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building-streamlit-chat-ui

Build Streamlit chat UIs with st.chat_message, st.chat_input, and st.write_stream.

1|1|Updated Mar 20, 2026
Search Tags:#llm#real-time#streaming#streamlit#ux#chat-ui#chat-input
One-click install
npx skills add https://github.com/Shamrock2245/shamrock-trading-bot --skill building-streamlit-chat-ui-shamrock2245
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: building-streamlit-chat-ui
Source: https://github.com/Shamrock2245/shamrock-trading-bot/tree/main/.agent/skills/developing-with-streamlit/skills/building-streamlit-chat-ui
Command: npx skills add https://github.com/Shamrock2245/shamrock-trading-bot --skill building-streamlit-chat-ui-shamrock2245

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlit chat interfaces make it easy to build interactive, real-time AI conversations with web UI elements like chat messages, inputs, and streaming responses.

Core Features & Use Cases

  • Chat elements: st.chat_message, st.chat_input, and message history to maintain context.
  • Streaming responses: live token streaming with st.write_stream for interactive UX.
  • Rich UX: avatars, suggestion chips, file uploads, and optional audio dictation for multimodal input.
  • Use Case: Build a customer-support chatbot inside a Streamlit app that chats with users and streams responses from an LLM.

Quick Start

Create a Streamlit app that uses st.chat_message and st.chat_input to build a live, streaming chat interface.

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 Streamlit chat UI with real-time streaming responses?▼

You can build a Streamlit chat UI with real-time streaming by using st.chat_message for message history and st.write_stream to render live token streaming for interactive UX.

Can I add file uploads and audio dictation to a Streamlit chatbot interface?▼

Yes, you can add file uploads and optional audio dictation to a Streamlit chatbot interface to support multimodal input alongside st.chat_input for text messages.

How do I maintain message history in a Streamlit chat application?▼

To maintain message history in a Streamlit chat application, use st.chat_message to store and display previous messages, ensuring conversational context is preserved across turns.

Does Streamlit support avatars and suggestion chips for chat interfaces?▼

Streamlit supports avatars and suggestion chips to enhance chat interfaces, providing a richer UX experience for customer support tools and AI chatbots.

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

The best way to create a customer support chatbot inside a Streamlit app is combining st.chat_input for user queries with st.write_stream to stream LLM responses directly.

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