Skip to main content

A custom chat input widget for Streamlit based on Mohammed Bahageel's Chat Input Widget project

Project description

Streamlit Chat Widget

Streamlit Chat Widget

The streamlit_chat_widget is a custom chat input component designed for Streamlit applications, allowing users to send text and audio messages seamlessly. This widget can be integrated into Streamlit apps, making it ideal for building conversational AI interfaces, voice assistants, or any chat-based applications the component was developed by Mohammed Bahageel artificial Intelligence developer.

Features

  • Text Input: Users can type text messages and send them.
  • Audio Recording: Built-in microphone functionality to capture audio messages.
  • Fixed Positioning: The widget remains fixed at the bottom of the Streamlit app, similar to Streamlit's st.chat_input.

Installation

Install the package directly from PyPI:

pip install streamlit-chat-widget

Setup

Step 1: Import and Initialize the Component

To use the component, import it into your Streamlit app. The widget will display at the bottom of the screen by default.

Step 2: Set Up the Frontend Component

If you want to modify or rebuild the React component, you can find the source code in the frontend directory.

  1. Navigate to the frontend folder:
    cd streamlit_chat_widget/frontend
    
  2. Install dependencies:
    npm install
    
  3. Build the frontend:
    npm run build
    
  4. Run the component locally (for development):
    npm start
    

Step 3: Publish the Package

pip install twine setuptools
python setup.py sdist bdist_wheel
twine upload dist/*

Usage

Here’s a sample code to get you started with streamlit_chat_widget:

import streamlit as st
from streamlit_chat_widget import chat_input_widget

def main():
    st.title("My Custom Chat Application")
    
    # Initialize chat history in Streamlit session state
    if "chat_history" not in st.session_state:
        st.session_state.chat_history = []

    # Display the chat history
    for message in st.session_state.chat_history:
        st.write(message)

    # Display the chat input widget at the bottom
    user_input = chat_input_widget()

    # Process the user's input from the widget
     if user_input:
        if "text" in user_input:
            user_text =user_input["text"]
            st.session_state.chat_history.append(f"You: {user_text}")
        elif "audioFile" in user_input:
            audio_bytes = bytes(user_input["audioFile"])
            st.audio(audio_bytes)

if __name__ == "__main__":
    main()

Example

To create a simple app with the chat widget:

import streamlit as st
from streamlit_chat_widget import chat_input_widget
from streamlit_extras.bottom_container import bottom #pip install streamlit_extras

def main():
    st.title("My Custom Chat Application")
    
    # Initialize chat history in Streamlit session state
    if "chat_history" not in st.session_state:
        st.session_state.chat_history = []

    # Display the chat history
    for message in st.session_state.chat_history:
        st.write(message)

    # Display the chat input widget at the bottom
    with bottom():
        user_input = chat_input_widget()

    # Process the user's input from the widget
    if user_input:
        if "text" in user_input:
            user_text =user_input["text"]
            st.session_state.chat_history.append(f"You: {user_text}")
        elif "audioFile" in user_input:
            audio_bytes = bytes(user_input["audioFile"])
            st.audio(audio_bytes)

if __name__ == "__main__":
    main()

CSS Customization

To style the widget or customize its appearance, add custom CSS in your Streamlit app. Here’s a basic example:

st.markdown("""
<style>
.chat-container {
    position: fixed;
    bottom: 0;
    width: 100%;
    max-width: 600px;
    margin: 0 auto;
}
</style>
""", unsafe_allow_html=True)
 

Additional Customization:

To postion the chat input widget in a fixed postion at the bottom of streamlit application use streamlit floating containers

import streamlit as st
from streamlit_float import *
from streamlit_chat_widget import chat_input_widget

def app():  
    float_init()
    footer_container = st.container()
    with footer_container:
        user_input = chat_input_widget()
    footer_container.float(
        "display:flex; align-items:center;justify-content:center; overflow:hidden visible;flex-direction:column; position:fixed;bottom:15px;"
    )
    
if __name__ == "__main__":
    app()

License

This project is licensed under the MIT License. See the LICENSE file for more information.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

streamlit_chat_widget_tiangong-0.0.3.tar.gz (788.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

streamlit_chat_widget_tiangong-0.0.3-py3-none-any.whl (795.3 kB view details)

Uploaded Python 3

File details

Details for the file streamlit_chat_widget_tiangong-0.0.3.tar.gz.

File metadata

File hashes

Hashes for streamlit_chat_widget_tiangong-0.0.3.tar.gz
Algorithm Hash digest
SHA256 ffc7aeebedaa3232197e6b2259e3b87584d4b4c03add5493f41717b02b018f43
MD5 5028f307106d6d69bbef10183e7f30da
BLAKE2b-256 24ac15ef4f122bcc4f10dbe6dcc13925f04698d0bd1d2280ba5cfa235e3e1942

See more details on using hashes here.

File details

Details for the file streamlit_chat_widget_tiangong-0.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_chat_widget_tiangong-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 4963f79e41ced658f3e07514b420b6a8faafddc86b21012801f8bceffa452f89
MD5 d6581056ae32f63277f48af0bb20dabe
BLAKE2b-256 614880fd6a3ce78c236ed37b1c50589387803b944d29692d8486500f26cdf3be

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page