Update app.py

app.py

@@ -5,7 +5,7 @@ from transformers import AutoModelForSequenceClassification,AutoTokenizer,pipeli
 model = AutoModelForSequenceClassification.from_pretrained('uer/roberta-base-finetuned-jd-binary-chinese')
 tokenizer = AutoTokenizer.from_pretrained('uer/roberta-base-finetuned-jd-binary-chinese')
 sentiment_classifier = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
-examples=["小红正在吃一块美味的蛋糕。","小红在蛋糕里发现了一只苍蝇。"]
+examples=["5月2日，在广东广州，有网友发视频称，自己吃自助烧烤时，发现肉上爬满活蛆，幸好当时没吃，感到特别恶心。","年轻人透过动漫游戏等对传统文化产生深度了解的兴趣，也将反向推动“国潮”创新。"]
 
 def classifier(text):
     pred = sentiment_classifier(text)