https://github.com/whitphx/streamlit-video-chat-example

Video chat apps with computer vision filters built on top of Streamlit
https://github.com/whitphx/streamlit-video-chat-example

streamlit video-processing video-streaming webrtc

Last synced: 28 days ago
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Video chat apps with computer vision filters built on top of Streamlit

• Host: GitHub
• URL: https://github.com/whitphx/streamlit-video-chat-example
• Owner: whitphx
• License: mit
• Created: 2021-07-16T13:28:51.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-05-11T06:01:26.000Z (over 1 year ago)
• Last Synced: 2024-12-29T07:00:47.568Z (about 1 month ago)
• Topics: streamlit, video-processing, video-streaming, webrtc
• Language: Python
• Homepage: https://discuss.streamlit.io/t/a-video-chat-app-with-realtime-snapchat-like-filters/15324
• Size: 234 KB
• Stars: 44
• Watchers: 3
• Forks: 11
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# streamlit-video-chat-example

Video chat examples based on Streamlit with [`streamlit-webrtc`](https://github.com/whitphx/streamlit-webrtc) and [`streamlit-server-state`](https://github.com/whitphx/streamlit-server-state).

[![Tests](https://github.com/whitphx/streamlit-video-chat-example/actions/workflows/tests.yml/badge.svg?branch=main)](https://github.com/whitphx/streamlit-video-chat-example/actions/workflows/tests.yml?query=branch%3Amain)

[![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/D1D2ERWFG)



[![GitHub Sponsors](https://img.shields.io/github/sponsors/whitphx?label=Sponsor%20me%20on%20GitHub%20Sponsors&style=social)](https://github.com/sponsors/whitphx)

![](./docs/img/example.jpg)

## Try it out

```shell

$ pip install streamlit streamlit-webrtc streamlit-server-state opencv-python-headless

$ streamlit run https://raw.githubusercontent.com/whitphx/streamlit-video-chat-example/main/app_mcu_filters.py

```

This repository contains various implementations (`app_*.py`) while the example above uses `app_mcu_filters.py`.