Update app.py

app.py

@@ -81,15 +81,15 @@ def perform_neural_transfer(content_image_input, style_image_input, super_resolu
         return stylized_image
 
 with gr.Blocks() as demo:
-    gr.HTML("<h1><center> 🐑 Art Generation with Neural Style Transfer </center></h1>")
+    gr.HTML("<h1><center> 🐑 Art Generation with Neural Style Transfer Fixed by Real-ESRGAN </center></h1>")
 
     with gr.Row():
         style_reference_input_gallery = gr.Gallery(list(style_urls.values()),
                         #width = 512,
-                        height = 768 + 256,
+                        height = 768 + 128,
                         label = "Style Image gallery (click to use)")
         with gr.Column():
-            super_resolution_type = gr.Radio(["none" ,"base", "anime"], type="value", default="none", label="model used to super resolution the Image Transformed")
+            super_resolution_type = gr.Radio(["none" ,"base", "anime"], type="value", default="none", label="choose Real-ESRGAN model type used to super resolution the Image Transformed")
             style_reference_input_image = gr.Image(
                         label = "Style Image (you can upload yourself or click from left gallery)",
                         #width = 512,
@@ -112,10 +112,11 @@ with gr.Blocks() as demo:
 
     gr.Examples(
         [
-        [style_urls["Kanagawa great wave"], style_urls["Kadishman"]],
-        [style_urls["Derkovits woman head"], style_urls["Kadishman"]],
+        [style_urls["Kanagawa great wave"], style_urls["Kadishman"], "none"],
+        [style_urls["Derkovits woman head"], style_urls["Kadishman"], "base"],
+        [style_urls["Kadishman"], style_urls["Kadishman"], "anime"],
         ],
-        inputs = [style_reference_input_image, content_image_input],
+        inputs = [style_reference_input_image, content_image_input, super_resolution_type],
         label = "Transform Examples"
     )