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Calliop v0.1.4

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@github-actions github-actions released this 12 Jun 20:55

Calliop v0.1.4

Feature release — live editing during dictation, update notifications, richer dictation controls, and model management in Settings.

Changes

Live dictation

  • Live editing pipeline — punctuation on pause, list formatting, and pipelined LLM cleanup while you dictate
  • Improved list formatting in transcript processing
  • Stronger LLM cleanup validation so prompt fixes apply without rebuilding the sidecar

Dictation controls

  • Clearer toggle vs push-to-talk behavior with busy hints during transcription and injection
  • Cancel during transcription by releasing the shortcut (no text injected)
  • Updated user guide with a shortcut action table (EN)

Updates

  • Update notifications and background download with in-app toasts
  • Streamlined update check logic

Settings & models

  • Delete and reinstall models from Settings (Whisper and LLM)
  • Better handling and messaging for corrupted model files (EN/FR)
  • New model management actions and status feedback in the Models panel

Dictionary & injection

  • Dictionary learning ignores appended tokens and case-only changes to reduce pollution
  • More reliable paste injection error handling on Windows

Hotkeys & LLM tooling

  • Hotkey capture includes modifier keys for more accurate shortcut mapping
  • test-llm supports raw input and model selection for easier debugging

Installation (Windows)

  1. Download Calliop_*_x64-setup.exe (NSIS) or .msi.
  2. Install WebView2 if needed.
  3. Accept the SmartScreen warning (unsigned binary in v1).
  4. On first launch, the Whisper model downloads (~466 MB).

See docs/installation.md.

macOS / Linux (experimental)

DMG, AppImage, and deb artifacts are provided unsigned and untested for v1. Use at your own risk.

Known limitations

  • Windows binaries are unsigned (SmartScreen)
  • ML models download separately on first use
  • Automatic updates are enabled by default; disable in Settings → Advanced if needed
  • No official macOS/Linux support in v1

License

AGPL-3.0