import gradio as gr

from convert import convert

DESCRIPTION = """

[Here is the full version of the converter by Huggingface official.](https://huggingface.co/spaces/diffusers/sdxl-to-diffusers)

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
- Input the filename from the root dir of the repo that you would like to convert, e.g. 'xl-pruned.safetensors'
- 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 🔥

⚠️ If you encounter weird error messages, please have a look into the Logs and feel free to open a PR to correct the error messages.

⚠️⚠️ Note that if you want your model to work with Huggingface's Inference API, you will need to create a model card (README.md) after the conversion.

If you have a good PC, you can use the following script in your local environment. [kiyohken2000 /
convert-safetensors-to-diffusers](https://github.com/kiyohken2000/convert-safetensors-to-diffusers)

"""

demo = gr.Interface(
    title="Convert any Stable Diffusion XL checkpoint to Diffusers and open a PR",
    description=DESCRIPTION,
    allow_flagging="never",
    article="Check out the [Diffusers repo on GitHub](https://github.com/huggingface/diffusers)",
    inputs=[
        gr.Text(max_lines=1, label="your_hf_token"),
        gr.Text(max_lines=1, label="model_id"),
        gr.Text(max_lines=1, label="filename"),
    ],
    outputs=[gr.Markdown(label="output")],
    fn=convert,
).queue(max_size=1)

demo.launch(show_api=True)