Update app.py

app.py

@@ -2,8 +2,8 @@ import gradio as gr
 from transformers import pipeline
 
 from transformers import AutoModelForSequenceClassification,AutoTokenizer,pipeline
-model = AutoModelForSequenceClassification.from_pretrained('uer/roberta-base-finetuned-jd-binary-chinese',local_files_only=True)
-tokenizer = AutoTokenizer.from_pretrained('uer/roberta-base-finetuned-jd-binary-chinese',local_files_only=True)
+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。"]