added lines of code

app.py

@@ -52,16 +52,23 @@ def classify_pokemon(img):
     return dict(zip(categories, map(float, probs)))
 
 # Gradio interface setup
+title = "Pokémon first gen classifier"
+description = "Based on the famous scene (Who's that Pokémon) of the pokemon tv show, this neural network accurately classifies a pokemon image."
 image = gr.Image(type='pil')  # Image size should match your training data size (e.g., 128x128)
 label = gr.Label()
 examples =  ['zapdos.jpg']
 
+
+
+
 # Set up Gradio interface
 intf = gr.Interface(
     fn=classify_pokemon,
     inputs=image,
     outputs=label,
-    examples=examples
+    examples=examples,
+    title=title,
+    description=description
 )
 
 # Launch the app