| import csv | |
| from datetime import datetime | |
| import os | |
| from typing import Optional | |
| import gradio as gr | |
| from huggingface_hub import HfApi, Repository | |
| HF_TOKEN = os.environ.get("HF_TOKEN") | |
| repo: Optional[Repository] = None | |
| 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) | |
| def run(a, b, c): | |
| return f"{a}, {b}, {c}" | |
| 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) | |