| import json | |
| from validation_submission.validation import validate_individual | |
| import gradio as gr | |
| from huggingface_hub import HfApi | |
| import os | |
| def validate_save_individual(data, error_icon, error_box, mode): | |
| individual, error_icon, error_box = validate_individual(data, error_icon, error_box, mode) | |
| if individual: | |
| print("pushing to hugging face") | |
| push_to_dataset_hf(individual.model_dump()) | |
| return individual, error_icon, error_box | |
| def push_to_dataset_hf(individual): | |
| token = os.environ.get("HF_TOKEN", None) | |
| api = HfApi(token=token) | |
| import tempfile | |
| f = tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) | |
| json.dump(individual, f) | |
| f.flush() | |
| f.close() | |
| path_in_repo = f"data/{individual['image_md5']}.json" | |
| # print(path_in_repo) | |
| # api.upload_file( | |
| # path_or_fileobj=f.name, | |
| # path_in_repo=path_in_repo, | |
| # repo_id="SDSC/digiwild-dataset", | |
| # repo_type="dataset", | |
| # ) | |