Update app.py

app.py

@@ -5,10 +5,10 @@ title = "Disaster tweets classification"
 description = "Text classification using DistilBERT fine-tuned on the Kaggle disaster tweets dataset. \n\nLabels:\n- LABEL_1 - About disaster \n- LABEL_0 - Not about disaster"
 
 examples = [["Twelve feared killed in an air ambulance helicopter crash"], 
-            ["Emergency services called after 'strong' chemical smells"], 
+            ["Just happened a terrible car crash"], 
+            ["Heard about #earthquake is different cities"],
             ["I love my new Tesla!"], 
-            ["Wow social media really blew up after the Adele concert"], 
-            ["Are you OK?"]]
+            ["Wow social media really blew up after the Adele concert"]]
 
 interface = gr.Interface.load("huggingface/hkayesh/twitter-disaster-nlp",
             title=title,