event-stream VS gradio

Another possible outcome of "I gave commit rights to someone I didn't know": https://github.com/dominictarr/event-stream/issues/116

Whole npm ecosystem is so fragile.

Remember event-stream[1]? Did we learned something from that? Yes, we might. So was it improved? Never. People are still installing 'new' colors package and wondering why its texts are broken.

What if he uploaded malicious code rather than just just gibberish?

[1]: https://github.com/dominictarr/event-stream/issues/116

foo-bar version 1.0 depends on bada-boom 1.0 which depends on bada-bing 1.0. Now you update to foo-bar 1.1 because of some critical update, which in itself now depends on bada-boom 2.0 and bada-bing 2.0. But unbeknownst to you and the author of foo-bar, the bada-boom and bada-bing project was taken over by another maintainer who made an update, but also added some trojan horse code to specifically attack certain users, which was obfuscated and remained undetected. Which has happened before - not just browser extensions are affected by malicious attackers taking over useful projects.

gradio is a package developed to ease the development of app interfaces in python and other languages (GitHub)

There's also that library all the AI models started using that gives you a public URL to share. After researching it: https://www.gradio.app/ is the link.

It's used specifically for making simple UIs for machine learning apps. But I guess technically you could use it for anything.

What is the business model for https://www.taipy.io/, https://streamlit.io/, or https://www.gradio.app/? These are nice tools - but how will the sponsoring businesses support themselves? I didn't see any mention of enterprise plans, etc. Is the answer simply that "we've not announced our revenue model yet"? What should one expect?

Repo : https://github.com/gradio-app/gradio

There's TensorFlow.js for running machine learning on JavaScript, but personally, I'd prefer using the Python Gradio package, which is designed for creating UIs for machine learning inference demos.

I found an issue on gradio github but looks like it's closed so I am not sure if it's still a common issue or only I am facing it due to certain settings/absence of a fix. ( https://github.com/gradio-app/gradio/issues/3060 )

I disagree hard with this – for instance I've recently needed to dig into the code for the Gradio library, and when PRs are like https://github.com/gradio-app/gradio/pull/3300 (and the merge commit's message is what it is) it's hard to understand why some decisions have been made when doing `git annotate` later on.

Gradio for a ui that your commanderGPT can visit and use

gradio is documented, it doesn't seem very complex, it would be something like moving this block under the other one. i think it's ui_extra_networks.py, the file you are looking to edit. (if you do it make a copy to restore when you go to update)

Gradio did have an issue for a while where your URL was guessable, so unless you had a password it was pretty easy to find, but as far as I know they've increased the complexity so much that it's no longer an issue.