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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.


Twitter thread by the journalist who confirmed details with the victims in the sample: https://twitter.com/_KarenHao/status/1543949945614393344


Just updated the link again - much faster now (inference down to 0.5s from 9s) Queue will move a lot quicker now.


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].

[0]: https://github.com/gradio-app/gradio [1]: https://huggingface.co/spaces [2]: http://www.cvlibs.net/publications/Sauer2021NEURIPS.pdf [3]: https://github.com/autonomousvision/projected_gan


The examples aren't displaying for me.


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?


I see the numbers, but nothing appears when they're selected. If I generate a fresh one it shows up fine. iOS.


Thank you Nils! We were very fortunate to work with you and all of the awesome people at Pear!


We posted gradio as a Show HN mid 2020 [1] :) Got a lot of good feedback and have been slowly growing ever since!

[1]: https://news.ycombinator.com/item?id=23901834


Particularly, one of the most useful feedback we heard early on was adding support for rendering the GUI in jupyter/colab notebooks. Extremely common use case (that also allowed us to distinguish ourselves from some competitors)


Sorry we had to restart the interface - can you try again?


Sorry, we had to restart the interface for a separate issue. Please try again


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