Update app.py

app.py

@@ -73,15 +73,18 @@ def classify_csv(file):
         return None, f"Error: {str(e)}"
 
 def chatbot_response(history, user_input, source):
-    # Always run the QA pipeline with the context
-    user_input = user_input.lower()
+    # 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)
     context = context_storage["context"] if source == "Single Article" else context_storage["bulk_context"]
     
-    # Run the QA pipeline and get the answer
+    # Ensure there's context to query
     if context:
-        result = qa_pipeline(question=user_input, context=context)
-        answer = result["answer"]
-        history.append([user_input, answer])
+        with st.spinner("Finding answer..."):
+            result = qa_pipeline(question=user_input, context=context)
+            answer = result["answer"]
+            history.append([user_input, answer])
     
     return history, ""