Update app.py

app.py

@@ -1,8 +1,6 @@
-from transformers import BertTokenizer, BertForSequenceClassification, pipeline
-finbert = BertForSequenceClassification.from_pretrained('yiyanghkust/finbert-esg',num_labels=4)
-tokenizer = BertTokenizer.from_pretrained('yiyanghkust/finbert-esg')
-nlp = pipeline("text-classification", model=finbert, tokenizer=tokenizer)
+from transformers import pipeline
+classifier = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
 text = st.text_area('enter some text:')
 if text:
-  results = nlp([text])
+  results = classifier([text])
   st.json(out)