50 Build a Streaming LLM Chat UI in Python (Async httpx Token Streaming) PYTH 10.6
Автор: Oppkey
Загружено: 2025-12-26
Просмотров: 8
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
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке:
