"""
Phase 3b: Fine-tune LoRA adapter for Fula (ful).
Trains on the same frozen backbone as Bambara — base model weights are NOT modified.

Usage:
    python scripts/train_fula.py
"""
import logging
import sys
from pathlib import Path

sys.path.insert(0, str(Path(__file__).parent.parent))

from dotenv import load_dotenv

load_dotenv()

logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(name)s — %(message)s")

from src.training.trainer import WhisperLoRATrainer

if __name__ == "__main__":
    trainer = WhisperLoRATrainer(
        base_config_path="configs/base_config.yaml",
        language_config_path="configs/lora_fula.yaml",
    )
    trainer.setup()
    trainer.train()
    print("\nFula training complete. Adapter saved to adapters/fula/")