Update app.py

app.py

@@ -2,8 +2,6 @@ import streamlit as st
 from transformers import pipeline
 
 
-    
-
 # Streamlit application title
 st.title("Financial News Sentiment Analysis")
 st.write("Identify the sentiment and look into the key point to help you make decisions.")
@@ -14,7 +12,7 @@ st.write("Identify the sentiment and look into the key point to help you make de
 pipe = pipeline("text-classification", model="roselyu/FinSent-XLMR-FinNews")
 
 # User input and sentiment analysis
-default_summary = "Enter a financial news summary here"
+default_summary = "Enter a financial news summary here."
 user_input = st.text_area("Enter a short financial news article to identify its sentiments:", value=default_summary)