Learning (CML) project.
This project is being developed by the IDEA (Inclusive Digital Education and Analytics) Lab at Clemson University.
The narrative portion of this application is built using Svelte (and implementing SvelteKit). The project is built using a combination of Svelte and Typescript, however regular Javascript can be used. It also uses Tailwind CSS to handle styling.
To run this application locally, you will need to have the following installed on your machine:
Once Git is installed, you will need to clone this repository on your machine.
Using the Terminal, or Command Prompt, navigate to the desired directory in which you would like to clone the repository. Run the following command:
git clone https://github.com/IDEA-Lab-Clemson-University/cml-narrative
This will create a new folder in your current working directory called cml-narrative
. Navigate into it by running cd cml-narrative
Once in the cml-narrative
directory AND Node and npm are installed, run the command cd application
to enter the directory in which the actual application lives. Once there, run npm install
to install the required dependencies. This may take a while if it is the first time running.
Once you have installed the dependencies, you can run npm run dev
to start the development server. You should receive a message in the terminal once the server is up and running. You can then navigate to http://localhost:5173 in your browser to access the application.
When you are ready to close the application, you can CTRL+C
in the terminal to stop the server. You can also just close the terminal window.
Those who wish to contribute to this project can do so in multiple ways
If you spot an issue while using/demoing the application, please create a new GitHub Issue describing the issue, where it was found, and what the expected behavior should be.
If you would like to contribute code to this repository, please create a fork and branch from the development branch and submit a pull request.
To keep contributions clear, it is recommended to install psioniq File Header as an extension to VSCode. This will automatically add a comment to the top of any file you create with relevant information about the contributor. You should then go into /.vscode/settings.json
and configure the psi-header.config
object to represent your name, email and affiliation.
The main application lives in the application
directory.
demo
directory contains the preliminary project (and uses an old version of SvelteKit) hosing various demos and proof of concepts. It will be deleted soon.
This project will be split into different branches. This is a feature of git
that will allow us to work on different features of this application without messing each other up.
The repository will consist of a main
branch and a development
branch. The main
branch is reserved for final commits. Think of this branch being "production ready," (what the user will interact with). Everything here should be tested and working.
The development
branch should be the branch you are developing in. However, if you decide to work on a new feature, it would be better to create a new branch from the development
branch and then submit a pull request to merge your changes to the development
branch which can then be merged to the main
branch.
An example project stucture could look like:
.
`-- main/
`-- development/
|-- feature a/
| `-- quick fix to feature a
`-- feature b
Pull requests can be made by visiting this projects repository on GitHub.
I would recommend using VSCode to develop. This is a free application that is highly extensible.
Additional setup will be documented in another README.