removed neutral

app.py

@@ -12,10 +12,11 @@ model_bart_sq = BartForSequenceClassification.from_pretrained('facebook/bart-lar
 def zs(premise,hypothesis):
     input_ids = tokenizer_bart.encode(premise, hypothesis, return_tensors='pt')
     logits = model_bart_sq(input_ids)[0]
-    entail_contradiction_logits = logits[:,[0,1,2]]
+    # entail_contradiction_logits = logits[:,[0,1,2]]
+    entail_contradiction_logits = logits[:,[0,2]]
     probs = entail_contradiction_logits.softmax(dim=1)
     contra_prob = round(probs[:,0].item() * 100,2)
-    neut_prob = round(probs[:,1].item() * 100,2)
+    # neut_prob = round(probs[:,1].item() * 100,2)
     entail_prob = round(probs[:,2].item() * 100,2)
     return contra_prob, neut_prob, entail_prob