* feat: add Moonshine Base speech recognition model
Add support for the Moonshine Base ASR model, which offers:
- 5x faster transcription than Whisper
- Better accent recognition
- ~240MB model size (encoder + decoder + tokenizer)
Changes:
- Update transcribe-rs to v0.2 with moonshine feature
- Add EngineType::Moonshine variant
- Add Moonshine Base model definition (400MB, 80% accuracy, 90% speed)
- Add model loading and transcription logic
- Add i18n translation for Moonshine Base
Note: Model files must be hosted at blob.handy.computer/moonshine-base.tar.gz
Expected structure: encoder_model.onnx, decoder_model_merged.onnx, tokenizer.json
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Update moonshine parameters.
* add translations
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Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: CJ Pais <cj@cjpais.com>
* Fix unstable mute implementation on Windows/Linux
* add some delay before the mute so the audio feedback plays
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Co-authored-by: CJ Pais <cj@cjpais.com>
* Add LLM post-processing feature with settings management and UI integration
* Refactor LLM post-processing settings and prompt selection logic
* Rename CLAUDE.md to more standard AGENTS.md
* Replace Open Router with OpenAI Compatible endpoints for post-processing
* Fix post processing settings api styles
* refactor or something
* simplify
* cleanup a bit?
* remove useless code
* minor improvements
* fix laggy textarea
* Store post-processing results in db
* fix text color
* new default prompt
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Co-authored-by: CJ Pais <cj@cjpais.com>
