Amazing! I'd recommend using PaddlePaddle OCR models if you want to make your handwriting conversion local, it's definitely fast enough. Probably faster than the Sonnet call.

I tried the model on your handwriting and it worked great. My handwriting is bad enough that it doesn't work :)

Commercial or FOSS? I've been researching the mobile side and it's very exciting!

Most of my own products are GPLv3 licensed. There are a few with MIT but I may switch to GPLv3. I want to make money with hosting though.

Desktop apps are with Tauri, so they are also web apps if/when I sell hosting.

Sounds great, but if you din't cave to apple/google (eg: graphene, lineage), models are not built-in. Every app needs to ship their own models, and they are not tiny.

Is there a solution for this? I'm currently just making users download onnx models if they want a feature, but it's not smooth UX

There's definitely a much smaller, cleaner kubernetes hiding inside the current monstrosity.

LB, Services, pods, DNS gets you like 99% of the way there

How do you manage to finish things? After a while, for me, the novelty high wears out, and instead it becomes a wall. Some project require something silly, like sending 1 email to be completed, and it becomes an impossible task

I force myself to do one project at a time, and don’t let myself pick up a new project until I’ve finished the current one.

I actually have realised I can’t juggle more than 1 major thing in life at a time.

So I just do work, gym, and 1 project at a time . My life is simple. If I’m doing a oroject, I don’t read books or play games for instance

Haha, this made me chuckle so much. That's basically how it goes for me also. Even asking myself, why don't you just do it, then doing something else, feeling guilty about not sending the mail first.

This captures a lot of how I've been feeling lately. Thanks for sharing

With this approach I managed to get to sub-10ms start (to pid1), if you can accept a few constraints there's plenty of room!

Though my version was only tested on Linux hosts

would be interested to see how you do it, how can I connect with you - emotionally?

Start with booze; always works :)

Have played it a few times, it's really good

Thanks!

Working (again) on an offline translator for Android: https://github.com/davidventura/offline-translator

This week I added TTS support, which needed multiple inference pipelines, it was not easy to find models for 50 languages!

At this point, it mostly works as a crude implementation of Google translate+Google lens, but 100% offline and 100% Google-free

This looks really excellent, looking forward to giving it a try, thank you for sharing!

OmniVoice has wide language support.

Niiiiiice, I've been working on something like this, but reducing linux boot time instead of snapshot restore time; obviously my solution doesn't work for heavy runtimes