yujonglee

6 ms·

1.
by yujonglee 5d ago
- We recently migrated to shadcn, which also comes with dark mode support. - You can subscribe to the issue or email me at yujong at berri.ai I’m happy to provide any support if you’re willing to try out the initial version.
2.
by yujonglee 5d ago
thanks for the feedback. genuinely curious what you think we could be doing better, especially around our dev practices. Would love to hear specifics.
3.
by yujonglee 5d ago
also if you had resource issues with your production deployment, keen to hear more details
4.
by yujonglee 5d ago
hey - litellm will migrate its core to Rust soon. please follow this issue if you're interested! https://github.com/BerriAI/litellm/issues/31263
5.
by yujonglee 1mo ago
cool! we have something similar implemented: https://github.com/fastrepl/anarlog/tree/main/crates/owhispe...
6.
by yujonglee 1mo ago
amazing work! impressed with https://deepgrove.ai/chat
7.
by yujonglee 3mo ago
there is some overlap on how I built relay plugin: https://yujonglee.com/blog/hacking-tauri-for-designer/ Source code: https://github.com/fastrepl/anarlog/tree/d38413681a3c02f5ba3...
8.
by yujonglee 4mo ago
fyi this use vendored openrouter models info: https://github.com/yujonglee/openrouter-toolkit/blob/main/cr...
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Show HN: Compile-time model-id validation with declared capability(github.com)
6 points by yujonglee 4mo ago|2 comments
10.
Show HN: Composable CLI for your meeting workflow(cli.char.com)
3 points by yujonglee 6mo ago|0 comments
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Hacking Tauri for Designer(yujonglee.com)
26 points by yujonglee 7mo ago|5 comments
12.
by yujonglee 1y ago
Super impressed and inspired!
13.
by yujonglee 1y ago
kind of self-plug, but you might find https://github.com/fastrepl/hyprnote/blob/main/README.md interesting. EDIT: typo
14.
by yujonglee 1y ago
It can run Whisper and Moonshine models locally, while also allowing the use of other API providers. Read the docs - or at least this post.
15.
by yujonglee 1y ago
what do you mean? this use-case is not llm. it is realtime stt. also fyi - https://docs.hyprnote.com/owhisper/configuration/providers/o...
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by yujonglee 1y ago
sure. `owhisper pull --help`
17.
by yujonglee 1y ago
yes. metal is on
18.
by yujonglee 1y ago
Thank you!
19.
by yujonglee 1y ago
Its lot more than that. - It supports other models like moonshine. - It also works as proxy for cloud model providers. - It can expose local models as Deepgram compatible api server
20.
by yujonglee 1y ago
probably end of this month or early next month. not 100% sure.
21.
by yujonglee 1y ago
we store data in R2 and range query sometime glitch... It might work if you retry it
22.
by yujonglee 1y ago
yeah we use whisper.cpp for whisper inference. this is more like a community-focused project, not a commercial product!
23.
by yujonglee 1y ago
got it. fyi if you run `owhisper pull --help`, this info is printed
24.
by yujonglee 1y ago
It's open-source. Happy to review & merge if you can send us PR! https://github.com/fastrepl/hyprnote/blob/8bc7a5eeae0fe58625...
25.
by yujonglee 1y ago
Are you thinking about the realtime use-case or batch use-case? For just transcribing file/audio, `owhisper run <MODEL> --file a.wav` or `curl httpsL//something.com/audio.wav | owhisper run <MODEL>` might mak
26.
by yujonglee 1y ago
This is CLI entry point: https://github.com/fastrepl/hyprnote/blob/8bc7a5eeae0fe58625...
27.
by yujonglee 1y ago
> I'm on linux I didn't tested on Linux yet, but we have linux build: http://owhisper.hyprnote.com/download/latest/linux-x86_64 > also, it looks like the `owhisper run` command gives it's outp
28.
by yujonglee 1y ago
I use VAD to chunk audio. Whisper and Moonshine both works in a chunk, but for moonshine: > Moonshine's compute requirements scale with the length of input audio. This means that shorter input audio is processed faster, unlike exist
29.
by yujonglee 1y ago
Correct. About the deepgram-compatibility: https://docs.hyprnote.com/owhisper/deepgram-compatibility Let me know how it goes!
30.
by yujonglee 1y ago
yeah that is on the roadmap!

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