531a428eff
* Add frontend for the Tensorboard Web-app This commit contains the code for the frontend of the Tensorboard web-app. It completes the GSoC 2020 project for building the standalone TWA for Kubeflow. The app is not yet fully integrated to the Kubeflow dashboard, so the README.md file contains documentation on how to build, run and use the web-app locally. Also, a Dockerfile was added in order to build a playground image of the web-app. The 'deploy' folder contains manifests that will enable the TWA to properlly run on the cluster in the future. * Update README.md |
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README.md
Frontend
This project was generated with Angular CLI version 8.3.20.
Development server
Run ng serve for a dev server. Navigate to http://localhost:4200/. The app will automatically reload if you change any of the source files.
Code scaffolding
Run ng generate component component-name to generate a new component. You can also use ng generate directive|pipe|service|class|guard|interface|enum|module.
Build
Run ng build to build the project. The build artifacts will be stored in the dist/ directory. Use the --prod flag for a production build.
Running unit tests
Run ng test to execute the unit tests via Karma.
Running end-to-end tests
Run ng e2e to execute the end-to-end tests via Protractor.
Further help
To get more help on the Angular CLI use ng help or go check out the Angular CLI README.