Update app.py

app.py

@@ -76,18 +76,21 @@ def chatbot_response(history, user_input, source):
     # Always use the user input as a question for the QA pipeline
     user_input = user_input.lower()  # Optionally make it lowercase
     
-    # Get the context (single article or bulk context)
+    # Get the context from the source (single article or bulk content)
     context = context_storage["context"] if source == "Single Article" else context_storage["bulk_context"]
     
-    # Ensure there's context to query
     if context:
         with st.spinner("Finding answer..."):
+            # Pass the user's question and the content from the source (context) to the QA pipeline
             result = qa_pipeline(question=user_input, context=context)
             answer = result["answer"]
+            
+            # Append the question and answer to the chat history
             history.append([user_input, answer])
     
     return history, ""
 
+
 # Streamlit App Layout
 st.set_page_config(page_title="News Classifier", page_icon="📰")
 cover_image = Image.open("cover.png")  # Ensure this image exists