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.markdown("<div style='text-align:center'><img src='./header.png' width='300' height='200'></div>", unsafe_allow_html=True)
+st.image("./header.png", width=600, use_column_width=False)
 st.markdown("<h1 style='text-align: center;'>Customer Review Analysis</h1>", unsafe_allow_html=True)
 
 st.write("Setiment classification: positive, netural, negative")