#!/usr/bin/env python

from __future__ import annotations

import gradio as gr
import torch

from app_depth import create_demo as create_demo_depth
from model import Model
from settings import ALLOW_CHANGING_BASE_MODEL, DEFAULT_MODEL_ID, SHOW_DUPLICATE_BUTTON

DESCRIPTION = "# ControlNet v1.1"

if not torch.cuda.is_available():
    DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"

model = Model(base_model_id=DEFAULT_MODEL_ID, task_name="Canny")

with gr.Blocks(css="style.css") as demo:
    gr.Markdown(DESCRIPTION)
    gr.Button(
        "Duplicate Space for private use",
        elem_id="duplicate-button",
        visible=SHOW_DUPLICATE_BUTTON,
    )

    # Define the inputs and outputs for the interface
    depth_inputs = [
        gr.Image(type="numpy", label="Input Image"),
        gr.Textbox(label="Prompt"),
        gr.Textbox(label="Additional Prompt"),
        gr.Textbox(label="Negative Prompt"),
        gr.Slider(label="Number of Images", minimum=1, maximum=10, step=1, value=1),
        gr.Slider(label="Image Resolution", minimum=256, maximum=1024, step=256, value=512),
        gr.Slider(label="Preprocess Resolution", minimum=128, maximum=512, step=1, value=384),
        gr.Slider(label="Number of Steps", minimum=1, maximum=100, step=1, value=20),
        gr.Slider(label="Guidance Scale", minimum=0.1, maximum=30.0, step=0.1, value=7.5),
        gr.Slider(label="Seed", minimum=0, maximum=1000000, step=1, value=0),
        gr.Radio(label="Preprocessor", choices=["Midas", "DPT", "None"], value="DPT"),
    ]

    depth_outputs = [
        gr.Gallery(label="Output Images"),
    ]

    interfaces = [
        gr.Interface(fn=model.process_depth, inputs=depth_inputs, outputs=depth_outputs, live=False),
    ]

    gr.TabbedInterface(interface_list=interfaces, tab_names=["Depth"])

    with gr.Accordion(label="Base model", open=False):
        with gr.Row():
            with gr.Column(scale=5):
                current_base_model = gr.Textbox(label="Current base model")
            with gr.Column(scale=1):
                check_base_model_button = gr.Button("Check current base model")
        with gr.Row():
            with gr.Column(scale=5):
                new_base_model_id = gr.Textbox(
                    label="New base model",
                    max_lines=1,
                    placeholder="runwayml/stable-diffusion-v1-5",
                    info="The base model must be compatible with Stable Diffusion v1.5.",
                    interactive=ALLOW_CHANGING_BASE_MODEL,
                )
            with gr.Column(scale=1):
                change_base_model_button = gr.Button("Change base model", interactive=ALLOW_CHANGING_BASE_MODEL)
        if not ALLOW_CHANGING_BASE_MODEL:
            gr.Markdown(
                """The base model is not allowed to be changed in this Space so as not to slow down the demo, but it can be changed if you duplicate the Space."""
            )

    check_base_model_button.click(
        fn=lambda: model.base_model_id,
        outputs=current_base_model,
        queue=False,
        api_name="check_base_model",
    )
    gr.update(
        triggers=[new_base_model_id.submit, change_base_model_button.click],
        fn=model.set_base_model,
        inputs=new_base_model_id,
        outputs=current_base_model,
        api_name=False,
    )

if __name__ == "__main__":
    demo.queue(max_size=20).launch()