Update app.py

app.py

@@ -14,18 +14,21 @@ cap_labels = (
     'Bayraktar TB2 UVAC drone', 
     'CH-5 Rainbow UVAC drone', 
     'G6 Rhino artillery', 
-    'Hermes 900 drone', 'Heron TP drone', 
+    'Hermes 900 drone', 
+    'Heron TP drone', 
     'Humvee vehicle', 
     'LAV-25 vehicle', 
     'Leopard 2 tank', 
     'M1 Abrams tank', 
     'M109 artillery', 
-    'M113 vehicle', 'M270 MLRS artillery', 
+    'M113 vehicle', 
+    'M270 MLRS artillery', 
     'MQ-9 Reaper UVAC drone', 
     'MRAP vehicle', 
     'RQ-4 Global Hawk UVAC drone', 
     'T-72 tank', 
-    'Type 99 tank', 'smerch artillery'
+    'Type 99 tank', 
+    'smerch artillery'
 )
 
 model = load_learner('models/ARMOR-classifier-v4.pkl')
@@ -48,5 +51,12 @@ examples = [
     ]
 
 #interface with i/o
-iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)
+iface = gr.Interface(
+            fn=recognize_image, 
+            inputs=image, 
+            outputs=label, 
+            examples=examples,
+            title="A.R.M.O.R - Armament Models Recognizer",
+            description="A comprehensive security measure image classification model that classifies (for now) 22 different types of common military armaments around the world posing threat to civilians on land."
+)
 iface.launch(inline=False) # share=True for colab