Update app.py

app.py

@@ -6,7 +6,7 @@ sentiment_classifier = pipeline("text-classification",model='Ryleeeee/CustomSent
 
 # Streamlit application title and background image
 st.image("./header.png", use_column_width=True)
-st.header("Customer Review Analysis")
+st.markdown("<h1 style='text-align: center;'>Customer Review Analysis</h1>", unsafe_allow_html=True)
 
 st.write("Setiment classification: positive, netural, negative")
 
@@ -25,9 +25,12 @@ def sentiment_class(text):
 
     
 # Perform sentiment analysis when the user clicks the "Classify Sentiment" button
-if review is not None and st.button("Classify Sentiment"):
-    # Perform sentiment analysis on the input text
-    sentiment_result = sentiment_class(review)
-    st.write("This review sentiment is ", sentiment_result[1])
-    st.write("Prediction score is ", sentiment_result[0])
+if st.button("Classify Sentiment"):
+    if review is None or review.strip() == '':
+        st.warning("Please enter a review.")
+    else:
+        # Perform sentiment analysis on the input text
+        sentiment_result = sentiment_class(review)
+        st.write("This review sentiment is ", sentiment_result[1])
+        st.write("Prediction score is ", sentiment_result[0])