Update app.py

app.py

@@ -36,7 +36,7 @@ def get_predict(title: str, abstract: str) -> (str, float, dict):
         out = model(**tokens_info)
         probs = torch.nn.functional.softmax(out.logits, dim=-1).tolist()[0]
 
-        return list(sorted([(p, ind_to_target[i]) for i, p in enumerate(probs)], reversed=True))
+        return list(sorted([(p, ind_to_target[i]) for i, p in enumerate(probs)]))[::-1]
 
 
 title = st.text_area("Title ", "", height=100)