import gradio as gr
from multit2i import (
    load_models,
    find_model_list,
    infer_multi,
    save_gallery_images,
    change_model,
    get_model_info_md,
    loaded_models,
)


models = find_model_list("John6666", ["anime"], "", "downloads", 40)
load_models(models, 10)


css = """"""

with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", css=css) as demo:
    with gr.Column(): 
        model_name = gr.Dropdown(label="Select Model", choices=list(loaded_models.keys()), value=list(loaded_models.keys())[0], allow_custom_value=True)
        model_info = gr.Markdown(value=get_model_info_md(list(loaded_models.keys())[0]))
        image_num = gr.Slider(label="Number of Images", minimum=1, maximum=8, value=1, step=1)
        recom_prompt = gr.Checkbox(label="Recommended Prompt", value=True)
        prompt = gr.Text(label="Prompt", lines=1, max_lines=8, placeholder="1girl, solo, ...")
        run_button = gr.Button("Generate Image")
        results = gr.Gallery(label="Gallery", interactive=False, show_download_button=True, show_share_button=False,
                              container=True, format="png", object_fit="contain")
        image_files = gr.Files(label="Download", interactive=False)
        clear_results = gr.Button("Clear Gallery and Download")
    gr.Markdown(
        f"""This demo was created in reference to the following demos.
- [Nymbo/Flood](https://huggingface.co/spaces/Nymbo/Flood).
- [Yntec/ToyWorldXL](https://huggingface.co/spaces/Yntec/ToyWorldXL).
            """
    )
    gr.DuplicateButton(value="Duplicate Space")

    model_name.change(change_model, [model_name], [model_info], queue=False, show_api=False)
    gr.on(
        triggers=[run_button.click, prompt.submit],
        fn=infer_multi,
        inputs=[prompt, model_name, recom_prompt, image_num, results],
        outputs=[results],
        queue=True,
        show_progress="full",
        show_api=True,
    ).success(save_gallery_images, [results], [results, image_files], queue=False, show_api=False)
    clear_results.click(lambda: (None, None), None, [results, image_files], queue=False, show_api=False)

demo.queue()
demo.launch()