import gradio as gr from infer import infer_image, infer_video input_image = gr.Image(type='pil', label='Input Image') input_model_image = gr.Radio([('x2', 2), ('x4', 4)], type="value", value=4, label="Model Upscale/Enhance Type") submit_image_button = gr.Button('Submit') output_image = gr.Image(type="filepath", label="Output Image") tab_img = gr.Interface( fn=infer_image, inputs=[input_image, input_model_image], outputs=output_image, title="Real-ESRGAN Pytorch", description="Gradio UI for Real-ESRGAN Pytorch version. To use it, simply upload your image and choose the model. Read more at the links below. Please click submit only once
Credits: [Nick088](https://linktr.ee/Nick088), Xinntao, Tencent, Geeve George, ai-forever, daroche

Github Repo

" ) input_video = gr.Video(label='Input Video') input_model_video = gr.Radio([('x2', 2), ('x4', 4), ('x8', 8)], type="value", value=2, label="Model Upscale/Enhance Type") submit_video_button = gr.Button('Submit') output_video = gr.Video(label='Output Video') tab_vid = gr.Interface( fn=infer_video, inputs=[input_video, input_model_video], outputs=output_video, title="Real-ESRGAN Pytorch", description="Gradio UI for Real-ESRGAN Pytorch version. To use it, simply upload your video and choose the model. Read more at the links below. Please click submit only once
Credits: [Nick088](https://linktr.ee/Nick088), Xinntao, Tencent, Geeve George, ai-forever, daroche

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data | Github Repo

" ) demo = gr.TabbedInterface([tab_img], ["Image"]) demo.launch(debug=True, show_error=True, share=True)