Build Python Web Apps with Streamlit

Part 3 Streamlit and LLMs

This part is where Streamlit meets AI. Large Language Models (LLMs) are redefining what you can do with a little programming knowledge, and Streamlit is one of the easiest ways to bring them to life.

In chapter 9, you’ll build Fact Frenzy, an AI-powered trivia game that generates questions, judges answers, and keeps score, all in real time. You’ll learn to prompt LLMs effectively, manage app state across turns, and even inject AI personalities. In chapter 10, you’ll level up with Nibby, a customer support chatbot that combines LangGraph, Retrieval-Augmented Generation (RAG), and the ReAct agentic model, to simulate deep, domain-aware conversations—and even take actions in the real world.

These chapters are fast-paced, ...