| # Project Usage | |
| ## Setting Up | |
| 1. Install dependencies: `pip install -r requirements.txt` | |
| 2. Prepare dataset in `data/processed/` | |
| 3. Run training: `python src/model/train.py --config configs/train_config.yaml` | |
| 4. Launch demo app: `streamlit run demo_app/app.py` | |
| ## Project Structure | |
| - `models/`: Fine-tuned checkpoints | |
| - `demo_app/`: Demo frontend interface | |
| - `configs/`: Configs and hyperparameters | |
| - `tests/`: Unit tests | |