import os

import gradio as gr

from background_replacer import replace_background

developer_mode = os.getenv('DEV_MODE', False)

DEFAULT_POSITIVE_PROMPT = "next to an idyllic blue pool"
DEFAULT_NEGATIVE_PROMPT = ""

EXAMPLES = [
    [
        "examples/black-sneakers-with-white-sole.jpg",
        "on a blanket, Great Lawn in Central Park, Bethesda Terrace in the distance, beautiful sunny summer day, commercial packaging photography",
        "people, litter, trash, crowds, messy",
    ],
    [
        "examples/DIY-beard-balm.jpg",
        "on a mossy rock, white wood anemone blossoms, Loch Ken, Scotland",
        "purple, wrong proportions",
    ],
    [
        "examples/dj-making-music-on-mixer.jpg",
        "midnight dance party at Miami Beach, string lights and bars behind",
        "",
    ],
    [
        "examples/jean-shorts-woman.jpg",
        "on the beach in Malibu, a five-star beachfront hotel in the background, magic hour in Malibu California",
        "",
    ],
]

INTRO = """
# SDXL Background Replacement for Product Images
_from your friends at 🛍️[Shopify](https://www.shopify.com/)_

Building an online store requires lots of high quality product and marketing images. This is an early demo of a background replacement tool built with Stable Diffusion XL that makes it easy to use your existing product images to make something new. Please be patient during peak demand. 😅

To use it, upload your product photo and describe the background you’d like to see in place of the original. Optionally, describe what you don’t want in the negative prompt field.
"""

MORE_INFO = """
### More information
- You can check our [FAQs here](https://huggingface.co/spaces/Shopify/background-replacement/blob/main/README.md#faqs)!
- We are also gathering resources from the community and sharing ideas [here](https://huggingface.co/spaces/Shopify/background-replacement/discussions).
- Shopify is on a mission to redefine commerce with AI. If you’re an AI or ML engineer looking to build the future of commerce, [join us](https://www.shopify.com/careers)!
"""


def generate(
    image,
    positive_prompt,
    negative_prompt,
    seed,
    depth_map_feather_threshold,
    depth_map_dilation_iterations,
    depth_map_blur_radius,
    progress=gr.Progress(track_tqdm=True)
):
    if image is None:
        return [None, None, None, None]

    options = {
        'seed': seed,
        'depth_map_feather_threshold': depth_map_feather_threshold,
        'depth_map_dilation_iterations': depth_map_dilation_iterations,
        'depth_map_blur_radius': depth_map_blur_radius,
    }

    return replace_background(image, positive_prompt, negative_prompt, options)


custom_css = """
    #image-upload {
        flex-grow: 1;
    }
    #params .tabs {
        display: flex;
        flex-direction: column;
        flex-grow: 1;
    }
    #params .tabitem[style="display: block;"] {
        flex-grow: 1;
        display: flex !important;
    }
    #params .gap {
        flex-grow: 1;
    }
    #params .form {
        flex-grow: 1 !important;
    }
    #params .form > :last-child{
        flex-grow: 1;
    }
"""

with gr.Blocks(css=custom_css) as iface:
    gr.Markdown(INTRO)

    with gr.Row():
        with gr.Column():
            image_upload = gr.Image(
                label="Product image",
                type="pil",
                elem_id="image-upload"
            )
            caption = gr.Label(
                label="Caption",
                visible=developer_mode
            )
        with gr.Column(elem_id="params"):
            with gr.Tab('Prompts'):
                positive_prompt = gr.Textbox(
                    label="Positive Prompt - describe what you'd like to see",
                    lines=3,
                    value=DEFAULT_POSITIVE_PROMPT
                )
                negative_prompt = gr.Textbox(
                    label="Negative Prompt - describe what you don't want to see",
                    lines=3,
                    value=DEFAULT_NEGATIVE_PROMPT
                )
            if developer_mode:
                with gr.Tab('Options'):
                    seed = gr.Number(
                        label="Seed",
                        precision=0,
                        value=0,
                        elem_id="seed",
                        visible=developer_mode
                    )
                    depth_map_feather_threshold = gr.Slider(
                        label="Depth map feather threshold",
                        value=128,
                        minimum=0,
                        maximum=255,
                        visible=developer_mode
                    )
                    depth_map_dilation_iterations = gr.Number(
                        label="Depth map dilation iterations",
                        precision=0,
                        value=10,
                        minimum=0,
                        visible=developer_mode
                    )
                    depth_map_blur_radius = gr.Number(
                        label="Depth map blur radius",
                        precision=0,
                        value=10,
                        minimum=0,
                        visible=developer_mode
                    )
            else:
                seed = gr.Number(value=-1, visible=False)
                depth_map_feather_threshold = gr.Slider(
                    value=128, visible=False)
                depth_map_dilation_iterations = gr.Number(
                    precision=0, value=10, visible=False)
                depth_map_blur_radius = gr.Number(
                    precision=0, value=10, visible=False)

    gen_button = gr.Button(value="Generate!", variant="primary")

    with gr.Tab('Results'):
        results = gr.Gallery(
            show_label=False,
            object_fit="contain",
            columns=4
        )

    if developer_mode:
        with gr.Tab('Generated'):
            generated = gr.Gallery(
                show_label=False,
                object_fit="contain",
                columns=4
            )

        with gr.Tab('Pre-processing'):
            pre_processing = gr.Gallery(
                show_label=False,
                object_fit="contain",
                columns=4
            )
    else:
        generated = gr.Gallery(visible=False)
        pre_processing = gr.Gallery(visible=False)

    gr.Examples(
        examples=EXAMPLES,
        inputs=[image_upload, positive_prompt, negative_prompt],
    )

    gr.Markdown(MORE_INFO)

    gen_button.click(
        fn=generate,
        inputs=[
            image_upload,
            positive_prompt,
            negative_prompt,
            seed,
            depth_map_feather_threshold,
            depth_map_dilation_iterations,
            depth_map_blur_radius
        ],
        outputs=[
            results,
            generated,
            pre_processing,
            caption
        ],
    )

iface.queue(api_open=False).launch(show_api=False)