kfahn commited on
Commit
f62d320
·
1 Parent(s): 6c6c9b7

Update app.py

Browse files

update app to only compute complex lines

Files changed (1) hide show
  1. app.py +8 -18
app.py CHANGED
@@ -87,9 +87,9 @@ model1 = Generator(3, 1, 3)
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  model1.load_state_dict(torch.load('model.pth', map_location=torch.device('cpu')))
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  model1.eval()
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- model2 = Generator(3, 1, 3)
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- model2.load_state_dict(torch.load('model2.pth', map_location=torch.device('cpu')))
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- model2.eval()
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  def predict(input_img, ver):
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  input_img = Image.open(input_img)
@@ -99,29 +99,19 @@ def predict(input_img, ver):
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  drawing = 0
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  with torch.no_grad():
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- if ver == 'Simple Lines':
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- drawing = model2(input_img)[0].detach()
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- else:
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  drawing = model1(input_img)[0].detach()
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  drawing = transforms.ToPILImage()(drawing)
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  return drawing
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- title="Image to Line Drawings - Complex and Simple Portraits and Landscapes"
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- examples=[
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- ['01.jpeg', 'Simple Lines'], ['02.jpeg', 'Simple Lines'], ['03.jpeg', 'Simple Lines'],
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- ['07.jpeg', 'Complex Lines'], ['08.jpeg', 'Complex Lines'], ['09.jpeg', 'Complex Lines'],
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- ['10.jpeg', 'Simple Lines'], ['11.jpeg', 'Simple Lines'], ['12.jpeg', 'Simple Lines'],
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- ['01.jpeg', 'Complex Lines'], ['02.jpeg', 'Complex Lines'], ['03.jpeg', 'Complex Lines'],
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- ['04.jpeg', 'Simple Lines'], ['05.jpeg', 'Simple Lines'], ['06.jpeg', 'Simple Lines'],
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- ['07.jpeg', 'Simple Lines'], ['08.jpeg', 'Simple Lines'], ['09.jpeg', 'Simple Lines'],
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- ['04.jpeg', 'Complex Lines'], ['05.jpeg', 'Complex Lines'], ['06.jpeg', 'Complex Lines'],
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- ['10.jpeg', 'Complex Lines'], ['11.jpeg', 'Complex Lines'], ['12.jpeg', 'Complex Lines'],
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- ['Upload Wild Horses 2.jpeg', 'Complex Lines']
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  ]
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  iface = gr.Interface(predict, [gr.inputs.Image(type='filepath'),
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- gr.inputs.Radio(['Complex Lines','Simple Lines'], type="value", default='Simple Lines', label='version')],
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  gr.outputs.Image(type="pil"), title=title,examples=examples)
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  iface.launch()
 
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  model1.load_state_dict(torch.load('model.pth', map_location=torch.device('cpu')))
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  model1.eval()
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+ # model2 = Generator(3, 1, 3)
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+ # model2.load_state_dict(torch.load('model2.pth', map_location=torch.device('cpu')))
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+ # model2.eval()
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  def predict(input_img, ver):
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  input_img = Image.open(input_img)
 
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  drawing = 0
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  with torch.no_grad():
 
 
 
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  drawing = model1(input_img)[0].detach()
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  drawing = transforms.ToPILImage()(drawing)
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  return drawing
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+ # title="Image to Coloring Page Generator"
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+ # examples=[
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+ # ['01.jpeg', 'Complex Lines'],
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+
 
 
 
 
 
 
 
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  ]
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  iface = gr.Interface(predict, [gr.inputs.Image(type='filepath'),
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+ gr.inputs.Radio(['Complex Lines'], type="value", default='Complex Lines', label='version')],
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  gr.outputs.Image(type="pil"), title=title,examples=examples)
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  iface.launch()