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.

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.