import spaces
import gradio as gr
import torch
from diffusers import BriaFiboEditPipeline
from PIL import Image
import tempfile

# Load the model on CPU at module level (ZeroGPU moves to CUDA inside @spaces.GPU)
print("Loading Fibo-Edit-RMBG model...")
pipe = BriaFiboEditPipeline.from_pretrained(
    "briaai/Fibo-Edit-RMBG",
    torch_dtype=torch.bfloat16,
)
print("Model loaded on CPU")

INSTRUCTION = {'edit_instruction':'Generate a detailed grayscale alpha matte. Map the opaque foreground to white and the background to black. Produce soft, anti-aliased grayscale gradients at the edges of the subject to represent fine details and transparency.'}


@spaces.GPU(duration=300)
def process(image, num_steps=10, guidance_scale=1.0):
    if image is None:
        return None, None

    pipe.to("cuda")
    mask = pipe(
        image=image,
        prompt=INSTRUCTION,
        num_inference_steps=int(num_steps),
        guidance_scale=guidance_scale,
    ).images[0]

    original_rgba = image.convert("RGBA")
    mask_gray = mask.convert("L")
    if mask_gray.size != original_rgba.size:
        mask_gray = mask_gray.resize(original_rgba.size, Image.Resampling.LANCZOS)
    original_rgba.putalpha(mask_gray)
    result = original_rgba

    # Save full-res result for download
    tmp = tempfile.NamedTemporaryFile(suffix=".png", delete=False)
    result.save(tmp.name, format="PNG")

    return (image.convert("RGBA"), result), tmp.name


with gr.Blocks(title="Fibo-Edit-RMBG - Background Removal") as demo:
    gr.Markdown("""
# Fibo-Edit-RMBG - Background Removal

Powered by [Bria AI's Fibo-Edit-RMBG model](https://huggingface.co/briaai/Fibo-Edit-RMBG)

This model performs background removal on any image

### How to use:
1. Upload your image
2. Adjust settings if needed (optional)
3. Click Process!
    """)

    with gr.Row():
        with gr.Column(scale=1):
            input_image = gr.Image(label="Input Image", type="pil", height=400)

            with gr.Accordion("Advanced Settings", open=False):
                num_steps = gr.Slider(
                    minimum=1,
                    maximum=50,
                    value=10,
                    step=1,
                    label="Number of Steps",
                )
                guidance_scale = gr.Slider(
                    minimum=1.0,
                    maximum=15.0,
                    value=1.0,
                    step=0.5,
                    label="Guidance Scale",
                )

            process_btn = gr.Button("Remove Background", variant="primary", size="lg")

        with gr.Column(scale=1):
            slider = gr.ImageSlider(
                label="Original vs Background Removed",
                type="pil",
                image_mode="RGBA",
                format="png",
                slider_position=50,
                max_height=500,
                container=True,
            )
            download_file = gr.File(label="Download Result (PNG with transparency)")

    gr.Markdown("""
---
### About Fibo-Edit-RMBG

Fibo-Edit-RMBG is built on [Fibo-Edit](https://huggingface.co/briaai/Fibo-Edit), an 8B parameter image editing model
that uses structured prompts for precise, deterministic editing.

- **Model**: [briaai/Fibo-Edit-RMBG](https://huggingface.co/briaai/Fibo-Edit-RMBG)
- **Architecture**: Based on FIBO with 8B parameters
- **License**: Non-commercial use ([CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/))

For commercial use, please [contact Bria AI](https://bria.ai/contact-us).
    """)

    process_btn.click(
        fn=process,
        inputs=[input_image, num_steps, guidance_scale],
        outputs=[slider, download_file],
    )

if __name__ == "__main__":
    demo.launch(show_error=True, theme=gr.themes.Soft(primary_hue="sky"))