Upload app.py

app.py

@@ -40,7 +40,7 @@ def perform_asde_inference(text, dataset, model_id):
         true_sentiment = selected_df['actual_sentiments']
         true_doubles = pd.DataFrame(list(map(list, zip(ast.literal_eval(true_aspect), ast.literal_eval(true_sentiment)))),columns=['Aspect','Sentiment'])
     else:
-        true_doubles = pd.DataFrame([["",""]],columns=['Aspect','Sentiment'])
+        true_doubles = pd.DataFrame([["NA","NA"]],columns=['Aspect','Sentiment'])
 
     bos_instruction = """Definition: The output will be the aspects (both implicit and explicit) and the aspects sentiment polarity. In cases where there are no aspects the output should be noaspectterm:none.
         Positive example 1-