ChristianHappy commited on
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63727e3
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1 Parent(s): eb1a98b

Update app.py

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  1. app.py +2 -2
app.py CHANGED
@@ -3,7 +3,7 @@ import gradio as gr
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  from infer import infer_image, infer_video
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  input_image = gr.Image(type='pil', label='Input Image')
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- input_model_image = gr.Radio([('x2', 2), ('x4', 4), ('x8', 8)], type="value", value=4, label="Model Upscale/Enhance Type")
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  submit_image_button = gr.Button('Submit')
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  output_image = gr.Image(type="filepath", label="Output Image")
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@@ -28,6 +28,6 @@ tab_vid = gr.Interface(
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  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 <br>Credits: [Nick088](https://linktr.ee/Nick088), Xinntao, Tencent, Geeve George, ai-forever, daroche <br><p style='text-align: center'><a href='https://arxiv.org/abs/2107.10833'>Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data</a> | <a href='https://github.com/ai-forever/Real-ESRGAN'>Github Repo</a></p>"
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  )
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- demo = gr.TabbedInterface([tab_img, tab_vid], ["Image", "Video"])
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  demo.launch(debug=True, show_error=True, share=True)
 
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  from infer import infer_image, infer_video
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  input_image = gr.Image(type='pil', label='Input Image')
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+ input_model_image = gr.Radio([('x2', 2), ('x4', 4)], type="value", value=4, label="Model Upscale/Enhance Type")
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  submit_image_button = gr.Button('Submit')
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  output_image = gr.Image(type="filepath", label="Output Image")
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  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 <br>Credits: [Nick088](https://linktr.ee/Nick088), Xinntao, Tencent, Geeve George, ai-forever, daroche <br><p style='text-align: center'><a href='https://arxiv.org/abs/2107.10833'>Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data</a> | <a href='https://github.com/ai-forever/Real-ESRGAN'>Github Repo</a></p>"
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  )
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+ demo = gr.TabbedInterface([tab_img], ["Image"])
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  demo.launch(debug=True, show_error=True, share=True)