app.py

import gradio as gr
from gradio_client import Client

clientGFPGAN = Client("leonelhs/GFPGAN")
clientSuperface = Client("leonelhs/superface")
clientZeroScratches = Client("leonelhs/ZeroScratches")
clientDeoldify = Client("leonelhs/deoldify")
clientEnhanceLight = Client("leonelhs/Zero-DCE")
clientZeroBackground = Client("leonelhs/ZeroBackground")
clientFaceParser = Client("leonelhs/faceparser")

context = dict()


def gfpgan_face(image):
    return clientGFPGAN.predict(image, "v1.4", "2", api_name="/predict")[1]


def enhance_face(image, upsampler, face_enhancer, scale):
    return clientSuperface.predict(image, upsampler, face_enhancer, scale, api_name="/predict")


def zero_scratches(image):
    return clientZeroScratches.predict(image, api_name="/predict")


def colorize_photo(image):
    return clientDeoldify.predict(image, api_name="/predict")


def enhance_light(image):
    return clientEnhanceLight.predict(image, api_name="/predict")


def zero_background(image, new_bgr=None):
    return clientZeroBackground.predict(image, new_bgr, api_name="/predict")


def parse_face(image):
    return clientFaceParser.predict(image, api_name="/predict")


def mirror(x):
    return x


footer = r"""
<center>
<p>This App is running on a CPU, help us to upgrade a GPU or just give us a <a href='https://github.com/leonelhs/face-shine' target='_blank'>Github ⭐</a></p>
</br>
<a href="https://www.buymeacoffee.com/leonelhs">
    <img src="https://img.buymeacoffee.com/button-api/?text=Buy me a coffee&emoji=&slug=leonelhs&button_colour=FFDD00&font_colour=000000&font_family=Cookie&outline_colour=000000&coffee_colour=ffffff" />
</a>
</center>
</br>
<center><span>[email protected]</span></center>
"""

with gr.Blocks() as app:
    gr.Request()

    with gr.Row():
        gr.HTML("<center><h1>Face Shine</h1></center>")

    with gr.Tab("Photo restorer"):
        with gr.Row():
            with gr.Column(scale=1):
                btn_hires = gr.Button(value="Enhance resolution")
                btn_eraser = gr.Button(value="Erase scratches")
                btn_color = gr.Button(value="Colorize photo")
                btn_light = gr.Button(value="Enhance light")
                btn_reset = gr.Button(value="Clear", variant="primary")

            with gr.Column(scale=4):
                with gr.Row():
                    img_input = gr.Image(label="Input", type="filepath")
                    img_output = gr.Image(label="Result", type="filepath", interactive=False)

                with gr.Row():
                    btn_swap = gr.Button(value="Swap images")

    with gr.Tab("Background") as tab_background:
        with gr.Row():
            with gr.Column(scale=1):
                btn_clear = gr.Button(value="Clear background")
                with gr.Accordion("New background", open=True):
                    btn_newbgr = gr.Button(value="Change background")
                    img_newbgr = gr.Image(label="Choose file for new background", type="filepath")
            with gr.Column(scale=4):
                with gr.Row():
                    img_input_bgr = gr.Image(label="Input", type="filepath")
                    img_output_bgr = gr.Image(label="Result", type="filepath", interactive=False)

    with gr.Tab("Settings"):
        with gr.Accordion("Image restoration settings", open=False):
            restorer = gr.Dropdown([
                'RealESRGAN_x2plus',
                'RealESRGAN_x4plus',
                'RealESRNet_x4plus',
                'AI-Forever_x2plus',
                'AI-Forever_x4plus',
                'RealESRGAN_x4plus_anime_6B',
                'realesr-animevideov3',
                'realesr-general-x4v3'],
                type="value", value='RealESRGAN_x4plus', label='General restoration algorithm', info="version")
            enhancer = gr.Dropdown([
                'No additional face process',
                'GFPGANv1.2',
                'GFPGANv1.3',
                'GFPGANv1.4',
                'RestoreFormer'],
                type="value", value='No additional face process', label='Special face restoration algorithm',
                info="version")
            rescale = gr.Dropdown(["1", "2", "3", "4"], type="value", value="4", label="Rescaling factor")
        with gr.Accordion("Logs info", open=False):
            text_logger = gr.Textbox(label="login", lines=5, show_label=False)
        gr.Button("Save settings")

    btn_hires.click(enhance_face, inputs=[img_input, restorer, enhancer, rescale],
                    outputs=[img_output, text_logger])
    btn_eraser.click(zero_scratches, inputs=[img_input], outputs=[img_output])
    btn_color.click(colorize_photo, inputs=[img_input], outputs=[img_output])
    btn_light.click(enhance_light, inputs=[img_input], outputs=[img_output])
    btn_clear.click(zero_background, inputs=[img_input_bgr], outputs=[img_output_bgr])
    btn_newbgr.click(zero_background, inputs=[img_input_bgr, img_newbgr], outputs=[img_output_bgr])
    btn_swap.click(mirror, inputs=[img_output], outputs=[img_input])
    btn_reset.click(lambda: None, None, img_input, queue=False)
    tab_background.select(mirror, inputs=[img_input], outputs=[img_input_bgr])

    with gr.Row():
        gr.HTML(footer)

app.launch(debug=True, enable_queue=True)