Claude
58faa83cb3
Cross-platform distribution, UI improvements, and performance optimizations
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- PyInstaller frozen sidecar: spec file, build script, and ffmpeg path resolver
for self-contained distribution without Python prerequisites
- Dual-mode sidecar launcher: frozen binary (production) with dev mode fallback
- Parallel transcription + diarization pipeline (~30-40% faster)
- GPU auto-detection for diarization (CUDA when available)
- Async run_pipeline command for real-time progress event delivery
- Web Audio API backend for instant playback and seeking
- OpenAI-compatible provider replacing LiteLLM client-side routing
- Cross-platform RAM detection (Linux/macOS/Windows)
- Settings: speaker count hint, token reveal toggles, dark dropdown styling
- Loading splash screen, flexbox layout fix for viewport overflow
- Gitea Actions CI/CD pipeline (Linux, Windows, macOS ARM)
- Updated README and CLAUDE.md documentation
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com >
2026-03-20 21:33:43 -07:00
d67625cd5a
Phase 5: AI provider system with local and cloud support
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- Implement AIProvider base interface with chat() and is_available()
- Add LocalProvider connecting to bundled llama-server via OpenAI SDK
- Add OpenAIProvider for direct OpenAI API access
- Add AnthropicProvider for Anthropic Claude API
- Add LiteLLMProvider for multi-provider gateway
- Build AIProviderService with provider routing, auto-selection,
and transcript context injection
- Add ai.chat IPC handler supporting chat, list_providers, set_provider,
and configure actions
- Add ai_chat, ai_list_providers, ai_configure Tauri commands
- Build interactive AIChatPanel with message history, quick actions
(Summarize, Action Items), and transcript context awareness
- Tests: 30 Python, 6 Rust, 0 Svelte errors
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-02-26 16:25:10 -08:00
503cc6c0cf
Phase 1 foundation: Tauri shell, Python sidecar, SQLite database
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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
