Update app.py

app.py

@@ -1,15 +1,12 @@
 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")
-st.write("Identify the sentiment to help you make decisions.")
+st.write("Identify the sentiment and look into the key point to help you make decisions.")
 
 # Load the summarization and sentiment analysis pipelines
 
@@ -42,7 +39,7 @@ else:
     question = "What's the opinion?"
     
  # Generate the answer
-result = qa_pipe(question=question, context=context)[0]["answer"]
+result = qa_pipe(question=question, context=context)["answer"]
 
 # Display different buttons based on sentiment
 if sentiment_label == "positive":