tweak

app.py

@@ -23,8 +23,8 @@ prediction = nn.functional.softmax(result.logits, dim=-1)
 neutralProb = prediction.data[0][0]
 toxicProb = prediction.data[0][1]
 
-neutralProb = torch.round(neutralProb, 3)
-toxicProb = torch.round(toxicProb, 3)
+neutralProb = torch.round(neutralProb, decimals=3)
+toxicProb = torch.round(toxicProb, decimals=3)
 
 st.write("Classification Probabilities")
 st.write(f"Neutral: {neutralProb}")