Update app.py

app.py

@@ -7,7 +7,6 @@ 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.")
-st.write("(Please ignore any errors shown before you enter a valid input)")
 
 
 # Load the summarization and sentiment analysis pipelines
@@ -15,7 +14,10 @@ st.write("(Please ignore any errors shown before you enter a valid input)")
 pipe = pipeline("text-classification", model="roselyu/FinSent-XLMR-FinNews")
 
 # User input and sentiment analysis
-user_input = st.text_area("Enter a short financial news article to identify its sentiments:")
+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)
+
+
 sentiment_label = pipe(user_input)[0]["label"]
 
 # Summarize and identify sentiment button