upload_to_hf.py

from huggingface_hub import HfApi, create_repo
import os

# Get token from environment or input
token = os.getenv("HF_TOKEN") or input("Enter your Hugging Face token: ").strip()

# Configuration
repo_name = "csrnet-keras-crowd-counting"
username = "Adiii2308"

# Create repository
repo_id = f"{username}/{repo_name}"
create_repo(repo_id, exist_ok=True, repo_type="model", token=token)

# Upload files
api = HfApi(token=token)
api.upload_folder(
    folder_path=".",
    repo_id=repo_id,
    repo_type="model",
    ignore_patterns=["*.pyc", "__pycache__", ".git", "data/*", ".ipynb_checkpoints/*"]
)

print(f"Model uploaded to: https://huggingface.co/{repo_id}")