Delete upload.py
Browse files
upload.py
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import os
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import time
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from pathlib import Path
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# 如果使用本地HF镜像,取消注释下面这行
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# os.environ["HF_ENDPOINT"] = "http://localhost:5564"
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os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
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from huggingface_hub import HfApi, logging
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# 配置
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REPO_ID = "PluginsKers/Convbased-Studio" # 请修改为您的仓库ID
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REPO_TYPE = "model"
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COMMIT_MESSAGE = "Upload Convbased Studio models and assets"
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# 设置日志级别
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logging.set_verbosity_info()
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hf = HfApi()
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def upload_file_with_retry(file_path, repo_path, max_retries=3):
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"""带重试功能的文件上传"""
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for attempt in range(max_retries):
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try:
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print(f"上传文件 {file_path} -> {repo_path} (尝试 {attempt + 1}/{max_retries})")
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result = hf.upload_file(
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path_or_fileobj=str(file_path),
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path_in_repo=repo_path,
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repo_id=REPO_ID,
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repo_type=REPO_TYPE,
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commit_message=f"{COMMIT_MESSAGE}: {repo_path}"
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)
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print(f"✅ 成功上传: {repo_path}")
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return result
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except Exception as e:
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print(f"❌ 上传失败 (尝试 {attempt + 1}): {e}")
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if attempt < max_retries - 1:
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time.sleep(5) # 等待5秒后重试
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else:
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print(f"❌ 文件 {file_path} 上传最终失败")
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raise e
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def main():
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"""主上传函数"""
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project_root = Path(".")
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print("🚀 开始上传 Convbased Studio 项目到 HuggingFace Hub")
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print(f"📁 项目目录: {project_root.absolute()}")
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print(f"🎯 目标仓库: {REPO_ID}")
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print("-" * 50)
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# 要上传的文件列表
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files_to_upload = []
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# 1. 添加 README.md
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readme_path = project_root / "README.md"
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if readme_path.exists():
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files_to_upload.append((readme_path, "README.md"))
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# 2. 添加主模型压缩包
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archive_path = project_root / "RVC1006Nvidia_Convbased_0611.7z"
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if archive_path.exists():
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files_to_upload.append((archive_path, "RVC1006Nvidia_Convbased_0611.7z"))
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# 3. 递归添加 embedders 目录下的所有文件
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embedders_dir = project_root / "embedders"
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if embedders_dir.exists():
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for file_path in embedders_dir.rglob("*"):
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if file_path.is_file():
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# 计算相对路径
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relative_path = file_path.relative_to(project_root)
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files_to_upload.append((file_path, str(relative_path).replace("\\", "/")))
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# 4. 添加 assets 目录下的文件(如果存在)
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assets_dir = project_root / "assets"
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if assets_dir.exists():
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for file_path in assets_dir.rglob("*"):
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if file_path.is_file():
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relative_path = file_path.relative_to(project_root)
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files_to_upload.append((file_path, str(relative_path).replace("\\", "/")))
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print(f"📋 发现 {len(files_to_upload)} 个文件待上传:")
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for i, (file_path, repo_path) in enumerate(files_to_upload, 1):
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file_size = file_path.stat().st_size / (1024 * 1024) # MB
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print(f" {i:2d}. {repo_path} ({file_size:.1f} MB)")
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print("-" * 50)
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# 按文件大小排序,先上传小文件
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files_to_upload.sort(key=lambda x: x[0].stat().st_size)
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success_count = 0
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failed_files = []
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for i, (file_path, repo_path) in enumerate(files_to_upload, 1):
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try:
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print(f"\n📤 [{i}/{len(files_to_upload)}] 上传文件...")
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upload_file_with_retry(file_path, repo_path)
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success_count += 1
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except Exception as e:
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failed_files.append((file_path, repo_path, str(e)))
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print(f"❌ 跳过文件: {repo_path}")
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# 上传结果统计
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print("\n" + "=" * 50)
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print("📊 上传结果统计:")
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print(f"✅ 成功上传: {success_count} 个文件")
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print(f"❌ 失败文件: {len(failed_files)} 个文件")
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if failed_files:
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print("\n❌ 失败文件列表:")
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for file_path, repo_path, error in failed_files:
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print(f" - {repo_path}: {error}")
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if success_count > 0:
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print(f"\n🎉 项目已成功上传到: https://huggingface.co/{REPO_ID}")
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print("=" * 50)
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if __name__ == "__main__":
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# 检查是否需要修改仓库ID
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if REPO_ID == "your-username/convbased-studio":
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print("⚠️ 请先修改脚本中的 REPO_ID 变量为您的实际仓库ID")
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print(" 例如: 'your-username/convbased-studio'")
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input(" 修改完成后按回车键继续...")
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try:
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main()
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except KeyboardInterrupt:
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print("\n\n⏹️ 用户中断上传")
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except Exception as e:
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print(f"\n\n💥 发生未预期的错误: {e}")
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