Skip to content

Latest commit

 

History

History
42 lines (24 loc) · 1.63 KB

README.md

File metadata and controls

42 lines (24 loc) · 1.63 KB
Raw

Angular AI: WebNN using Transformers.js

Offline-ready, privacy-first application that leverages the most suitable hardware available on the edge to run AI workloads.

Logo

Features

  • Feature detection: WebGPU, WebNN, NPU
  • Running AI inference in the worker thread, off the main thread
  • Installable, offline-ready PWA
  • Multiple use cases: image classification, sentiment analysis, and more

Technologies used

  • Angular 18 + Angular Material 3
  • Workbox: offline-readiness, precaching, runtime caching, smart update flow
  • Transformers.js: AI pipelines, models caching. Using ONNX Web Runtime and WebNN, WebGPU under the hood

Development server

Run ng serve for a dev server. Navigate to http://localhost:4200/. The application 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.

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 a platform of your choice. To use this command, you need to first add a package that implements end-to-end testing capabilities.

Further help

To get more help on the Angular CLI use ng help or go check out the Angular CLI Overview and Command Reference page.