"""
Quick start: Score a single video edit with VEFX-Reward.

Usage:
    python examples/quick_start.py \
        --original path/to/original.mp4 \
        --edited path/to/edited.mp4 \
        --instruction "add a hat to the person"
"""

import argparse
import torch
from vefx_reward import VEFXReward


def main():
    parser = argparse.ArgumentParser(description="Score a video edit with VEFX-Reward")
    parser.add_argument("--original", required=True, help="Path to original video")
    parser.add_argument("--edited", required=True, help="Path to edited video")
    parser.add_argument("--instruction", required=True, help="Editing instruction")
    parser.add_argument("--model", default="VEFX-Reward/VEFX-Reward-4B", help="Model path or HF ID")
    parser.add_argument("--device", default="cuda", help="Device (cuda / cpu)")
    args = parser.parse_args()

    model = VEFXReward(args.model, device=args.device)
    scores = model.score(args.original, args.edited, args.instruction)

    print("\n" + "=" * 50)
    print("VEFX-Reward Scores")
    print("=" * 50)
    print(f"  Instructional Following (IF): {scores['IF']:.2f}")
    print(f"  Render Quality          (RQ): {scores['RQ']:.2f}")
    print(f"  Edit Exclusivity        (EE): {scores['EE']:.2f}")
    print(f"  Overall                     : {scores['Overall']:.2f}")
    print("=" * 50)


if __name__ == "__main__":
    main()