tweak

app.py

@@ -20,8 +20,8 @@ result = model(batch)
 # first indice is neutral, second is toxic
 prediction = nn.functional.softmax(result.logits, dim=-1)
 
-neutralProb = round(prediction.data[0][0].double(), 3)
-toxicProb = round(prediction.data[0][1].double(), 3)
+neutralProb = prediction.data[0][0].double()
+toxicProb = prediction.data[0][1].double()
 
 neutralProb
 toxicProb