be9f14ce34
A small helpdesk system: an office Pixel running a patched GrapheneOS Dialer answers technician calls, records both call legs as separate channels, and a Ruby backend transcribes them through Whisper and files an AI summary against the caller. Squashed to a single commit for sharing. No credentials are included; secrets live outside the repo in /etc/helpdesk/env on the server or a gitignored .claude/env.local locally. See .claude/env.local.example for the shape. Start at README.md, then docs/architecture.md.
29 lines
1.5 KiB
Text
29 lines
1.5 KiB
Text
# Domain vocabulary the transcriber cannot know.
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#
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# One term per line. "#" starts a comment. A term may contain spaces and is matched as a phrase.
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# Terms shorter than 4 characters are ignored - too easy to collide with ordinary words.
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#
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# ONLY DISTINCTIVE TERMS BELONG HERE: system names, site names, operators, product codes. Do NOT add
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# ordinary Czech words. "balíček" is one edit from "malíček" (little finger), so listing it would
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# eventually rewrite a correct sentence into a wrong one. Common words come out wrong because the audio
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# is poor, and that is fixed at the recorder (persist.helpdesk.rec_bitrate), not here.
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#
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# Before adding a term, ask: could a normal Czech word be one or two edits away from it? If yes, leave
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# it out. Every entry is applied to every call.
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#
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# Verify a change with: ruby components/backend/test/test_glossary.rb
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# --- systems --------------------------------------------------------------------------------------
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yamt # the monitoring platform; Whisper writes "jamt" - same sound, no way to know
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repeater
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plánovač
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RF plánovač
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# --- operators ------------------------------------------------------------------------------------
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Vodafone
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T-Mobile
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# --- sites ----------------------------------------------------------------------------------------
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# Add site names as they come up in real calls. These are exactly the words that matter to a technician
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# and exactly the ones a general-purpose model has never seen.
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Ježlovice
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