tweak

app.py

@@ -20,11 +20,10 @@ result = model(batch)
 # first indice is neutral, second is toxic
 prediction = nn.functional.softmax(result.logits, dim=-1)
 
-neutralProb = prediction.data[0][0]
-toxicProb = prediction.data[0][1]
+neutralProb = round(prediction.data[0][0].double(), 3)
+toxicProb = round(prediction.data[0][1].double(), 3)
 
 neutralProb
-
 toxicProb
 
 print("Classification Probabilities")