Update app.py

app.py

@@ -67,12 +67,12 @@ def gray_scaled(inp_img):
 
 def transform_mymodel(content_image,style_image):
   # Convert to float32 numpy array, add batch dimension, and normalize to range [0, 1]
-  content_image=gray_scaled(content_image)
+  #content_image=gray_scaled(content_image)
   content_image = content_image.astype(np.float32)[np.newaxis, ...] / 255.0
   style_image = style_image.astype(np.float32)[np.newaxis, ...] / 255.0
  
   #Resizing image
-  style_image = tf.image.resize(style_image, (256, 256))
+  #style_image = tf.image.resize(style_image, (256, 256))
 
   # Stylize image
   outputs = model(tf.constant(content_image), tf.constant(style_image))
@@ -87,7 +87,7 @@ def gradio_intrface(mymodel):
   image1 = gr.inputs.Image() #CONTENT IMAGE
   image2 = gr.inputs.Image() #STYLE IMAGE
   stylizedimg=gr.outputs.Image() 
-  gr.Interface(fn=mymodel, inputs= [image1,image2] , outputs= stylizedimg,title='Style Transfer',theme='seafoam',examples=[['Content_Images/contnt12.jpg','VG516.jpg']]).launch()
+  gr.Interface(fn=mymodel, inputs= [image1,image2] , outputs= stylizedimg,title='Style Transfer',theme='seafoam',examples=[['Content_Images/contnt12.jpg','VG516.jpg']],article="**References**\n\n""<a href='https://www.tensorflow.org/hub/tutorials/tf2_arbitrary_image_stylization'</a>\n").launch()
 
 """The function will be launched both  Inline and Outline  where u need to add a content and style image."""