feat: add meeting transcription app scaffolding

- 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

PROJECT_INFO.md

@@ -0,0 +1,120 @@
+# 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
+
+1. Clone the repository:
+
+```bash
+git clone https://github.com/naomi-lgbt/chronara.git
+cd chronara
+```
+
+2. Install frontend dependencies:
+
+```bash
+pnpm install
+```
+
+3. Install Python dependencies:
+
+```bash
+pip install -r requirements.txt
+```
+
+4. Download the AI models:
+
+```bash
+python scripts/download_models.py
+```
+
+5. Run in development mode:
+
+```bash
+pnpm tauri:dev
+```
+
+## Building for Production
+
+### Windows
+
+1. Download models if not already done:
+
+```bash
+python scripts/download_models.py
+```
+
+2. Build the Windows executable:
+
+```bash
+python scripts/build_windows.py
+```
+
+The installer will be created in `src-tauri/target/release/bundle/nsis/`.
+
+## Usage
+
+1. **Start Recording**: Click the "Start Recording" button to begin capturing audio
+2. **Real-time Transcription**: Watch as the conversation is transcribed with speaker labels
+3. **Generate Summary**: After recording, click "Generate Summary" for an AI-powered meeting summary
+4. **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