Update app.py

app.py

@@ -1,7 +1,11 @@
 import streamlit as st
 from transformers import pipeline
 
-
+# set initial values to avoid empty
+sentiment_label = 0
+context = 0
+question = 0
+    
 
 # Streamlit application title
 st.title("Financial News Sentiment Analysis")
@@ -22,11 +26,7 @@ if st.button("Identify Sentiment"):
 
     st.write(f"Sentiment: {sentiment_label}")
 
-# set initial values
-sentiment_label = 0
-context = 0
-question = 0
-    
+
 # Initialize the question-answering pipeline
 qa_pipe = pipeline("question-answering", model="deepset/roberta-base-squad2")