Update app.py

app.py

@@ -1,9 +1,11 @@
 import gradio as gr
 
 title = "Disaster tweets classification"
+
 description = "Text classification using DistilBERT fine-tuned on the Kaggle disaster tweets dataset"
+
 examples = [["Twelve feared killed in an air ambulance helicopter crash"], 
-            ["It's an apocalypse"], 
+            ["Emergency services called after 'strong' chemical smells"], 
             ["I love my new Tesla!"], 
             ["Wow social media really blew up after the Adele concert"], 
             ["Are you OK?"]]
@@ -11,7 +13,7 @@ examples = [["Twelve feared killed in an air ambulance helicopter crash"],
 interface = gr.Interface.load("huggingface/hkayesh/twitter-disaster-nlp",
             description=description,
             examples=examples,
-            theme="peach"
+            theme="huggingface"
 )
 
 interface.launch()