Delete scripts/run_inference_final.py

scripts/run_inference_final.py

@@ -1,52 +0,0 @@
-"""
-最终推理脚本 - 使用已训练好的模型
-"""
-import sys
-from pathlib import Path
-
-# 添加scripts目录到路径，以便导入inference_longemotion
-sys.path.append(str(Path(__file__).parent))
-
-from inference_longemotion import LongEmotionInference
-
-def main():
-    print("="*80)
-    print("LongEmotion 测试集推理 - 使用已训练模型")
-    print("="*80)
-    
-    # 配置 - 使用Detection文件夹内的相对路径
-    # 获取Detection文件夹的根目录
-    detection_root = Path(__file__).parent.parent
-    model_path = detection_root / "model" / "best_model.pt"
-    test_file = detection_root / "test_data" / "test.jsonl"
-    output_file = detection_root / "submission" / "predictions.jsonl"
-    output_detailed = detection_root / "submission" / "predictions_detailed.json"
-    
-    print(f"\n模型: {model_path}")
-    print(f"测试集: {test_file} (136个样本)")
-    print(f"输出: {output_file}")
-    
-    # 创建推理器
-    print("\n[1/2] 加载模型...")
-    inference = LongEmotionInference(
-        model_path=str(model_path),
-        device="cpu",  # 使用CPU，更稳定
-        max_length=512,
-        batch_size=16
-    )
-    
-    # 执行推理
-    print("\n[2/2] 开始推理...")
-    inference.inference_longemotion_test(
-        test_file=str(test_file),
-        output_file=str(output_file),
-        output_detailed=str(output_detailed)
-    )
-    
-    print("\n" + "="*80)
-    print("[完成] 推理结束！")
-    print("="*80)
-
-if __name__ == "__main__":
-    main()
-