import gradio as gr
import random

model = gr.load("models/Purz/face-projection")

def generate_image(text):
    return model(text)

examples = [
    ["Humanoid Cat Warrior, Full View"],
    ["Warhammer Sisterhood"],
    ["Future Robots war"],
    ["Fantasy dragon"]
]

css = """
#col-container {
    margin: 0 auto;
    max-width: 640px;
}
"""

with gr.Blocks(css=css) as interface:
    with gr.Column(elem_id="col-container"):
        gr.Markdown("# Text-to-Image Gradio Template")
        gr.Markdown("Sorry for the inconvenience. The model is currently running on the CPU, which might affect performance. We appreciate your understanding.")

        with gr.Row():
            prompt = gr.Textbox(
                label="Type here your imagination:",
                show_label=False,
                max_lines=1,
                placeholder="Type or click an example...",
                container=False,
            )

            run_button = gr.Button("Generate Image", scale=0, variant="primary")

        result = gr.Image(label="Generated Image", show_label=False)

        with gr.Accordion("Advanced Settings", open=False):
            negative_prompt = gr.Text(
                label="Negative prompt",
                max_lines=1,
                placeholder="Enter a negative prompt",
                visible=False,
            )

            with gr.Row():
                width = gr.Slider(
                    label="Width",
                    minimum=256,
                    maximum=1024,
                    step=32,
                    value=1024
                )
                height = gr.Slider(
                    label="Height",
                    minimum=256,
                    maximum=1024,
                    step=32,
                    value=1024
                )

            with gr.Row():
                guidance_scale = gr.Slider(
                    label="Guidance scale",
                    minimum=0.0,
                    maximum=10.0,
                    step=0.1,
                    value=0.0
                )

                num_inference_steps = gr.Slider(
                    label="Number of inference steps",
                    minimum=1,
                    maximum=50,
                    step=1,
                    value=2
                )

        gr.Examples(examples=examples, inputs=[prompt])

    gr.on(
        triggers=[run_button.click, prompt.submit],
        fn=generate_image,
        inputs=[prompt],
        outputs=[result],
    )

if __name__ == "__main__":
    interface.launch()