Build Your Own AI Sentiment Analyzer in Angular! (Gemini API Tutorial) [Video]

Learn how to build a powerful AI-powered sentiment analysis system in this ultimate Angular & Gemini API tutorial! We’ll walk you through creating an Angular library that leverages the Gemini API to analyze text sentiment in real-time.

Link to code repo:
https://github.com/AhsanAyaz/ng-gc-ws

Demo link:
https://ahsanayaz.github.io/ng-gc-ws/

Want to level up your Angular skills? Finally! Get the Angular Cookbook’s latest edition:
https://ng-cookbook.com

We’ll cover:
– Setting up an NX Monorepo workspace
– Creating an Angular library with a dedicated sentiment analysis component
– Using an Angular service to interact with the Gemini API
– Parsing JSON responses and displaying dynamic results
– Adding a cool text input and select menu with DaisyUI components
– Switching between Gemini 1.5 Pro and 1.5 Flash models
– Best practices for environment variables in Angular with ESBuild
– Get the complete code on GitHub and start building your own amazing AI applications today!

Timeline:

00:00 – Intro and project outline
01:20 – Brainstorming the architecture
02:05 – Creating the NX workspace with Angular app
04:20 – Gemini JavaScript SDK
05:00 – ENV setup for using custom NX ESBuild plugin
07:16 – Gemini API Key setup
14:19 – Creating an NX Angular library
17:52 – Creating the Sentiment Analysis Angular component
22:47 – Adding DaisyUI to our Angular app
24:23 – Setting up the textarea & form in the demo app
33:42 – Creating an Angular Service to talk to Gemini API
42:28 – Creating the AI prompt for Gemini API
48:00 – Getting the response in JSON format from Gemini
50:24 – Rendering the sentiment using Sentiment Analyzer component
01:00:24 – Switching Gemini 1.5 Pro & Gemini 1.5 Flash
01:13:58 – Outro & next steps

Follow the socials:
https://github.com/ahsanayaz
https://facebook.com/codewithahsan
https://x.com/codewith_ahsan
https://instagram.com/code.with.ahsan