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building-streamlit-chat-ui

Build Streamlit chat interfaces with st.chat_message and st.chat_input.

224|23|Updated Jan 14, 2026
Search Tags:#llm#streamlit#ui-components#chat-ui#conversational-ui#streaming-responses
One-click install
npx skills add https://github.com/streamlit/agent-skills --skill building-streamlit-chat-ui-streamlit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: building-streamlit-chat-ui
Source: https://github.com/streamlit/agent-skills/tree/main/developing-with-streamlit/skills/building-streamlit-chat-ui
Command: npx skills add https://github.com/streamlit/agent-skills --skill building-streamlit-chat-ui-streamlit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables developers to rapidly implement and customize Streamlit chat interfaces, including message history, streaming responses, avatars, and quick-user prompts, reducing boilerplate and setup time.

Core Features & Use Cases

  • Chat UI primitives: use st.chat_message and st.chat_input to build conversational interfaces with minimal boilerplate.
  • Streaming responses: update the assistant message in real time as tokens arrive.
  • UI niceties: avatars, suggestion chips, and file uploads to enhance user experience.
  • Use Case: Deploy a customer support chatbot or internal AI assistant within a Streamlit app.

Quick Start

Create a Streamlit app that displays a chat interface using st.chat_message and st.chat_input, handles user prompts, and streams assistant replies.

Frequently Asked Questions about building-streamlit-chat-ui

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a chat interface in Streamlit with message history?▼

To build a Streamlit chat interface, use st.chat_message to render conversation history and st.chat_input to capture user prompts, creating an interactive conversational UI with minimal boilerplate.

How do I display streaming responses in a Streamlit chat UI?▼

Streamlit chat interfaces support streaming responses by updating the assistant message in real time as tokens arrive, leveraging streaming write streams to render interactive conversations dynamically.

Can I add avatars and suggestion chips to a Streamlit conversational UI?▼

Yes, Streamlit conversational UIs support UI niceties including avatars, suggestion chips, and file uploads to enhance the user experience within your chat application.

What is the best way to create a customer support chatbot using Streamlit?▼

The best way to create a customer support chatbot in Streamlit is applying st.chat_message and st.chat_input primitives to handle user prompts and stream assistant replies for an internal AI assistant.

Do I need external UI components to handle file attachments in Streamlit chat?▼

No external UI components are required, as Streamlit chat interfaces natively support file uploads and attachments alongside avatars and suggestion chips to enhance conversational user experiences.

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