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authorCraig Jennings <c@cjennings.net>2026-09-25 13:05:42 -0400
committerCraig Jennings <c@cjennings.net>2026-09-25 13:05:42 -0400
commitd447db5ac9063ec12afb8f5bc7b3a0b05c75bad4 (patch)
tree1c0231a2528f779a83741937e0da6fea0c409da9 /dotfiles/system/.config/sublime-merge
parentadab9abae11792eaa17711a63a74efa68885a0be (diff)
downloadarchsetup-d447db5ac9063ec12afb8f5bc7b3a0b05c75bad4.tar.gz
archsetup-d447db5ac9063ec12afb8f5bc7b3a0b05c75bad4.zip
chore: stage the meeting transcription service for an install homeHEADmain
This is a self-hosted transcription service: whisper.cpp for the words, pyannote for the speaker labels. It has been running on ratio since 2026-09-17, with velox as the offline fallback. A systemd path unit watches a filesystem queue and starts a oneshot worker per job. There is no network listener. ssh is the transport, systemd is the daemon, and the filesystem is the queue. It lands in working/ rather than its final home because two decisions come first. I haven't picked where the code lives in this repo. The Hugging Face token the diarization model needs on its first download also has to be handled, since anyone can read this repo. Neither blocks the service, which already runs. Both block the install path this repo owes it. The accompanying note lists what each machine needs. The torch venv is 1.3 GB and the whisper model is a separate download, so the note describes both rather than carrying them here.
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