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from txt2img import StableDiffusionMGX
import gradio as gr


def main():
    # Note: This will load the models, which can take several minutes
    sd = StableDiffusionMGX()

    def gr_wrapper(prompt, negative_prompt, steps, seed, scale):
        result = sd.run(str(prompt), str(negative_prompt), int(steps),
                        int(seed), float(scale))
        return StableDiffusionMGX.convert_to_rgb_image(result)

    demo = gr.Interface(
        gr_wrapper,
        [
            gr.Textbox(value="a photograph of an astronaut riding a horse",
                       label="Prompt"),
            gr.Textbox(value="", label="Negative prompt (Optional)"),
            gr.Slider(1, 100, step=1, value=20, label="Number of steps"),
            gr.Textbox(value=13, label="Random seed"),
            gr.Slider(1, 20, step=0.1, value=7.0, label="Guidance scale"),
        ],
        "image",
    )
    demo.launch()


if __name__ == "__main__":
    main()