from huggingface_hub import ModelFilter, snapshot_download from huggingface_hub import ModelCard import json import time from src.submission.check_validity import is_model_on_hub, check_model_card, get_model_tags from src.envs import DYNAMIC_INFO_REPO, DYNAMIC_INFO_PATH, DYNAMIC_INFO_FILE_PATH, API, H4_TOKEN def update_models(file_path, models): """ Search through all JSON files in the specified root folder and its subfolders, and update the likes key in JSON dict from value of input dict """ with open(file_path, "r") as f: model_infos = json.load(f) for model_id, data in model_infos.items(): if model_id not in models: data['still_on_hub'] = False data['likes'] = 0 data['downloads'] = 0 data['created_at'] = "" continue model_cfg = models[model_id] data['likes'] = model_cfg.likes data['downloads'] = model_cfg.downloads data['created_at'] = str(model_cfg.created_at) #data['params'] = get_model_size(model_cfg, data['precision']) data['license'] = model_cfg.card_data.license if model_cfg.card_data is not None else "" # Is the model still on the hub? model_name = model_id if model_cfg.card_data is not None and model_cfg.card_data.base_model is not None: if isinstance(model_cfg.card_data.base_model, str): model_name = model_cfg.card_data.base_model # for adapters, we look at the parent model still_on_hub, _, _ = is_model_on_hub( model_name=model_name, revision=data.get("revision"), trust_remote_code=True, test_tokenizer=False, token=H4_TOKEN ) # If the model doesn't have a model card or a license, we consider it's deleted if still_on_hub: try: status, _, model_card = check_model_card(model_id) if status is False: still_on_hub = False except Exception: model_card = None still_on_hub = False data['still_on_hub'] = still_on_hub tags = get_model_tags(model_card, model_id) if still_on_hub else [] data["tags"] = tags with open(file_path, 'w') as f: json.dump(model_infos, f, indent=2) def update_dynamic_files(): """ This will only update metadata for models already linked in the repo, not add missing ones. """ snapshot_download( repo_id=DYNAMIC_INFO_REPO, local_dir=DYNAMIC_INFO_PATH, repo_type="dataset", tqdm_class=None, etag_timeout=30 ) print("UPDATE_DYNAMIC: Loaded snapshot") # Get models start = time.time() models = list(API.list_models( filter=ModelFilter(task="text-generation"), full=False, cardData=True, fetch_config=True, )) id_to_model = {model.id : model for model in models} print(f"UPDATE_DYNAMIC: Downloaded list of models in {time.time() - start:.2f} seconds") start = time.time() update_models(DYNAMIC_INFO_FILE_PATH, id_to_model) print(f"UPDATE_DYNAMIC: updated in {time.time() - start:.2f} seconds") API.upload_file( path_or_fileobj=DYNAMIC_INFO_FILE_PATH, path_in_repo=DYNAMIC_INFO_FILE_PATH.split("/")[-1], repo_id=DYNAMIC_INFO_REPO, repo_type="dataset", commit_message=f"Daily request file update.", ) print(f"UPDATE_DYNAMIC: pushed to hub")