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| import csv | |
| from datetime import datetime | |
| import os | |
| from typing import Optional | |
| import gradio as gr | |
| from convert import convert | |
| from huggingface_hub import HfApi, Repository | |
| DATASET_REPO_URL = "https://huggingface.co/datasets/safetensors/conversions" | |
| DATA_FILENAME = "data.csv" | |
| DATA_FILE = os.path.join("data", DATA_FILENAME) | |
| HF_TOKEN = os.environ.get("HF_TOKEN") | |
| repo: Optional[Repository] = None | |
| # TODO | |
| if False and HF_TOKEN: | |
| repo = Repository(local_dir="data", clone_from=DATASET_REPO_URL, token=HF_TOKEN) | |
| def run(token: str, model_id: str) -> str: | |
| if token == "" or model_id == "": | |
| return """ | |
| ### Invalid input 🐞 | |
| Please fill a token and model_id. | |
| """ | |
| try: | |
| api = HfApi(token=token) | |
| is_private = api.model_info(repo_id=model_id).private | |
| print("is_private", is_private) | |
| commit_info, errors = convert(api=api, model_id=model_id) | |
| print("[commit_info]", commit_info) | |
| # save in a (public) dataset: | |
| # TODO False because of LFS bug. | |
| if False and repo is not None and not is_private: | |
| repo.git_pull(rebase=True) | |
| print("pulled") | |
| with open(DATA_FILE, "a") as csvfile: | |
| writer = csv.DictWriter( | |
| csvfile, fieldnames=["model_id", "pr_url", "time"] | |
| ) | |
| writer.writerow( | |
| { | |
| "model_id": model_id, | |
| "pr_url": commit_info.pr_url, | |
| "time": str(datetime.now()), | |
| } | |
| ) | |
| commit_url = repo.push_to_hub() | |
| print("[dataset]", commit_url) | |
| string = f""" | |
| ### Success 🔥 | |
| Yay! This model was successfully converted and a PR was open using your token, here: | |
| [{commit_info.pr_url}]({commit_info.pr_url}) | |
| """ | |
| if errors: | |
| string += "\nErrors during conversion:\n" | |
| string += "\n".join(f"Error while converting {filename}: {e}, skipped conversion" for filename, e in errors) | |
| return string | |
| except Exception as e: | |
| return f""" | |
| ### Error 😢😢😢 | |
| {e} | |
| """ | |
| DESCRIPTION = """ | |
| EXPERIMENTAL convertion which should use less disk to enable converting larger checkpoints. | |
| But potential issues on some weights sharing | |
| """ | |
| demo = gr.Interface( | |
| title="Convert any model to Safetensors and open a PR", | |
| description=DESCRIPTION, | |
| allow_flagging="never", | |
| article="Check out the [Safetensors repo on GitHub](https://github.com/huggingface/safetensors)", | |
| inputs=[ | |
| gr.Text(max_lines=1, label="your_hf_token"), | |
| gr.Text(max_lines=1, label="model_id"), | |
| ], | |
| outputs=[gr.Markdown(label="output")], | |
| fn=run, | |
| ).queue(max_size=10, concurrency_count=1) | |
| demo.launch(show_api=True) | |