Update app.py

app.py

@@ -7,6 +7,7 @@ console = Console()
 dataset = load_dataset("zeroshot/twitter-financial-news-sentiment", )
 
 console.log( dataset['train'][:10] )
+"""
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
 model = AutoModelForSequenceClassification.from_pretrained("bert-base-uncased")
@@ -21,7 +22,6 @@ dataset['sentiment'] = dataset['text'].apply(lambda x: sentiment_score(x[:512]))
 
 
 
-"""
 categories = ('Car in good condition','Damaged Car')
 
 def is_car(x) : return x[0].isupper()