tweak

app.py

@@ -20,11 +20,13 @@ result = model(batch)
 # first indice is neutral, second is toxic
 prediction = nn.functional.softmax(result.logits, dim=-1)
 
-neutralProb = prediction.data[0]
-toxicProb = prediction.data[0]
+neutralProb = prediction.data[0][0]
+toxicProb = prediction.data[0][1]
 
 neutralProb
 
+toxicProb
+
 print("Classification Probabilities")
 print(f"Neutral: {neutralProb}")
 print(f"Toxic: {toxicProb}")