Update app.py

app.py

@@ -3,7 +3,7 @@ from transformers import pipeline
 # Load the text classification model pipeline
 classifier = pipeline("text-classification", model='isom5240sp24/bert-base-uncased-emotion', return_all_scores=True)
 # Streamlit application title
-st.title("Text Classification")
+st.title("Text Classification for you")
 st.write("Classification for 6 emotions: sadness, joy, love, anger, fear, surprise")
 # Text input for user to enter the text to classify
 text = st.text_area("Enter the text to classify", "")