OpenChatKit VS textual

ChatGPT isn't open sourced so we don't know what the actual implementation is. I think you can read Open Assistant's source code for application design. If that is too much, try Open Chat Toolkit's source code for developer tools . If you need very bare implementation, you should go for lucidrains/PaLM-rlhf-pytorch.

For a locally run open source option, I'd recommend taking a look at OpenChatKit. It's built on top of a couple different open source LLMs that have been fine-tuned for use as chatbots. I've only messed around with the online demo a little bit, but from what I've read it is supposed to run on a laptop and be almost as good as ChatGPT 3.5.

OpenChatKit https://github.com/togethercomputer/OpenChatKit

Togethercomputer released openchatkit a few weeks ago. Not tested it but looks promising https://github.com/togethercomputer/OpenChatKit

The Textual project has a lot of screenshots in its documentation. These screenshots are built with the docs, so they are always up to date.

https://textual.textualize.io/

Textual[0] does this for CLI apps. That’s not for full GUI apps, but it’s very DOM-like, uses CSS selectors, etc. and a cool option when it meets your needs.

[0] https://github.com/Textualize/textual

For future projects that need a TUI beyond normal printing to a terminal, I'd recommend taking a look at Textual.

https://jupyterbook.org/en/stable/content/code-outputs.html#...

`less -R` is not the default.

FWIW, textual (and urwid) does ANSII escape codes well: https://github.com/Textualize/textual

  touch file$'\n'name

After installing logmerger, you can run a self-contained demo by running logmerger --demo, to view two log files before and after they are merged, and to play with the user-interface features provided by textual.

I think it just survived naturally, filling in the cracks left by Java / C++.

And not the era of Textual (https://textual.textualize.io/) is here, python may get the spotlight even more.