deploy_to_hf.py

from huggingface_hub import HfApi, create_repo
import os

def deploy():
    api = HfApi()
    username = api.whoami()["name"]
    repo_name = "CNN-CIFAR10-Classifier"
    repo_id = f"{username}/{repo_name}"
    
    print(f"Deploying to Space: {repo_id}")
    
    # Clean up existing repo to free quota
    try:
        from huggingface_hub import delete_repo
        print("Deleting existing repository to ensure clean state...")
        delete_repo(repo_id, repo_type="space")
        print("Repository deleted.")
    except Exception as e:
        print(f"Repository deletion skipped or failed (might not exist): {e}")

    # Create the Space
    try:
        create_repo(repo_id, repo_type="space", space_sdk="docker", private=False)
        print("Space repository created.")
    except Exception as e:
        print(f"Creation error: {e}")

    # Determine ignore patterns
    ignore_patterns = [
        ".git*", 
        ".venv*", 
        "__pycache__*", 
        "*.pyc", 
        ".DS_Store",
        "data/*",      # Exclude dataset
        "MNIST/*",     # Exclude unrelated folder
        "uploads/*"    # Exclude user uploads
    ]

    print("Uploading files...")
    api.upload_folder(
        folder_path=".",
        repo_id=repo_id,
        repo_type="space",
        ignore_patterns=ignore_patterns,
        commit_message="Deploying CNN App (clean)"
    )
    print(f"Successfully uploaded files to https://huggingface.co/spaces/{repo_id}")

if __name__ == "__main__":
    deploy()