gut VS whisper

I'm starting to get confused with all the git clients/wrapper out there I first thought you would be https://github.com/sdslabs/gut/ or maybe https://github.com/tillberg/gut or https://github.com/quilicicf/Gut

Choosing a name is hard and all the gut ones are taken (haha...), but maybe at least choose one that isn't used multiple times for the same use case. You probably wrote kt for yourself and I name my programs however I like as well, but man you even registered a domain for it. Let's hope it finds more traction than all the other gut clients

This was exactly my use case for building gut, https://github.com/tillberg/gut. It's a daemon that wraps git, auto-committing changes for a tree and bidirectionally syncing them between N computers. The wrapped git is autorenamed from git to gut so that it can commit git folders. The gut tools are usable for exploring/manipulating history of this meta-repo, too. I saved myself from disaster a couple times with `gut checkout ...`.

Nowadays I use Syncthing for the same purpose (I learned about Syncthing when I did a Show HN for gut). Dropbox works reasonably well, too.

Let’s not talk about local models as the hardware requirements are way beyond most of these people’s reach. I have a MacBook Air with an M2 chip and 8GB of RAM and can hardly run Whisper locally, so I use this HuggingFace space.

Last week, I launched notesGPT, a free and open source voice note app that has 35,000 visitors, 7,000 users, and over 1,000 GitHub stars so far in the last week. It allows you to record a voice note, transcribes it uses Whisper, and uses Mixtral via Together to extract action items and display them in an action items view. It’s also fully open source and comes equipped with authentication, storage, vector search, action items, and is fully responsive on mobile for ease of use.

I found a pretty good discussion in the topic here:

https://github.com/openai/whisper/discussions/1243

There is a plot of language performance on their repo: https://github.com/openai/whisper

I am not aware of a multi-lingual leaderboard for speech recognition models.

I don't know how OP does it, but here's how I'd do it:

* Generate a transcript by runing Whisper against the podcast audio file: https://github.com/openai/whisper

* Upload transcript to ChatGPT and ask it to summarize.

* Automate all the above.

Ahh, that makes sense. I've been building something like that, but only from other languages into English using Whisper

Whisper already generates subtitles[0], supporting VTT and SRT so this is just a thin wrapper around that.

[0]: https://github.com/openai/whisper/blob/e58f28804528831904c3b...

> although it does require you to wear headphones so the bot doesn't hear itself and get interrupted.

Maybe you can rely on some sort of speaker identification to sort this out?

https://github.com/openai/whisper/discussions/264