Update app.py

app.py

@@ -5,11 +5,11 @@ from transformers import pipeline
 classifier = pipeline("text-classification",model='lguoao123/model2', return_all_scores=True)
 
 # Streamlit application title
-st.title("Text Classification")
-st.write("Classification for 6 emotions: sadness, joy, love, anger, fear, surprise")
+st.title("Financial News Sentiment Classification")
+st.write("Classification")
 
 # Text input for user to enter the text to classify
-text = st.text_area("Enter the text to classify", "")
+text = st.text_area("Enter the financial news to classify", "")
 
 # Perform text classification when the user clicks the "Classify" button
 if st.button("Classify"):