more println debugging

app.py

@@ -40,6 +40,7 @@ model = AutoModelForSequenceClassification.from_pretrained(modelPath)
 # RoBERTA: [0]: neutral, [1]: toxic
 encoding = tokenizer.encode(txt, return_tensors='pt')
 result = model(encoding)
+result
 
 # transform logit to get probabilities
 prediction = nn.functional.softmax(result.logits, dim=-1)