Add optional Orukeet Core ML preview with verified Hugging Face install - #980
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Description
Adds an optional Orukeet Core ML preview in the model selector. Installation consumes the pinned Hugging Face manifest, verifies the archive's SHA-256 and byte count, and compiles its portable models on the Mac. Hugging Face counts the manifest download normally. Loading and transcription use the separate local Orukeet cache.
The preview reuses FluidVoice's existing transcription provider. Its speed and accuracy remain unrated; model defaults are unchanged.
Type of Change
Related Issue or Discussion
Proposal: #981. Maintainer acceptance is pending.
Testing
swiftlint --strict --config .swiftlint.yml Sources Tests Package.swiftswiftformat --config .swiftformat Sources3fd63887) and matching auxiliary dependency revisions, English, German and French recordings each produced identical text over three runs (nine decodes); one-second silence returned empty text on three runs. Corrupt archives, cancellation, and a failed final move preserved the previous valid cache. Removing the encoder made the installation incomplete and loading failed locally. Throttled local HTTP transfers delivered intermediate progress with and without Content-Length; HTTP failure, interruption and cancellation left no retained temporary files.The full Xcode 26.6 app build and focused XCTest run passed at
f7c3c8c: two tests passed, two fixture-dependent tests skipped, zero failures. The regression file is now registered in the Xcode test target. The skipped model/HTTP cases were exercised by the local harness above.Screenshots / Video
The actual built app completed a fresh Hugging Face download with visible progress, installed and activated Orukeet, and transcribed the English recording through File Transcription with the expected text. These are captures from that app; the following commit only adds screenshots.
Preview and download progress
Notes
The optional preview keeps CC BY-SA 4.0 weight licensing and Oruk/NVIDIA attribution. It uses the baseline Core ML profile, which preserves the joint outputs expected by the existing runtime. Custom vocabulary boosting remains unavailable for this preview.
The standalone upstream Package.swift points at a missing Sources/FluidVoice directory; the full build used the app's Xcode project. GUI checks used an ad-hoc signed debug build with onboarding preconfigured; microphone and Accessibility permissions were not granted, so live microphone/global typing is outside these checks. The CI archive's duplicated CTranscribe framework aliases were verified byte-identical and restored to standard symlinks for local signing; executable code was unchanged.