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from glob import glob |
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import gradio as gr |
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from gradio_client import Client |
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from utils import make_flatten_background |
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REPO_ID = "leonelhs/faceshine" |
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clients = { |
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"GFPGAN": "leonelhs/GFPGAN", |
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"ZeroScratches": "leonelhs/ZeroScratches", |
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"Deoldify": "leonelhs/deoldify", |
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"EnhanceLight": "leonelhs/Zero-DCE", |
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"ZeroBackground": "leonelhs/rembg", |
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} |
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def load_client(space): |
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try: |
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return Client(space) |
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except ValueError as err: |
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print(err) |
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logger.value.append(f"Space: {space}, log: {err}") |
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pass |
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def gfpgan_face(image, version, scale): |
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return clients["GFPGAN"].predict(image, version, scale, fn_index=0)[0] |
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def zero_scratches(image): |
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return clients["ZeroScratches"].predict(image, api_name="/predict") |
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def colorize_photo(image): |
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return clients["Deoldify"].predict(image, api_name="/predict") |
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def enhance_light(image): |
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return clients["EnhanceLight"].predict(image, api_name="/predict") |
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def zero_background(image, new_bgr=None): |
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img, mask = clients["ZeroBackground"].predict(image, "U2NET Human Seg", False, fn_index=9) |
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return make_flatten_background(img, mask) |
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def parse_face(image): |
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return clients["FaceParser"].predict(image, api_name="/predict") |
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def mirror(x): |
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return x |
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def active_first(): |
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return gr.Tabs.update(selected=0) |
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def clear(): |
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return None, None |
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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(title="Face Shine") as app: |
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logger = gr.State(value=[]) |
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for client, endpoint in clients.items(): |
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clients[client] = load_client(endpoint) |
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with gr.Row(): |
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gr.HTML("<center><h1>Face Shine</h1></center>") |
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with gr.Tabs() as tabs: |
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with gr.TabItem("Photo restorer", id=0): |
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with gr.Row(equal_height=False): |
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with gr.Column(scale=1): |
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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_hires = gr.Button(value="Enhance face") |
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btn_light = gr.Button(value="Enhance light") |
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btn_clear = gr.Button(value="Flatten background") |
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with gr.Column(scale=2): |
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with gr.Row(): |
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img_input = gr.Image(label="Input", type="filepath") |
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with gr.Row(): |
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btn_reset = gr.Button(value="Reset", variant="stop") |
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btn_swap = gr.Button(value="Ok", variant="primary") |
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with gr.Column(scale=2): |
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with gr.Row(): |
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img_output = gr.Image(label="Result", type="filepath", interactive=False) |
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with gr.TabItem("Examples", id=1): |
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gr.Examples(examples=glob("lowres/*"), inputs=[img_input], label="Low resolution") |
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gr.Examples(examples=glob("gray/*"), inputs=[img_input], label="Gray scale") |
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gr.Examples(examples=glob("scratch/*"), inputs=[img_input], label="Scratched") |
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gr.Button(value="Ok", variant="primary").click(active_first, None, tabs) |
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with gr.TabItem("Settings", id=2): |
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with gr.Accordion("Image restoration settings", open=False): |
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enhancer = gr.Dropdown(['v1.2', 'v1.3', 'v1.4', 'RestoreFormer'], |
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label='GFPGAN face restoration algorithm', |
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type="value", value='RestoreFormer', |
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info="version") |
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rescale = gr.Dropdown(["1", "2", "3", "4"], |
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type="value", value="2", label="Rescaling factor") |
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with gr.Accordion("Logs info", open=False): |
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text_logger = gr.Textbox(label="login", lines=5, show_label=False) |
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gr.Button("Save settings") |
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btn_hires.click(gfpgan_face, inputs=[img_input, enhancer, rescale], 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], outputs=[img_output]) |
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btn_swap.click(mirror, inputs=[img_output], outputs=[img_input]) |
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btn_reset.click(clear, outputs=[img_input, img_output]) |
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with gr.Row(): |
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gr.HTML(footer) |
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app.launch(share=False, debug=True, show_error=True) |
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app.queue() |
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