Update app.py

app.py

@@ -142,8 +142,7 @@ with tab1:
             mime='text/csv'
         )
 
-        # Store classification results for Q&A pipeline
-        st.session_state['qa_df'] = df
+
 
 
 with tab2:
@@ -152,10 +151,10 @@ with tab2:
     
     
     
-    if 'qa_df' in st.session_state:
-        qa_df = st.session_state['qa_df']
-        context = ' '.join(qa_df['content'].tolist())  # Use predictions for Q&A
-        st.write(f"Loaded {len(qa_df)} news excerpts")
+    if uploaded_file is not None:
+        
+        context = ' '.join(df['content'].tolist())  # Use predictions for Q&A
+        st.write(f"Loaded {len(df)} news excerpts")
 
     else:
         st.warning("Please upload a CSV file.")