tv VS livego

Hey HN! I built COSSgpt using videos from the Open Source Founder Podcast [1] and livestreams from COSS Office Hours [2][3]

I transcribed the VODs using Whisper and vectorized fixed-size segments from the transcripts with MPNet on Replicate GPUs. I made these segments overlap a little to prevent semantic meaning being lost inbetween segments

Then I indexed the vectors using HNSWLib in-memory vectorstore [4] and persisted the entire vectorstore into Tigris object storage [5] to cache multimedia and vectors across all Fly.io regions

I built the app in Elixir, almost entirely server-side rendered with minimal diffs sent to the client over WebSockets using Phoenix LiveView. I also used Livebook [6] a ton when I was building the multimedia processing & ML pipeline. I'm super bullish on Elixir for building webapps and/or MLops!

Let me know what you think :) If you're curious you can find the code at https://github.com/algora-io/tv

[1]: https://algora.io/podcast

For streaming video content your options would be HLS or WebRTC, maybe look into these gwuhaolin/livego and pion/webrtc.

So a good place to begin - I tried googling this but there is a lot of noise in the google results since I am lacking domain keywords, what is it called when / what libraries can I use for receiving video from something like OBS? The one useful result I have so far is livego, my only concern being that everything is handled so I have no control over the delay/buffer. There is 1 github issue about it that was asked and then closed without an answer. I don't see it in the configs either. Also unsure if I would be able to target twitch as the upload target.

Trust me, I've tried this for work. Most providers force you to use their cloud to access HLS, you can technically run a converter yourself for a hobby project: https://github.com/gwuhaolin/livego

you might take a look into this: https://github.com/gwuhaolin/livego