upload_to_hf.py

#!/usr/bin/env python3
"""
Upload Time-Series-Library to HuggingFace Hub.
"""

from huggingface_hub import HfApi, create_repo
import os

# Configuration
REPO_NAME = "Time-Series-Library"  # Change to your desired repo name
USERNAME = "lwaekfjlk"  # Change to your HuggingFace username
REPO_TYPE = "model"  # or "dataset" or "space"
PRIVATE = False  # Set to True for private repo

# Files/folders to exclude from upload
IGNORE_PATTERNS = [
    "*.pyc",
    "__pycache__",
    ".git",
    ".gitignore",
    "checkpoints/*",  # Large checkpoint files
    "*.pt",
    "*.pth",
    "*.ckpt",
    ".DS_Store",
]

def main():
    api = HfApi()
    
    repo_id = f"{USERNAME}/{REPO_NAME}"
    
    # Create the repo (if it doesn't exist)
    print(f"Creating repo: {repo_id}")
    try:
        create_repo(
            repo_id=repo_id,
            repo_type=REPO_TYPE,
            private=PRIVATE,
            exist_ok=True,
        )
        print(f"✅ Repo created/exists: https://huggingface.co/{repo_id}")
    except Exception as e:
        print(f"⚠️ Repo creation: {e}")
    
    # Upload the entire folder
    print(f"\nUploading folder to {repo_id}...")
    
    # Get the directory of this script
    folder_path = os.path.dirname(os.path.abspath(__file__))
    
    api.upload_folder(
        folder_path=folder_path,
        repo_id=repo_id,
        repo_type=REPO_TYPE,
        ignore_patterns=IGNORE_PATTERNS,
        commit_message="Upload Time-Series-Library",
    )
    
    print(f"\n✅ Upload complete!")
    print(f"🔗 View at: https://huggingface.co/{repo_id}")


if __name__ == "__main__":
    main()