Javascript Fatigue: HTMX Is All You Need to Build ChatGPT — Part 2

This tutorial extends a chatbot application by implementing real-time streaming to enhance the user experience. It details how to transition from synchronous to asynchronous communication using Server-Side Events (SSE) and a FastAPI backend. The backend architecture relies on session-based asyncio.Queue to manage concurrent users and prevent race conditions. The provided Python code demonstrates how to create endpoints that receive user queries and stream back a simulated, token-by-token LLM response.