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import gradio as gr
from gradio_client import Client
clientGFPGAN = Client("leonelhs/GFPGAN")
clientZeroScratches = Client("leonelhs/ZeroScratches")
clientDeoldify = Client("leonelhs/deoldify")
clientEnhanceLight = Client("leonelhs/Zero-DCE")
clientZeroBackground = Client("leonelhs/ZeroBackground")
clientFaceParser = Client("leonelhs/faceparser")
def enhance_face(image):
return clientGFPGAN.predict(image, "v1.4", "2", api_name="/predict")[1]
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):
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:
with gr.Tab("Face Shine"):
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")
with gr.Accordion("Clear background", open=False):
btn_clear = gr.Button(value="Clear background")
# chk_newbgr = gr.Checkbox(label="Change background")
img_newbgr = gr.Image(label="Choose file for new background", type="filepath")
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")
btn_reset = gr.Button("Clear")
btn_hires.click(enhance_face, inputs=[img_input], outputs=[img_output])
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, img_newbgr], outputs=[img_output])
btn_swap.click(mirror, inputs=[img_output], outputs=[img_input])
btn_reset.click(lambda: None, None, img_input, queue=False)
with gr.Tab("Settings"):
with gr.Accordion("Real-ESRGAN: Practical Image/Video Restoration. ", open=False):
gr.Radio(['v1.2', 'v1.3', 'v1.4', 'RestoreFormer'], type="value", label='version')
with gr.Accordion("GFPGAN: Practical Face Restoration Algorithm", open=False):
gr.Checkbox(label="Include false", info="Extra process for face enhancement")
gr.Radio(['v1.2', 'v1.3', 'v1.4', 'RestoreFormer'], type="value", label='version')
gr.Dropdown(
["1", "2", "3", "4"], label="Scale", info="Select output scale"
)
gr.Button("Save settings")
with gr.Row():
gr.HTML(footer)
app.launch()
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