https://github.com/innerdoc/nlp-history-timeline

A Streamlit app for showing a TimelineJS about the history of Natural Language Processing
https://github.com/innerdoc/nlp-history-timeline

streamlit streamlit-webapp timeline timelinejs

Last synced: about 2 months ago
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A Streamlit app for showing a TimelineJS about the history of Natural Language Processing

• Host: GitHub
• URL: https://github.com/innerdoc/nlp-history-timeline
• Owner: innerdoc
• License: mit
• Created: 2021-02-04T15:40:31.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2023-11-19T16:08:49.000Z (about 1 year ago)
• Last Synced: 2023-11-20T16:41:47.612Z (about 1 year ago)
• Topics: streamlit, streamlit-webapp, timeline, timelinejs
• Language: CSS
• Homepage: https://www.innerdoc.com
• Size: 946 KB
• Stars: 19
• Watchers: 1
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Natural Language Processing - A Historical Timeline

[![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://www.innerdoc.com/nlp-timeline-demo/) [![Twitter](https://img.shields.io/twitter/url/https/twitter.com/cloudposse.svg?style=social&label=Follow%20%40innerdoc)](https://twitter.com/innerdoc_nlp)

## About

This demo is created to show the integration of [Streamlit](https://streamlit.io) with [TimelineJS](http://timeline.knightlab.com/). It became a demo timeline about the history of Natural Language Processing!

🔥 There is now also a reusable [Streamlit Timeline component](https://github.com/innerdoc/streamlit-timeline)!

## The result

[Open the demo app!](https://www.innerdoc.com/nlp-timeline-demo/)

Below an example of the demo. In this case: a History for Natural Language Processing!

![alt text](demo-timeline.png "An example of the timeline with events for the history of Natural Language Processing!")

You can also view the json-data.

![alt text](demo-data.png "An example of the timeline data.")

## Install and run

```

cd nlp-history-timeline

pip install -r requirements.txt

streamlit run timeline_app.py

```