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| from huggingface_hub import HfApi, ModelFilter, snapshot_download | |
| from huggingface_hub import ModelCard | |
| import json | |
| import os | |
| import time | |
| import shutil | |
| from src.submission.check_validity import is_model_on_hub, check_model_card, get_model_size | |
| from src.envs import DYNAMIC_INFO_REPO, DYNAMIC_INFO_FILE_PATH, API | |
| HF_TOKEN = os.environ.get("HF_TOKEN", None) | |
| TMP_FOLDER = "tmp_requests" | |
| snapshot_download( | |
| repo_id=DYNAMIC_INFO_REPO, local_dir=TMP_FOLDER, repo_type="dataset", tqdm_class=None, etag_timeout=30 | |
| ) | |
| # Get models | |
| start = time.time() | |
| models = list(API.list_models( | |
| filter=ModelFilter(task="text-generation"), | |
| full=False, | |
| cardData=True, | |
| fetch_config=True, | |
| )) | |
| print(f"Downloaded list of models in {time.time() - start:.2f} seconds") | |
| 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: | |
| continue | |
| model_cfg = models[model_id] | |
| data['likes'] = model_cfg.likes | |
| #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 | |
| still_on_hub, error, model_config = is_model_on_hub( | |
| model_name=model_id, revision=data.get("revision"), trust_remote_code=True, test_tokenizer=False | |
| ) | |
| # If the model doesn't have a model card or a license, we consider it's deleted | |
| if still_on_hub: | |
| try: | |
| if check_model_card(model_id)[0] is False: | |
| still_on_hub = False | |
| except Exception: | |
| still_on_hub = False | |
| data['still_on_hub'] = still_on_hub | |
| # Check if the model is a merge | |
| is_merge_from_metadata = False | |
| if still_on_hub: | |
| model_card = ModelCard.load(model_id) | |
| # Storing the model metadata | |
| tags = [] | |
| if model_card.data.tags: | |
| is_merge_from_metadata = "merge" in model_card.data.tags | |
| merge_keywords = ["mergekit", "merged model", "merge model", "merging"] | |
| # If the model is a merge but not saying it in the metadata, we flag it | |
| is_merge_from_model_card = any(keyword in model_card.text.lower() for keyword in merge_keywords) | |
| if is_merge_from_model_card: | |
| tags.append("merge") | |
| if not is_merge_from_metadata: | |
| tags.append("flagged:undisclosed_merge") | |
| if "moe" in model_card.data.tags: | |
| tags.append("moe") | |
| data["tags"] = tags | |
| with open(file_path, 'w') as f: | |
| json.dump(model_infos, f, indent=2) | |
| start = time.time() | |
| updated_ids = update_models(DYNAMIC_INFO_FILE_PATH, models) | |
| print(f"updated in {time.time() - start:.2f} seconds, updated ids: {len(updated_ids)}") | |
| 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.", | |
| ) | |
| shutil.rmtree(TMP_FOLDER) |