Fixed a small bug

app.py

@@ -427,7 +427,7 @@ def nlu_query_use_api():
     'Which company trades at the highest revenue multiple?',
     'List all companies with growth rates greater than 40?',
     'What is the average gross margin for companies in this dataset?',
-    'What is the average trading multiple for companies in this dataset?'
+    'What is the average trading multiple?'
     
     ]
 
@@ -441,16 +441,18 @@ def nlu_query_use_api():
     if 'error' in output:
         st.write(output['error'])
     else:
-        df_output = pd.DataFrame.from_dict(output['cells'])
-        if output['aggregator'] == 'COUNT':
-            st.info(f"[COUNT] Answer: {df_output[0].count()}")
-        elif output['aggregator'] == 'SUM':
-            st.info(f"[SUM] Answer: {df_output[0].astype(float).sum().round(2)}")
-        elif output['aggregator'] == 'AVERAGE':
-            st.info(f"[AVERAGE] Answer: {df_output[0].astype(float).mean().round(2)}")
-        else:
-            st.info(f"Answer is {output['answer']}")
-
+        try:
+            df_output = pd.DataFrame.from_dict(output['cells'])
+            if output['aggregator'] == 'COUNT':
+                st.info(f"[COUNT] Answer: {df_output[0].count()}")
+            elif output['aggregator'] == 'SUM':
+                st.info(f"[SUM] Answer: {df_output[0].astype(float).sum().round(2)}")
+            elif output['aggregator'] == 'AVERAGE':
+                st.info(f"[AVERAGE] Answer: {df_output[0].astype(float).mean().round(2)}")
+            else:
+                st.info(f"Answer is {output['answer']}")
+        except ValueError:
+            st.write(output)
         with st.expander("Raw Output"):
             st.write(output)
     return