streamlit-bubble-chat 0.2.0

A floating chat bubble component for Streamlit apps

Streamlit Bubble Chat

Floating chat bubble UI for Streamlit apps.
Add a persistent chat window with unread badges, system messages, and optional agent avatars.

Source · Contributing

streamlit-bubble-chat is a drop-in component for adding a floating chat window to a Streamlit app. It works well for support flows, assistant side panels, and multi-agent demos where you want the chat UI available without rearranging the rest of the page.

Installation

uv add streamlit-bubble-chat

Or with pip:

pip install streamlit-bubble-chat

Quick start

import streamlit as st

from streamlit_bubble_chat import bubble_chat


if "messages" not in st.session_state:
    st.session_state.messages = [
        {"role": "assistant", "content": "Hello. How can I help?"},
    ]


def handle_message() -> None:
    text = st.session_state.support_chat.new_message
    if not text:
        return

    st.session_state.messages.append({"role": "user", "content": text})
    st.session_state.messages.append(
        {"role": "assistant", "content": f"Echo: {text}"}
    )


bubble_chat(
    messages=st.session_state.messages,
    key="support_chat",
    on_message=handle_message,
)

Core arguments

bubble_chat(
    messages,
    *,
    type="simple",
    unread_count=0,
    play_sound_on_unread=False,
    window_title="Chat",
    theme_color=None,
    assistant_config=None,
    name_colors=None,
    key=None,
    on_message=None,
)

Each message is a dictionary with role, content, and an optional name:

{"role": "assistant", "content": "Hello", "name": "Guide"}

Inside on_message, read the submitted text from st.session_state[key].new_message. The component also stores is_open and is_maximized in the same session-state entry.

All color parameters (theme_color, user_icon_bg, values in assistant_config and name_colors) must be #RRGGBB hex strings — invalid values raise ValueError.

Documentation

• API Reference — full parameter docs, message schema, assistant config, limitations.
• Architecture — design decisions, state sync, frontend modules.
• Customization — theming, avatars, colors, dark mode, CSS classes.

What you get

• Floating chat bubble anchored to the bottom-right corner.
• simple mode for a clean message list.
• avatar mode for named assistants with emoji or :material/...: icons.
• Unread badges and an unread divider when new messages arrive.
• Optional sound notification when a new assistant message arrives while the chat is closed.
• System messages rendered as centered pills.
• Theme-aware styling plus optional color overrides.
• User and assistant avatar customization.

Examples

Example	What it shows	Command
examples/base_chat.py	Simple mode, unread badges, system messages, name colors	uv run streamlit run examples/base_chat.py
examples/avatar_chat.py	Avatar mode, multiple assistants, Material icons, custom avatar colors	uv run streamlit run examples/avatar_chat.py

If you need fresh frontend assets first:

make build-frontend

Limitations

• Single instance per page — only one bubble_chat() per Streamlit page. Multiple calls share the same DOM.
• Text only — message content is plain text. No markdown, HTML, or media rendering.
• Material Icons need internet — :material/…: icons load from Google Fonts CDN. Emoji icons work offline.

Development

make setup
make check
make test
make build

make setup installs Python dependencies with uv, frontend dependencies with npm ci, and the configured git hooks with prek.

Contributing

Contribution guidelines live in CONTRIBUTING.md.

Disclaimer

This project was built primarily with AI assistance. If you spot artifacts, inconsistencies, or things that don't make sense, please open an issue.

License

Released under the MIT License.