Update app.py

app.py

@@ -5,7 +5,7 @@ from transformers import pipeline
 sentiment_classifier = pipeline("text-classification",model='Ryleeeee/CustomSentimentModel', return_all_scores=True)
 
 # Streamlit application title and background image
-st.image("./header.png", use_column_width=True)
+st.markdown("<div style='text-align:center'><img src='./header.png' width='300' height='200'></div>", unsafe_allow_html=True)
 st.markdown("<h1 style='text-align: center;'>Customer Review Analysis</h1>", unsafe_allow_html=True)
 
 st.write("Setiment classification: positive, netural, negative")
@@ -22,12 +22,12 @@ def sentiment_class(text):
             max_score = result['score']
             max_label = result['label']
     return max_score, max_label
-
-    
+ 
 # Perform sentiment analysis when the user clicks the "Classify Sentiment" button
 if st.button("Classify Sentiment"):
+    # Check if the user has entered review
     if review is None or review.strip() == '':
-        st.warning("Please enter a review.")
+        st.warning("Please enter a customer review first.")
     else:
         # Perform sentiment analysis on the input text
         sentiment_result = sentiment_class(review)