How to Build a ChatGPT-Like Chatbot in Streamlit

Video Description

In this video, you’ll learn how to build and customize a chatbot frontend using Streamlit and Botpress. We’ll cover everything from connecting your bot via the Chat API to handling real-time messages with server-sent events, and even integrating a knowledge base for personalized, informed responses, giving you full control over your chatbot’s behavior and UI. Botpress is a powerful platform that goes beyond this tutorial. More content coming soon covering AI features, integrations, and automation. Resources: • Wine Reviews Dataset → https://www.kaggle.com/datasets/zynicide/wine-reviews • Streamlit LLM App guide → https://docs.streamlit.io/develop/tutorials/chat-and-llm-apps/build-conversational-apps#build-a-chatgpt-like-app • Chat API docs → https://botpress.com/docs/api-reference/chat-api/introduction Try Botpress for free → https://hubs.la/Q01Lf4-J0 🔔 Subscribe for more tips, tutorials, and feature drops. Happy bot building! 🪄 #whatsappchatbot #knowledgebase #Botpress 📣 Stay Connected • LinkedIn → https://hubs.la/Q01Lf6Wm0 • Twitter → https://hubs.la/Q01Lf6Y70 • Discord → https://hubs.la/Q01WYl9R0 *Chapters* 0:00 Step 1: Building a Chatbot 0:57 Step 2: Introducing the Chat API 1:12 Installing the chat integration 1:26 Creating a Python project 2:41 Chat API analysis 3:01 Step 3: Building a Custom API Client 4:15 Creating a user 5:33 Setting environment variables 5:45 Step 4: Creating a Streamlit App 6:59 Creating a conversation 7:36 Creating a client function for messaging 8:07 Showing message history 9:07 Creating a message in the app 9:30 Step 5: Creating a SSE Listener Function 10:35 Testing the SSE listener 11:15 Parsing listener events 12:41 Adding the listener to the app 13:55 Step 6: Rendering Message history 14:52 Adding roles to messages 16:25 Step 7: Customizing the Bot 17:14 Adding data to the Knowledge Base 17:37 Updating the bot's instructions 18:38 Sign-off #streamlit #python #api