Update app.py

app.py

@@ -15,7 +15,8 @@ def predict_topic_by_title_and_abstract(text, model):
     with torch.no_grad():
         logits = model(**tokens).logits
     probs = torch.nn.functional.softmax(logits[0], dim=0).numpy() * 100
-    ans = list(zip(probs,labels.values()))
+    #ans = list(zip(probs,labels.values()))
+    ans = list(zip(probs,[x for x in range(8)]))
     ans.sort(reverse=True)
     sum = 0
     i = 0