Update app.py

app.py

@@ -3,8 +3,10 @@ import torch
 from datasets import load_dataset
 
 dataset = load_dataset("zeroshot/twitter-financial-news-sentiment", )
-print(dataset[:10])
-break
+
+intf = gr.Interface(outputs=dataset[:10])
+intf.launch()
+
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
 model = AutoModelForSequenceClassification.from_pretrained("bert-base-uncased")