Update app.py

app.py

@@ -6,6 +6,7 @@ import numpy as np
 
 model = hub.load('https://tfhub.dev/google/magenta/arbitrary-image-stylization-v1-256/2')
 
+# Function to execute
 def style_transfer(content_img, style_img):
     content_img = tf.image.resize(tf.convert_to_tensor(content_img,tf.float32)[tf.newaxis,...] / 255.,(512,512),preserve_aspect_ratio=True)
     style_img = tf.convert_to_tensor(style_img,tf.float32)[tf.newaxis,...] / 255.
@@ -14,12 +15,20 @@ def style_transfer(content_img, style_img):
     return Image.fromarray(np.uint8(generated_img[0]*255))
 
 
+# Metadata
 title = "Neural Style Transfer"
+description = "Transform your photos into stunning works of art with our Neural Style Transfer app. Simply upload your content image and style image, and watch as the AI-powered model applies the artistic style of your choice to your photos. Unleash your creativity and turn ordinary images into extraordinary masterpieces!"
+
+# Define labels for the input images
+input_labels = ["Content/Base Image", "Style Image"]
+
 
 interface = gr.Interface(fn=style_transfer,
                             inputs=["image", "image"],
                             outputs=["image"],
-                            title=title
+                            input_labels=input_labels,
+                            title=title,
+                            description=description
                         )
 
 interface.launch()