Spaces:
Sleeping
Sleeping
| # Import necessary libraries from huggingface_hub | |
| from huggingface_hub.utils import RepositoryNotFoundError | |
| from huggingface_hub import HfApi, create_repo | |
| import os | |
| # FIX: same reasoning as data_register.py -- this script runs from two | |
| # different working directories (Colab vs GitHub Actions runner), so detect | |
| # whichever deployment folder path actually exists. | |
| DEPLOY_FOLDER = "tourism_project/deployment" if os.path.isdir("tourism_project/deployment") else "deployment" | |
| # Define repository details | |
| repo_id = "imanandshah/Tourism_Package_Prediction" | |
| repo_type = "space" | |
| # Initialize API client using the Hugging Face token from environment variables | |
| 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, | |
| space_sdk="docker", | |
| private=False | |
| ) | |
| print(f"Space '{repo_id}' created.") | |
| # Step 2: Upload the deployment folder (app.py, requirements.txt, Dockerfile) to the Space | |
| api.upload_folder( | |
| folder_path=DEPLOY_FOLDER, | |
| repo_id=repo_id, | |
| repo_type=repo_type, | |
| ) | |
| print("Deployment files uploaded. The Space will now build and restart automatically.") | |