| from huggingface_hub.utils import RepositoryNotFoundError, HfHubHTTPError | |
| from huggingface_hub import HfApi, create_repo | |
| import os | |
| repo_id = "SharleyK/PredictiveMaintenance" | |
| repo_type = "dataset" | |
| # Initialize API client | |
| api = HfApi(token=os.getenv("HF_TOKEN")) | |
| # Step 1: Check if the space exists | |
| try: | |
| api.repo_info(repo_id=repo_id, repo_type=repo_type) | |
| print(f"Space '{repo_id}' already exists. Using it.") | |
| except RepositoryNotFoundError: | |
| print(f"Space '{repo_id}' not found. Creating new space...") | |
| create_repo(repo_id=repo_id, repo_type=repo_type, private=False) | |
| print(f"Space '{repo_id}' created.") | |
| api.upload_folder( | |
| folder_path="engine_predictive_maintenance/data", | |
| repo_id=repo_id, | |
| repo_type=repo_type, | |
| ) | |