import gradio as gr
import os, requests
import numpy as np
from inference import setup_model, colorize_grayscale, predict_anchors

## local |  remote
RUN_MODE = "remote"
if RUN_MODE != "local":
    os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/disco-beta.pth.rar -q")
    os.rename("disco-beta.pth.rar", "./checkpoints/disco-beta.pth.rar")
    ## examples
    os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/01.jpg -q")
    os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/02.jpg -q")
    os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/03.jpg -q")
    os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/04.jpg -q")

## step 1: set up model
device = "cpu"
checkpt_path = "checkpoints/disco-beta.pth.rar"
colorizer, colorLabeler = setup_model(checkpt_path, device=device)


def click_colorize(rgb_img, hint_img, n_anchors, is_high_res, is_editable):
    if hint_img is None:
        hint_img = rgb_img
    output = colorize_grayscale(colorizer, colorLabeler, rgb_img, hint_img, n_anchors, True, is_editable, device)
    output1 = colorize_grayscale(colorizer, colorLabeler, rgb_img, hint_img, n_anchors, False, is_editable, device)
    return output, output1


def click_predanchors(rgb_img, n_anchors, is_high_res, is_editable):
    output = predict_anchors(colorizer, colorLabeler, rgb_img, n_anchors, is_high_res, is_editable, device)
    return output


## step 2: configure interface
def switch_states(is_checked):
    if is_checked:
        return gr.Image.update(visible=True), gr.Button.update(visible=True)
    else:
        return gr.Image.update(visible=False), gr.Button.update(visible=False)


demo = gr.Blocks(title="DISCO", delete_cache=(1800, 3600),)
with demo:
    gr.Markdown(value="""
                    **Gradio demo for DISCO: Disentangled Image Colorization via Global Anchors**. Check our [project page](https://menghanxia.github.io/projects/disco.html) 😛.
                    """)
    with gr.Row():
        with gr.Column():
            with gr.Row():
                Image_input = gr.Image(type="numpy", label="Input", interactive=True)
                Image_anchor = gr.Image(type="numpy", label="Anchor", interactive=True, visible=False)
            with gr.Row():
                Num_anchor = gr.Number(precision=0, value=8, label="Num. of anchors (3~14)")
                Radio_resolution = gr.Radio(type="index", choices=["Low (256x256)", "High (512x512)"], \
                                                label="Colorization resolution (Low is more stable)", value="Low (256x256)")
            with gr.Row():
                Ckeckbox_editable = gr.Checkbox(value=False, label='Show editable anchors')
                Button_show_anchor = gr.Button(value="Predict anchors", visible=False)
            Button_run = gr.Button(value="Colorize")
        with gr.Column():
            Image_output = [gr.Image(type="numpy", label="Output", format="png"), gr.Image(type="numpy", label="Output", format="png")]

    Ckeckbox_editable.change(fn=switch_states, inputs=Ckeckbox_editable, outputs=[Image_anchor, Button_show_anchor])
    Button_show_anchor.click(fn=click_predanchors, inputs=[Image_input, Num_anchor, Radio_resolution, Ckeckbox_editable], outputs=Image_anchor)
    Button_run.click(fn=click_colorize, inputs=[Image_input, Image_anchor, Num_anchor, Radio_resolution, Ckeckbox_editable], \
                    outputs=Image_output)
    
    ## guiline
    gr.Markdown(value="""    
                    🔔**Guideline**
                    1. Upload your image or select one from the examples.
                    2. Set up the arguments: "Num. of anchors" and "Colorization resolution".
                    3. Run the colorization (two modes supported):
                        - 📀Automatic mode: **Click** "Colorize" to get the automatically colorized output.
                        - ✏️Editable mode: **Check** ""Show editable anchors"; **Click** "Predict anchors"; **Redraw** the anchor colors (only anchor region will be used); **Click** "Colorize" to get the result.
                    """)
    if RUN_MODE != "local":
        gr.Examples(examples=[
                    ['01.jpg', 8, "Low (256x256)"],
                    ['02.jpg', 8, "Low (256x256)"],
                    ['03.jpg', 8, "Low (256x256)"],
                    ['04.jpg', 8, "Low (256x256)"],
                    ], 
                    inputs=[Image_input,Num_anchor,Radio_resolution], outputs=[Image_output], label="Examples", cache_mode="lazy",)
    gr.HTML(value="""
                <p style="text-align:center; color:orange"><a href='https://menghanxia.github.io/projects/disco.html' target='_blank'>DISCO Project Page</a> | <a href='https://github.com/MenghanXia/DisentangledColorization' target='_blank'>Github Repo</a></p>
                    """)


if RUN_MODE == "local":
    demo.launch(server_name='9.134.253.83',server_port=7788)
else:
    demo.queue()
    demo.launch(show_error=True)