import logging
import os
import tempfile
import time

import gradio as gr
import numpy as np
import rembg
import torch
from PIL import Image
from functools import partial

from tsr.system import TSR
from tsr.utils import remove_background, resize_foreground, to_gradio_3d_orientation

# HF_TOKEN = os.getenv("HF_TOKEN")

HEADER = """
"""

if torch.cuda.is_available():
    device = "cuda:0"
else:
    device = "cpu"

d = os.environ.get("DEVICE", None)
if d!= None:
    device = d 

model = TSR.from_pretrained(
    "stabilityai/TripoSR",
    config_name="config.yaml",
    weight_name="model.ckpt",
#    token=HF_TOKEN
)
model.renderer.set_chunk_size(131072)
model.to(device)

rembg_session = rembg.new_session()


def check_input_image(input_image):
    if input_image is None:
        raise gr.Error("No image uploaded!")


def preprocess(input_image, do_remove_background, foreground_ratio):
    def fill_background(image):
        image = np.array(image).astype(np.float32) / 255.0
        image = image[:, :, :3] * image[:, :, 3:4] + (1 - image[:, :, 3:4]) * 0.5
        image = Image.fromarray((image * 255.0).astype(np.uint8))
        return image

    if do_remove_background:
        image = input_image.convert("RGB")
        image = remove_background(image, rembg_session)
        image = resize_foreground(image, foreground_ratio)
        image = fill_background(image)
    else:
        image = input_image
        if image.mode == "RGBA":
            image = fill_background(image)
    return image


def generate(image):
    scene_codes = model(image, device=device)
    mesh = model.extract_mesh(scene_codes)[0]
    mesh = to_gradio_3d_orientation(mesh)
    mesh_path = tempfile.NamedTemporaryFile(suffix=".obj", delete=False)
    mesh_path2 = tempfile.NamedTemporaryFile(suffix=".glb", delete=False)
    mesh.export(mesh_path.name)
    mesh.export(mesh_path2.name)
    return mesh_path.name, mesh_path2.name


def run_example(image_pil):
    preprocessed = preprocess(image_pil, False, 0.9)
    mesh_name, mesn_name2 = generate(preprocessed)
    return preprocessed, mesh_name, mesn_name2


class CustomTheme(gr.themes.Base):
    def __init__(self):
        super().__init__()
        self.primary_hue = "#191a1e"
        self.background_fill_primary = "#191a1e"
        self.background_fill_secondary = "#191a1e"
        self.background_fill_tertiary = "#191a1e"
        self.text_color_primary = "#FFFFFF"
        self.text_color_secondary = "#FFFFFF"
        self.text_color_tertiary = "#FFFFFF"
        self.input_background_fill = "#191a1e"
        self.input_text_color = "#FFFFFF"


css = """
/* Скрываем нижний колонтитул */
footer {
    visibility: hidden;
    height: 0;
    margin: 0;
    padding: 0;
    overflow: hidden;
}
@import url('https://fonts.googleapis.com/css2?familyPoppins:wght@400;500;700&display=swap');
/* Применяем шрифты */
body, input, button, textarea, select,.gr-button {
    font-family: 'Poppins', sans-serif;
    background-color: #191a1e!important;
    color: #FFFFFF;
}
/* Настройки заголовков */
h1, h2, h3, h4, h5, h6 {
    font-family: 'Poppins', sans-serif;
    font-weight: 700;
    color: #FFFFFF;
}
/* Стиль для текстовых полей и кнопок */
input[type="text"], textarea {
    background-color: #191a1e!important;
    color: #FFFFFF;
    border: 1px solid #FFFFFF;
}
/* Цвет кнопки Generate */
.generate-button {
    background-color: #5271FF!important;
    color: #FFFFFF!important;
    border: none;
    font-weight: bold;
}
.generate-button:hover {
    background-color: #405BBF!important; /* Цвет при наведении */
/* Выравнивание элементов */
.drop-image-container {
    display: flex;
    flex-direction: column;
    align-items: center;
}
.drop-image,.processed-image {
    margin-bottom: 20px;
}
.foreground-ratio-container {
    margin-top: 20px;
    margin-bottom: 20px;
}
.generate-button {
    margin-top: 20px;
    margin-left: auto;
    margin-right: auto;
}
"""

with gr.Blocks(theme=CustomTheme(), css=css) as demo:
    with gr.Column(elem_id="col-container"):
        gr.Markdown("**Input Image**", elem_classes="prompt-text")

        with gr.Row():
            input_image = gr.Image(
                label="",
                image_mode="RGBA",
                sources="upload",
                type="pil",
                elem_id="content_image",
                width=500,  # Увеличена ширина входного изображения
            )
            with gr.Column():
                do_remove_background = gr.Checkbox(
                    label="Remove Background",
                    value=True,
                )
                foreground_ratio = gr.Slider(
                    label="Foreground Ratio",
                    minimum=0.5,
                    maximum=1.0,
                    value=0.85,
                    step=0.05,
                )

        processed_image = gr.Image(label="Processed Image", interactive=False)

        with gr.Row():
            submit = gr.Button(
                "Generate",
                scale=0,
                variant="primary",
                elem_classes="generate-button",
            )

        with gr.Tab("obj"):
            output_model = gr.Model3D(
                label="Output Model",
                interactive=False,
            )
        with gr.Tab("glb"):
            output_model2 = gr.Model3D(
                label="Output Model",
                interactive=False,
            )

    submit.click(fn=check_input_image, inputs=[input_image]).success(
        fn=preprocess,
        inputs=[input_image, do_remove_background, foreground_ratio],
        outputs=[processed_image],
    ).success(
        fn=generate,
        inputs=[processed_image],
        outputs=[output_model, output_model2],
    )

demo.queue(max_size=10)
demo.launch()