Phase 1 foundation: Tauri shell, Python sidecar, SQLite database
Tauri v2 + Svelte + TypeScript frontend:
- App shell with workspace layout (waveform, transcript, speakers, AI chat)
- Placeholder components for all major UI areas
- Typed stores (project, transcript, playback, AI)
- TypeScript interfaces matching the database schema
- Tauri bridge service with typed invoke wrappers
- svelte-check passes with 0 errors
Rust backend:
- Tauri v2 app entry point with command registration
- SQLite database layer (rusqlite with bundled SQLite)
- Full schema: projects, media_files, speakers, segments, words,
ai_outputs, annotations (with indexes)
- Model structs with serde serialization
- CRUD queries for projects, speakers, segments, words
- Segment text editing preserves original text
- Schema versioning for future migrations
- 6 tests passing
- Command stubs for project, transcribe, export, AI, settings, system
- App state management
Python sidecar:
- JSON-line IPC protocol (stdin/stdout)
- Message types: IPCMessage, progress, error, ready
- Handler registry with routing and error handling
- Ping/pong handler for connectivity testing
- Service stubs: transcribe, diarize, pipeline, AI, export
- Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM
- Hardware detection stubs
- 14 tests passing, ruff clean
Also adds:
- Testing strategy document (docs/TESTING.md)
- Validation script (scripts/validate.sh)
- Updated .gitignore for Svelte, Rust, Python artifacts
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:16:06 -08:00
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[package]
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name = "voice-to-notes"
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version = "0.1.0"
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description = "Voice to Notes — desktop transcription with speaker identification"
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authors = ["Voice to Notes Contributors"]
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license = "MIT"
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edition = "2021"
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[lib]
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name = "voice_to_notes_lib"
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crate-type = ["staticlib", "cdylib", "rlib"]
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[build-dependencies]
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tauri-build = { version = "2", features = [] }
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[dependencies]
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Phase 6: Llama-server manager, settings UI, packaging, and polish
- Implement LlamaManager in Rust for llama-server lifecycle: spawn with
port allocation, health check, clean shutdown on Drop, model listing
- Add llama_start/stop/status/list_models Tauri commands
- Add load_settings/save_settings commands with JSON persistence
- Build SettingsModal with tabs for Transcription, AI Provider, Local AI
settings (model size, device, language, API keys, provider selection)
- Wire settings into pipeline calls (model, device, language, skip diarization)
- Configure Tauri packaging: asset protocol for local audio files,
CSP policy, bundle metadata, Linux .deb/.AppImage and Windows .msi config
- Add keyboard shortcuts: Space (play/pause), Ctrl+O (import),
Ctrl+, (settings), Escape (close menus/modals)
- Close export dropdown on outside click
- Tests: 30 Python, 6 Rust, 0 Svelte errors
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 16:38:23 -08:00
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tauri = { version = "2", features = ["protocol-asset"] }
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Phase 1 foundation: Tauri shell, Python sidecar, SQLite database
Tauri v2 + Svelte + TypeScript frontend:
- App shell with workspace layout (waveform, transcript, speakers, AI chat)
- Placeholder components for all major UI areas
- Typed stores (project, transcript, playback, AI)
- TypeScript interfaces matching the database schema
- Tauri bridge service with typed invoke wrappers
- svelte-check passes with 0 errors
Rust backend:
- Tauri v2 app entry point with command registration
- SQLite database layer (rusqlite with bundled SQLite)
- Full schema: projects, media_files, speakers, segments, words,
ai_outputs, annotations (with indexes)
- Model structs with serde serialization
- CRUD queries for projects, speakers, segments, words
- Segment text editing preserves original text
- Schema versioning for future migrations
- 6 tests passing
- Command stubs for project, transcribe, export, AI, settings, system
- App state management
Python sidecar:
- JSON-line IPC protocol (stdin/stdout)
- Message types: IPCMessage, progress, error, ready
- Handler registry with routing and error handling
- Ping/pong handler for connectivity testing
- Service stubs: transcribe, diarize, pipeline, AI, export
- Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM
- Hardware detection stubs
- 14 tests passing, ruff clean
Also adds:
- Testing strategy document (docs/TESTING.md)
- Validation script (scripts/validate.sh)
- Updated .gitignore for Svelte, Rust, Python artifacts
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 15:16:06 -08:00
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tauri-plugin-opener = "2"
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serde = { version = "1", features = ["derive"] }
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serde_json = "1"
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rusqlite = { version = "0.31", features = ["bundled"] }
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uuid = { version = "1", features = ["v4", "serde"] }
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thiserror = "1"
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chrono = { version = "0.4", features = ["serde"] }
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2026-02-26 16:02:27 -08:00
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tauri-plugin-dialog = "2.6.0"
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