Kev09 commited on
Commit
b3c88ac
1 Parent(s): a822e92

Update app.py

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Files changed (1) hide show
  1. app.py +24 -12
app.py CHANGED
@@ -13,27 +13,39 @@ def greet(name):
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  return "Hello " + name + "!!"
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  def transformation(image):
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- print(image)
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- print( type(image) )
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- url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
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- # image = Image.open(requests.get(url, stream=True).raw)
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- model = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=4)
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- inputs = ImageLoader.load_image(image)
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- preds = model(inputs)
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- print("1 :",preds)
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- print( type(preds) )
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- prednumpy=preds.detach().numpy()
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  #preds=np.array(preds)
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- print("2 :",prednumpy)
 
 
 
 
 
 
 
 
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  ImageLoader.save_image(preds, './scaled_2x.png')
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  ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png')
 
 
 
 
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  # large_image = cartoon_upsampling_8x(image, 'a_8x_larger_output_image.png' )
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- return prednumpy
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  with gr.Blocks() as demo:
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  image1=gr.Image(type='filepath')
 
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  return "Hello " + name + "!!"
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  def transformation(image):
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+ # print(image)
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+ # print( type(image) )
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+ # url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
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+ # imagee = Image.open(requests.get(url, stream=True).raw)
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+ # model = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=4)
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+ # inputs = ImageLoader.load_image(imagee)
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+ # preds = model(inputs)
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+ # print("1 :",preds)
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+ # print( type(preds) )
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+ # prednumpy=preds.detach().numpy()
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  #preds=np.array(preds)
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+ # print("2 :",prednumpy)
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+ # ImageLoader.save_image(preds, './scaled_2x.png')
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+ # ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png')
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+
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+ url = 'https://paperswithcode.com/media/datasets/Set5-0000002728-07a9793f_zA3bDjj.jpg'
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+ image = Image.open(requests.get(url, stream=True).raw)
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+ model = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=2)
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+ inputs = ImageLoader.load_image(image)
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+ preds = model(inputs)
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  ImageLoader.save_image(preds, './scaled_2x.png')
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  ImageLoader.save_compare(inputs, preds, './scaled_2x_compare.png')
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+ prednumpy=preds.detach().numpy()
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+ return prednumpy
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+
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+
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  # large_image = cartoon_upsampling_8x(image, 'a_8x_larger_output_image.png' )
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+ # return prednumpy
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  with gr.Blocks() as demo:
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  image1=gr.Image(type='filepath')