demo.webm
Generative AI is changing the way we interact with technology. As AI chatbots become more commonplace, users expect certain behaviors from our apps, such as realtime text updates. Using LLM APIs, Signals, and some RxJS magic, we can create modern AI-driven user experiences.
Note
The Gemini API is free, so long as you're willing to share all of your usage data with Google.
-
Run
git clone https://github.com/c-o-l-i-n/ng-generative-ai-demo.gitto clone this repo. -
Visit the Google AI Studio to generate an API key.
-
Create a
.envfile in the project root with your API key:GOOGLE_AI_STUDIO_API_KEY=paste-api-key-here -
Run
npm installto install dependencies. -
Run
npm run serverto start the backend server (server.ts) on port 3000. -
In another terminal, run
npm startto start the Angular dev server on port 4200. -
Navigate to
http://localhost:4200/
-
Manage State with Signals: Keep track of the chat state (list of messages and whether the LLM is generating a new message) with Angular Signals.
-
Realtime Text Streaming with RxJS Observables: Utilize RxJS to react to realtime updates from the LLM API.
-
HTTP Client Configuration: Configure the Angular HTTP client to handle realtime text streams:
- Provide the HTTP client "with fetch" in
app.config.ts:
provideHttpClient(withFetch());
- Tell the HTTP client to observe text events and report progress:
this.http.post('http://localhost:3000/message', prompt, { responseType: 'text', observe: 'events', reportProgress: true, });
- Provide the HTTP client "with fetch" in
-
Blinking Cursor: Create a blinking cursor effect using the CSS
::afterpseudo-element and CSS@keyframes:.message { &.generating { &::after { content: 'β'; animation: fade-cursor ease-in-out 500ms infinite alternate; } } } @keyframes fade-cursor { from { opacity: 25%; } to { opacity: 100%; } }