svjack commited on
Commit
5e23189
·
1 Parent(s): de7f3cd

Update app.py

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Files changed (1) hide show
  1. app.py +8 -2
app.py CHANGED
@@ -68,9 +68,15 @@ def perform_neural_transfer(content_image_input, style_image_input, super_resolu
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  stylized_image = tensor_to_image(stylized_image)
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  content_image_input = tensor_to_image(content_image_input)
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  stylized_image = stylized_image.resize(content_image_input.size)
 
 
 
 
 
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  if super_resolution_type is "none":
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  return stylized_image
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  else:
 
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  stylized_image = inference(stylized_image, super_resolution_type)
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  return stylized_image
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@@ -80,7 +86,7 @@ with gr.Blocks() as demo:
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  with gr.Row():
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  style_reference_input_gallery = gr.Gallery(list(style_urls.values()),
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  #width = 512,
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- height = 768 + 32,
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  label = "Style Image gallery (click to use)")
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  with gr.Column():
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  super_resolution_type = gr.Radio(["none" ,"base", "anime"], type="value", default="none", label="model used to super resolution the Image Transformed")
@@ -102,7 +108,7 @@ with gr.Blocks() as demo:
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  image_click, style_reference_input_gallery, style_reference_input_image
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  )
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- trans_button.click(perform_neural_transfer, [content_image_input, style_reference_input_image], trans_image_output)
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  gr.Examples(
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  [
 
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  stylized_image = tensor_to_image(stylized_image)
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  content_image_input = tensor_to_image(content_image_input)
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  stylized_image = stylized_image.resize(content_image_input.size)
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+
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+ print("super_resolution_type :")
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+ print(super_resolution_type)
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+ #print(super_resolution_type.value)
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+
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  if super_resolution_type is "none":
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  return stylized_image
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  else:
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+ print("call else :")
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  stylized_image = inference(stylized_image, super_resolution_type)
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  return stylized_image
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  with gr.Row():
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  style_reference_input_gallery = gr.Gallery(list(style_urls.values()),
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  #width = 512,
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+ height = 768 + 256,
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  label = "Style Image gallery (click to use)")
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  with gr.Column():
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  super_resolution_type = gr.Radio(["none" ,"base", "anime"], type="value", default="none", label="model used to super resolution the Image Transformed")
 
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  image_click, style_reference_input_gallery, style_reference_input_image
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  )
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+ trans_button.click(perform_neural_transfer, [content_image_input, style_reference_input_image, super_resolution_type], trans_image_output)
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  gr.Examples(
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  [