https://github.com/jasonjmcghee/vlearn
With a few words and a click of a button, quickly get an engaging, high quality video. (And optionally save and share it!)
https://github.com/jasonjmcghee/vlearn
Last synced: 6 months ago
JSON representation
With a few words and a click of a button, quickly get an engaging, high quality video. (And optionally save and share it!)
- Host: GitHub
- URL: https://github.com/jasonjmcghee/vlearn
- Owner: jasonjmcghee
- License: mit
- Created: 2024-01-08T03:05:16.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-07-17T14:44:32.000Z (11 months ago)
- Last Synced: 2024-11-22T04:03:55.208Z (7 months ago)
- Language: CSS
- Homepage: https://vlearn.ing/
- Size: 11.3 MB
- Stars: 17
- Watchers: 2
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# On-Demand Education
With a few words and a click of a button, quickly get an engaging, high quality video.
(And optionally save and share it!)
Try it here, right now! [https://vlearn.ing](https://vlearn.ing)
Running it:
- Clone the repo
- Open `index.html` in a browser
Demo:
Example Video:
https://github.com/jasonjmcghee/vlearn/assets/1522149/149cba89-85a1-4667-9644-c9bae52fe287
The kind of thing you might find on youtube.
There's a huge amount left to explore here.
I really want to push this closer to **personalized education**,
which might be possible through the use of another project which
helps you "remember" (i.e. keep a record of) everything you see
on your computer - called [rem](https://github.com/jasonjmcghee/rem).
And / or other mechanisms to keep a record of all of your knowledge
via an embedding space that an LLM can perform RAG on.
------------------------------------
Contributions welcome!
Things I'd love to add:
- [ ] Local model support (mistral + XTTSv2)
- [ ] Settings to choose models (3.5 / 4 / local, hd vs not)
- [ ] Animations?