Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 
 title = "Disaster tweets classification"
 
-description = "Text classification using DistilBERT fine-tuned on the Kaggle disaster tweets dataset"
+description = "Text classification using DistilBERT fine-tuned on the Kaggle disaster tweets dataset. \n Labels:\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"], 
@@ -14,7 +14,7 @@ interface = gr.Interface.load("huggingface/hkayesh/twitter-disaster-nlp",
             title=title,
             description=description,
             examples=examples,
-            theme="huggingface"
+            theme="peach"
 )
 
 interface.launch(enable_queue=True)