Building an AI-Powered Chat App: Frontend-Backend Communication Explained | Part 2

Welcome to Part 2 of our series on building a powerful AI-driven chat application! 🚀
In this video, we dive deep into the interaction between the frontend and backend, exploring how requests and responses flow between the UI and the FastAPI server. We'll break down the use of JavaScript, jQuery, and WebSocket-based communication, and I'll guide you through the high-level concepts of REST, comparing it with WebSockets and explaining when and why to use each.
🔧 What You'll Learn:
How the frontend (JavaScript & jQuery) communicates with the backend
WebSocket-based real-time interaction for dynamic and responsive UIs
REST vs WebSockets: Understanding the differences and use cases
Setting up the foundational JS, UI, and FastAPI components to pave the way for AI and LLM integration
💡 Why Watch?:
Understanding the core interaction between the frontend and backend is essential for building a responsive and efficient AI-powered chat application. This video sets the stage for the more advanced AI and LLM topics that we'll cover in the upcoming videos.
👉 Missed Part 1? Watch it here!
• Building an AI-Powered...
👉Watch Full Playlist:
• Building a Real-Time A...
👉 Explore the code on GitHub:
github.com/Tea...
Don't forget to like, subscribe, and hit the notification bell to stay updated with the latest in this series. Your comments and questions are always welcome!
#AIChatApplication
#FrontendDevelopment
#BackendDevelopment
#FastAPI
#WebSockets
#RESTAPI
#JavaScript
#jQuery
#PythonDevelopment
#SoftwareArchitecture

[@ronwiltgen2698]

I like how you have explained the role of JavaScript calling the Fast API server. These are complex topics overall for newer developers but hearing the simple explanations that just make sense is very refreshing! Thank you again.

[@MukulTripathi]

Great to hear!