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

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