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Upload evoneural code and config to Hugging Face (no weights/outputs).
Run from project root: python -m scripts.upload_to_hf
Requires: pip install huggingface_hub, and HF token (huggingface-cli login or HF_TOKEN).
"""
from pathlib import Path
REPO_ID = "evoneural/evoneuralIn3D"
ROOT = Path(__file__).resolve().parent.parent
# Same exclusions as .huggingfaceignore so only code/config are uploaded
IGNORE_PATTERNS = [
".venv/*",
"venv/*",
"env/*",
"__pycache__/*",
"*.pyc",
"outputs/*",
"weights/*",
"*.obj",
"*.glb",
"*.png",
"TripoSR/*",
"*.ckpt",
"*.safetensors",
"*.bin",
".idea/*",
".vscode/*",
".streamlit/*",
"*.log",
"performance_log.txt",
".git/*",
]
def main() -> None:
from huggingface_hub import HfApi
api = HfApi()
# Create repo if it doesn't exist (needs write token)
api.create_repo(repo_id=REPO_ID, repo_type="model", exist_ok=True)
print(f"Uploading to {REPO_ID} (code and config only)...")
api.upload_folder(
folder_path=str(ROOT),
repo_id=REPO_ID,
repo_type="model",
ignore_patterns=IGNORE_PATTERNS,
)
print(f"Done. See https://huggingface.co/{REPO_ID}")
if __name__ == "__main__":
main()
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