| 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 |
| |
| if False and HF_TOKEN: |
| repo = Repository(local_dir="data", clone_from=DATASET_REPO_URL, token=HF_TOKEN) |
|
|
|
|
| def run(model_id: str, is_private: bool, token: Optional[str] = None) -> str: |
| if model_id == "": |
| return """ |
| ### Invalid input 🐞 |
| |
| Please fill a token and model_id. |
| """ |
| try: |
| if is_private: |
| api = HfApi(token=token) |
| else: |
| api = HfApi(token=HF_TOKEN) |
| hf_is_private = api.model_info(repo_id=model_id).private |
| if is_private and not hf_is_private: |
| |
| |
| api = HfApi(token=HF_TOKEN) |
|
|
| print("is_private", is_private) |
|
|
| commit_info, errors = convert(api=api, model_id=model_id) |
| print("[commit_info]", commit_info) |
|
|
|
|
| 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 = """ |
| The steps are the following: |
| |
| - Paste a read-access token from hf.co/settings/tokens. Read access is enough given that we will open a PR against the source repo. |
| - Input a model id from the Hub |
| - Click "Submit" |
| - That's it! You'll get feedback if it works or not, and if it worked, you'll get the URL of the opened PR 🔥 |
| |
| ⚠️ For now only `pytorch_model.bin` files are supported but we'll extend in the future. |
| """ |
|
|
| title="Convert any model to Safetensors and open a PR" |
| allow_flagging="never" |
|
|
| def token_text(visible=False): |
| return gr.Text(max_lines=1, label="your_hf_token", visible=visible) |
|
|
| with gr.Blocks(title=title) as demo: |
| description = gr.Markdown(f"""# {title}""") |
| description = gr.Markdown(DESCRIPTION) |
|
|
| with gr.Row() as r: |
| with gr.Column() as c: |
| model_id = gr.Text(max_lines=1, label="model_id") |
| is_private = gr.Checkbox(label="Private model") |
| token = token_text() |
| with gr.Row() as c: |
| clean = gr.ClearButton() |
| submit = gr.Button("Submit", variant="primary") |
|
|
| with gr.Column() as d: |
| output = gr.Markdown() |
|
|
| is_private.change(lambda s: token_text(s), inputs=is_private, outputs=token) |
| submit.click(run, inputs=[model_id, is_private, token], outputs=output, concurrency_limit=1) |
|
|
| demo.queue(max_size=10).launch(show_api=True, share=True) |
|
|
