50 Build a Streaming LLM Chat UI in Python (Async httpx Token Streaming) PYTH 10.6 скачать в хорошем качестве

50 Build a Streaming LLM Chat UI in Python (Async httpx Token Streaming) PYTH 10.6

All the code used in this video is free and downloadable at https://industry-python.thinkific.com - Free registration required. This video walks step-by-step through adding streaming token support to a Python LLM application. Instead of waiting several seconds for a full response, we stream tokens live from the LLM and render them incrementally in the UI. Along the way, we refactor the app to be fully asynchronous. Topics covered include: Why httpx replaces requests for modern async apps Converting synchronous handlers to async functions Streaming POST requests with httpx.AsyncClient Processing aiter_lines() from an LLM API Incrementally updating UI text as tokens arrive Managing UI state during streaming (disable/enable inputs) Cleaning up partial UI state on errors This is a practical, real-world pattern for anyone building Python-based LLM tools, chat interfaces, or AI-driven applications where responsiveness matters