Super cool. Big fan of LLMs for explaining code/helping debug as opposed to autocomplete.
Have you tried playing with the prompt? Curious if something (so silly) like “how would an experienced engineer fix this error: <stacktrace>” make a difference.
They are the numbers at the bottom left of the interface under the 'clear' button. Try clicking them and it will auto fill the input then you just click submit. Or what do you see?
Just rebuilt the app with more examples, so the queue should stay a lot shorter now. This was built using Gradio[0] and is hosted on Spaces[1]. Check out the paper[2] and github repo[3].
Nothing is saved by default. Clicking 'flag' saves the input and output (only accessible to the space owner). More info on flagging: https://gradio.app/getting_started/#flagging
This was built on top of the Pytorch implementation [0] of AnimeGANv2, using gradio [1] and HuggingFace Spaces [2]. See the 100s of examples [3] posted by users.