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"""

This App is running on a CPU, help us to upgrade a GPU or just give us a Github ⭐



leonelhs@gmail.com
""" with gr.Blocks() as app: gr.Request() with gr.Row(): gr.HTML("

Face Shine

") 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") with gr.Accordion("New background", open=False): img_newbgr = gr.Image(label="Left empty for a transparent background", type="filepath") btn_newbgr = gr.Button(value="Change background") 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(): gr.ClearButton([img_input, img_output, img_newbgr], variant="stop") btn_swap = gr.Button(value="Swap images", variant="primary") 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_newbgr.click(zero_background, inputs=[img_input, img_newbgr], outputs=[img_output]) btn_swap.click(mirror, inputs=[img_output], outputs=[img_input]) with gr.Row(): gr.HTML(footer) app.launch(share=False, debug=True, enable_queue=True)