[anotherpaul]

Great idea indeed. The documentation needs a bit more information to be useful. What GPU backends are supported for example? How do I delete the embedding information after I decide to uninstall it? Will give it a try though.

[perone]

Thanks, I'm working on implementing the commands to clean the embeddings (you can now do that with Linux xattr command-line tool). I'm supporting CPU or GPU (NVIDIA) for the encoders and it only supports Linux at the moment.

[3abiton]

I am curious why Python, and not rust for example?

[danudey]

Not OP, but despite working in an all-Go shop I just wrote a utility in Python the other week and caught some flak for it.

The reason I gave (which was accepted) was that the process of creating a proof of concept and iterating on it rapidly is vastly easier in Python (for me) than it is in Go. In essence, it would have taken me at least a week, possibly more, to write the program I ended up with in Golang, but it only took me a day to write it in Python, and, now that I understand the problem and have a working (production-ready) prototype, it would probably only take me another day to rewrite it in Golang.

Also, a large chunk of the functionality in this Python script seems to be libraries - pillow for image processing, but also pytorch and related vision/audio/codec libraries. Even if similar production-ready Rust crates are available (I'm not sure if they are), this kind of thing is something Python excels at and which these modules are already optimized for. Most of the "work" happening here isn't happening in Python, by and large.

[hadlock]

Sure, but now your all-go shop now needs to support two languages, two sets of linters, ci/cd etc for a single utility. It might be faster for you but if the utility is going to be used for more than a couple of weeks now it's a real hassle to get a go developer to make sure they have the right version of the interpeter, remember all the ins and outs of python etc.

[perone]

Hi, I think Rust won't bring much benefit here to be honest, the bottleneck is mainly the model and model loading. It would probably be a nightmare to load these models from Rust, I would have to use torch bindings and then convert everything from the preprocessing already in Python to Rust.