generated from nhcarrigan/template
naomi
3c8a46e5a6
- Add Python backend structure with FastAPI for transcription/summarization - Add React UI with audio recording, transcript, and summary views - Configure Tauri to manage Python backend lifecycle - Set up Windows cross-compilation with cargo-xwin - Add Gitea CI workflow for lint, test, and multi-platform builds - Configure ESLint, Prettier, and Vitest for code quality Note: App scaffolding only - Python env and models not yet set up
2.7 KiB
2.7 KiB
Chronara - Local Meeting Transcription & Summarization
A Windows desktop application that transcribes, diarizes, and summarizes meetings using only locally-running models.
Features
- 🎙️ Real-time audio transcription with speaker diarization (WhisperX)
- 📝 Intelligent meeting summarization (Llama 3.2)
- 🖥️ Everything runs locally - no cloud services required
- 📦 All models bundled - no separate downloads needed
Tech Stack
- Transcription: WhisperX (Whisper + speaker diarization)
- Summarization: Llama 3.2 1B/3B
- Backend: Python with FastAPI
- Frontend: Tauri + React
- Model Runtime: llama-cpp-python
Project Structure
chronara/
├── src/
│ ├── backend/ # Python FastAPI backend
│ ├── components/ # React components
│ └── App.tsx # Main React app
├── src-tauri/ # Tauri configuration
├── models/ # Bundled model files
├── scripts/ # Build and setup scripts
└── assets/ # Icons, resources
Development Setup
Prerequisites
- Node.js 18+ with pnpm
- Python 3.10+
- Rust (for Tauri)
- Windows build tools (for native modules)
Installation
- Clone the repository:
git clone https://github.com/naomi-lgbt/chronara.git
cd chronara
- Install frontend dependencies:
pnpm install
- Install Python dependencies:
pip install -r requirements.txt
- Download the AI models:
python scripts/download_models.py
- Run in development mode:
pnpm tauri:dev
Building for Production
Windows
- Download models if not already done:
python scripts/download_models.py
- Build the Windows executable:
python scripts/build_windows.py
The installer will be created in src-tauri/target/release/bundle/nsis/.
Usage
- Start Recording: Click the "Start Recording" button to begin capturing audio
- Real-time Transcription: Watch as the conversation is transcribed with speaker labels
- Generate Summary: After recording, click "Generate Summary" for an AI-powered meeting summary
- Export: Download both the full transcript and summary as text files
Model Information
Transcription (WhisperX)
- Model: OpenAI Whisper base model with WhisperX enhancements
- Features: Speaker diarization, timestamp alignment
- Size: ~150MB
Summarization (Llama 3.2)
- 1B Model: Fast, good for basic summaries (~1.2GB)
- 3B Model: Better quality summaries (~2.5GB)
- Format: GGUF quantized models
Privacy & Security
- All processing happens locally on your machine
- No audio or text data is sent to external servers
- Models are bundled with the application
- Meeting data stays on your device