Update README.md

README.md

@@ -72,7 +72,7 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification
 tokenizer = AutoTokenizer.from_pretrained("AIPsy/bert-base-client-topic-classification-eng")
 model = AutoModelForSequenceClassification.from_pretrained("AIPsy/bert-base-client-topic-classification-eng")
 
-text = "You don't even seem to care that I'm mad at you."
+text = "That in essense it's right; it's responsibility."
 
 encoding = tokenizer(
             text,
@@ -83,7 +83,7 @@ encoding = tokenizer(
 output = model(encoding['input_ids'], encoding['attention_mask']).logits
 result = np.argmax(output.detach().numpy(), axis=-1)
 print(id2label[result[0]])
-'Experience and Regulation of Anger'
+'Guilt and Responsibility'
 ```
 
 ## Dataset