import gradio as gr

def generate_from_latents(prompt, apply_edge_loss=False):
    # ... [All your processing, including the loop]
    
    # Generate image without edge loss
    image_without_loss = latents_to_pil(latents)[0]
    
    if apply_edge_loss:
        # Apply the edge (Laplacian) loss and regenerate the image
        # [Your logic for applying the edge loss and regenerating the image goes here]
        # You might run another loop similar to the one you have but with the edge loss applied.
        image_with_loss = latents_to_pil(latents_with_loss)[0]
    else:
        image_with_loss = image_without_loss  # Or keep it the same if not applying edge loss

    return image_without_loss, image_with_loss

# Define the Gradio interface
iface = gr.Interface(
    fn=generate_from_latents, 
    inputs=[
        gr.inputs.Textbox(default="Canvas showing moonlight in night", label="Input Prompt"),
        gr.inputs.Checkbox(label="Apply Edge Loss")
    ], 
    outputs=[
        gr.outputs.Image(plot=True, label="Without Edge Loss"),
        gr.outputs.Image(plot=True, label="With Edge Loss")
    ]
)

iface.launch()