Update app.py

app.py

@@ -1 +1,8 @@
-print("hello world")
+from sentence_transformers import CrossEncoder
+model = CrossEncoder('cross-encoder/nli-deberta-v3-large')
+scores = model.predict([('A man is eating pizza', 'A man eats something'), ('A black race car starts up in front of a crowd of people.', 'A man is driving down a lonely road.')])
+
+#Convert scores to labels
+label_mapping = ['contradiction', 'entailment', 'neutral']
+labels = [label_mapping[score_max] for score_max in scores.argmax(axis=1)]
+print("label", labels)