Update app.py

app.py

@@ -11,7 +11,7 @@ with open('labels.pickle', 'rb') as handle:
 
 # @st.cache
 def predict_topic_by_title_and_abstract(text):
-    tokenized_text = tokenizer(text, return_tensors='pt')
+    tokenized_text = tokenizer(text, return_tensors='pt', truncation=True)
     with torch.no_grad():
         logits = model(**tokenized_text).logits
     probs = torch.nn.functional.softmax(logits[0], dim=0).numpy() * 100