app.py

import gradio as gr
import util
import process_image
from run_cmd import run_cmd

is_colab = util.is_google_colab()

title = "ESRGAN Upscaling With Custom Models"

with gr.Blocks(title=title, fill_height=True) as demo:
    gr.Markdown(
        f"""
    # {title}
    This space uses old ESRGAN architecture to upscale images, using models made by the community.

    Once the photo upscaled (*it can take a long time, this space only uses CPU*).
    """)

    gr.HTML(value="For faster upscaling using GPU: <a href='https://colab.research.google.com/drive/1QfOA6BBdL4NrUmx-9d-pjacxNfu81HQo#scrollTo=H7qo-6AWFbLH' target='_blank'><img class='colab_img' src='https://colab.research.google.com/assets/colab-badge.svg' alt='Open In Colab'></a> buy me a coffee (beer) if this helped 🍺😁")

    gr.HTML(value="<a href='https://ko-fi.com/Y8Y7GVAAF' target='_blank' style='display:block;margin-bottom:5px'><img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi1.png?v=3' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>")

    with gr.Row():
        with gr.Column():
            input_image = gr.Image(
                sources="upload",
                type="filepath",
                label="Image to upscale"
            )

            upscale_size = gr.Radio(
                ["x4", "x2"],
                label="Upscale by:",
                value="x4"
            )

            upscale_type = gr.Radio(
                ["Manga", "Anime", "Photo", "General"],
                label="Select the type of picture you want to upscale:",
                value="Manga"
            )

            with gr.Row():
                upscale_btn = gr.Button(value="Upscale", variant="primary")

        with gr.Column():
            output_image = gr.Image(
                type="pil",
                interactive=False,
                label="Upscaled image",
                elem_id="preview_img"
            )

            with gr.Row():
                out_file = gr.DownloadButton(
                    visible=False,
                )

    gr.HTML(value="<p><a href='https://upscale.wiki/wiki/Model_Database'>Model Database</a></p>")

    upscale_btn.click(
        process_image.inference,
        inputs=[input_image, upscale_size, upscale_type],
        outputs=[output_image, out_file]
    )

demo.queue()
demo.launch(debug=is_colab, share=is_colab, inline=is_colab)