hf_upload.py

import os
from huggingface_hub import HfApi, login

# 1. Login to Hugging Face
print("Please provide your Hugging Face WRITE token.")
login()

api = HfApi()
repo_id = "codernotme/kataria_optical"

# 2. Upload only the necessary model files
files_to_upload = {
    "face_shape_model.pkl": "face_shape_model.pkl",
    "lbfmodel.yaml": "lbfmodel.yaml"
}

print(f"Uploading model files to https://huggingface.co/{repo_id}...")

for local_file, repo_path in files_to_upload.items():
    if os.path.exists(local_file):
        print(f"Uploading {local_file}...")
        api.upload_file(
            path_or_fileobj=local_file,
            path_in_repo=repo_path,
            repo_id=repo_id,
            repo_type="model"
        )
    else:
        print(f"Error: {local_file} not found in ai_service directory!")

print("\nDone! Now your code can pull the model from Hugging Face.")