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So.
I did a thing.
I have audiomuse-ai running its main, complete docker compose script, with all containers, on my 8GB Raspi5, and worker-only containers running on:
They've been running about a week, and I'm a little over a third of the way through
Once the initial analysis is complete, I'll stop all worker containers and leave it all just running fully on the pi5.
I also created a worker-only addon for the 6600T machine, but as it is already running HAOS and Jellyfin, I was getting a lot of OOM-related failures when it was running.
But I also have 32G of used, eBay bought, ddr4 SODIMMs.coming for it.
Bonus: Most of my homelab is in this. The only things missing are my Sophos running OPNsense, and the raspi5. Oh, and my actual desktop machine.
Yo, that’s awesome!
Pro tip for you, ASR (whisper - lyric detection/transcription) can be kind of bad, but if you have some spare resources, it takes very little to host a local LRCLIB database and clone lrclib.net (they have a GitHub page). This massively speed up lyric analysis for me using the API against a local site instead of getting 429s against lrclib.net or relying on ASR.