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import gradio as gr | |
from convert import convert | |
def run(token: str, model_id: str) -> str: | |
if token == "" or model_id == "": | |
return """ | |
### Invalid input π | |
Please fill a token and model_id. | |
""" | |
try: | |
pr_url = convert(token=token, model_id=model_id) | |
return f""" | |
### Success π₯ | |
Yay! This model was successfully converted and a PR was open using your token, here: | |
{pr_url} | |
""" | |
except Exception as e: | |
return f""" | |
### Error π’π’π’ | |
{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 π₯ | |
β οΈ For now only `pytorch_model.bin` files are supported but we'll extend in the future. | |
""" | |
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, | |
) | |
demo.launch() | |