Delete upload_to_huggingface.py

upload_to_huggingface.py

@@ -1,83 +0,0 @@
-"""
-上传Detection模型到Hugging Face Hub
-"""
-from huggingface_hub import HfApi, create_repo
-import os
-
-# 配置
-REPO_NAME = "your-username/longemotion-detection"  # 修改为你的用户名
-MODEL_PATH = "model/best_model.pt"
-LOCAL_DIR = "."
-
-def upload_model():
-    """上传模型到Hugging Face"""
-    
-    print("="*60)
-    print("上传LongEmotion Detection模型到Hugging Face")
-    print("="*60)
-    
-    # 初始化API
-    api = HfApi()
-    
-    # 步骤1: 创建仓库（如果不存在）
-    print("\n[1/3] 创建仓库...")
-    try:
-        create_repo(
-            repo_id=REPO_NAME,
-            repo_type="model",
-            exist_ok=True,
-            private=False  # 设置为True则为私有仓库
-        )
-        print(f"✅ 仓库创建/确认: {REPO_NAME}")
-    except Exception as e:
-        print(f"❌ 创建仓库失败: {e}")
-        return
-    
-    # 步骤2: 上传模型文件
-    print("\n[2/3] 上传模型文件...")
-    try:
-        api.upload_file(
-            path_or_fileobj=MODEL_PATH,
-            path_in_repo="best_model.pt",
-            repo_id=REPO_NAME,
-            repo_type="model",
-        )
-        print("✅ 模型文件上传成功")
-    except Exception as e:
-        print(f"❌ 上传模型失败: {e}")
-        return
-    
-    # 步骤3: 上传README和其他文件
-    print("\n[3/3] 上传README和文档...")
-    files_to_upload = [
-        ("README.md", "README.md"),
-        ("快速使用指南.md", "快速使用指南.md"),
-        ("scripts/inference_longemotion.py", "inference_longemotion.py"),
-        ("scripts/detection_model.py", "detection_model.py"),
-    ]
-    
-    for local_path, remote_path in files_to_upload:
-        if os.path.exists(local_path):
-            try:
-                api.upload_file(
-                    path_or_fileobj=local_path,
-                    path_in_repo=remote_path,
-                    repo_id=REPO_NAME,
-                    repo_type="model",
-                )
-                print(f"✅ 上传: {remote_path}")
-            except Exception as e:
-                print(f"⚠️ 上传 {remote_path} 失败: {e}")
-    
-    print("\n" + "="*60)
-    print(f"🎉 上传完成！")
-    print(f"模型地址: https://huggingface.co/{REPO_NAME}")
-    print("="*60)
-
-if __name__ == "__main__":
-    # 检查是否已登录
-    print("请确保已执行: huggingface-cli login")
-    input("按回车继续...")
-    
-    upload_model()
-