from pathlib import Path
from PIL import Image

from model_service import get_model_config, get_model_service


IMAGE_PATH = Path("person.jpg")
# IMAGE_PATH = Path("no_person.jpg")


def main():
    if not IMAGE_PATH.exists():
        raise SystemExit(f"Image not found: {IMAGE_PATH}")

    service = get_model_service()
    config = get_model_config()
    print(f"[INFO] device={service.device}")
    print(f"[INFO] model_name={config.name}")
    print(f"[INFO] model_backend={config.backend}")
    print(f"[INFO] model_path={config.model_path}")
    print(f"[INFO] image={IMAGE_PATH}")

    img = Image.open(IMAGE_PATH).convert("RGB")
    result = service.predict_image(img)

    print("\n========== RESULT ==========")
    print(f"Prediction: {result['label']}")
    print(f"P(no_person) = {result['probabilities']['no_person']:.4f}")
    print(f"P(person)    = {result['probabilities']['person']:.4f}")
    print("============================")


if __name__ == "__main__":
    main()