init app
Browse files- main.py +96 -0
- requirements.txt +1 -0
main.py
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import gradio as gr
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from gradio_client import Client
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clientGFPGAN = Client("leonelhs/GFPGAN")
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clientZeroScratches = Client("leonelhs/ZeroScratches")
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clientDeoldify = Client("leonelhs/deoldify")
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clientEnhanceLight = Client("leonelhs/Zero-DCE")
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clientZeroBackground = Client("leonelhs/ZeroBackground")
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clientFaceParser = Client("leonelhs/faceparser")
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def enhance_face(image):
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return clientGFPGAN.predict(image, "v1.4", "2", api_name="/predict")[1]
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def zero_scratches(image):
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return clientZeroScratches.predict(image, api_name="/predict")
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def colorize_photo(image):
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return clientDeoldify.predict(image, api_name="/predict")
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def enhance_light(image):
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return clientEnhanceLight.predict(image, api_name="/predict")
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def zero_background(image, new_bgr):
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return clientZeroBackground.predict(image, new_bgr, api_name="/predict")
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def parse_face(image):
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return clientFaceParser.predict(image, api_name="/predict")
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def mirror(x):
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return x
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footer = r"""
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<center>
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<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>
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</br>
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<a href="https://www.buymeacoffee.com/leonelhs">
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<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" />
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</a>
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</center>
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</br>
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<center><span>[email protected]</span></center>
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"""
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with gr.Blocks() as app:
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with gr.Tab("Face Shine"):
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with gr.Row():
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with gr.Column(scale=1):
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btn_hires = gr.Button(value="Enhance resolution")
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btn_eraser = gr.Button(value="Erase scratches")
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btn_color = gr.Button(value="Colorize photo")
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btn_light = gr.Button(value="Enhance light")
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with gr.Accordion("Clear background", open=False):
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btn_clear = gr.Button(value="Clear background")
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# chk_newbgr = gr.Checkbox(label="Change background")
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img_newbgr = gr.Image(label="Choose file for new background", type="filepath")
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with gr.Column(scale=4):
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with gr.Row():
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img_input = gr.Image(label="Input", type="filepath")
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img_output = gr.Image(label="Result", type="filepath", interactive=False)
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with gr.Row():
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btn_swap = gr.Button(value="Swap images")
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btn_reset = gr.Button("Clear")
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btn_hires.click(enhance_face, inputs=[img_input], outputs=[img_output])
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btn_eraser.click(zero_scratches, inputs=[img_input], outputs=[img_output])
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btn_color.click(colorize_photo, inputs=[img_input], outputs=[img_output])
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btn_light.click(enhance_light, inputs=[img_input], outputs=[img_output])
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btn_clear.click(zero_background, inputs=[img_input, img_newbgr], outputs=[img_output])
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btn_swap.click(mirror, inputs=[img_output], outputs=[img_input])
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btn_reset.click(lambda: None, None, img_input, queue=False)
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with gr.Tab("Settings"):
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with gr.Accordion("Real-ESRGAN: Practical Image/Video Restoration. ", open=False):
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gr.Radio(['v1.2', 'v1.3', 'v1.4', 'RestoreFormer'], type="value", label='version')
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with gr.Accordion("GFPGAN: Practical Face Restoration Algorithm", open=False):
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gr.Checkbox(label="Include false", info="Extra process for face enhancement")
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gr.Radio(['v1.2', 'v1.3', 'v1.4', 'RestoreFormer'], type="value", label='version')
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gr.Dropdown(
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["1", "2", "3", "4"], label="Scale", info="Select output scale"
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)
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gr.Button("Save settings")
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with gr.Row():
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gr.HTML(footer)
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app.launch()
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requirements.txt
ADDED
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@@ -0,0 +1 @@
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| 1 |
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gradio
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