Update app.py

app.py

@@ -2,20 +2,20 @@ import streamlit as st
 from transformers import pipeline
 
 classifier = pipeline("sentiment-analysis", model="maurosm/bert_classification_model")
-text = st.text_area('Type an utterance that would correspond to one of the ten intents listed below:\n 
-    change_shipping_address\n
-    complaint\n
-    contact_customer_service\n
-    create_account\n
-    delete_account\n
-    edit_account\n
-    get_invoice\n
-    get_refund\n
-    payment_issue\n
-    registration_problems\n
-    For example you could start with the utterance: "I would like to create a new account"\n
-    The expected intent would be create_account. Type your own utterances and see what you get.
-')
+st.write("Type an utterance that would correspond to one of the ten intents listed below:"
+    "change_shipping_address"
+    "complaint"
+    "contact_customer_service"
+    "create_account"
+    "delete_account"
+    "edit_account"
+    "get_invoice"
+    "get_refund"
+    "payment_issue"
+    "registration_problems"
+    "For example you could start with the utterance: I would like to create a new account"
+    "The expected intent would be create_account.")
+text = st.text_area('Type your own utterance below')
 
 if text:
     out = classifier(text)