jinglebells VS ata

I’m obligated to pick up a new bioinformatics DSL and have been asking GPT4 to translate my current code (bash, go, python) into this language. It is not perfect but it gets me close to what I need, with some editing.

Sometimes I ask it to make music: https://github.com/carbocation/jinglebells

> My main gripe with it though is that the actual interface is quite limited, and I don't like having to navigate to the site every time I want to use it.

https://github.com/rikhuijzer/ata. Written in Rust. Does streaming responses and supports Emacs keyboard shortcuts. That's it. All that's needed for quickly looking up things.

- Checkout definitions. I have a small tool (https://github.com/rikhuijzer/ata) available on a keyboard shortcut and use it to quickly checkout definitions for words when I come across a word that I don't know.

As a little side-note, it actually involved some hacking to get the output printing correct because it appeared that the API sometimes responds denotes a newline by two tokens (["\", "n"]) and sometimes by one token (["\n"]). In the playground (https://platform.openai.com/playground), they convert the two token version to a single token, so that's what ata does too (details in https://github.com/rikhuijzer/ata/pull/6). My guess is that this is basically a bug in the model which they manually fixed in the Playground and ChatGPT front ends.

ChatGPT made my work more productive, but I was having a bit of a struggle with the browser, timeouts and slow responses, and the lack of keyboard shortcuts. That's why I made a terminal application: https://github.com/rikhuijzer/ata. You can download it for free in the releases section or build it yourself from source. I'm using it daily and hope it is useful for people here too