src/utils/upload_best_pt_to_HF.py

from dotenv import load_dotenv
from huggingface_hub import HfApi
import os

load_dotenv()

token = os.getenv("HF_TOKEN")
if token is None:
    raise RuntimeError("HF_TOKEN not found. Check your .env file.")

repo_id = "anilegin/lightweight-diffusion-vae"

api = HfApi(token=token)

api.upload_file(
    path_or_fileobj="/leonardo_scratch/large/userexternal/aegin000/models/vae/best.pt",
    path_in_repo="best.pt",
    repo_id=repo_id,
    repo_type="model",
    token=token,
    commit_message="Replace best.pt with inference-only VAE weights",
)

print("Uploaded clean best.pt to Hugging Face.")