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app.py

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+import streamlit as st
+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)
+text = st.text_area('enter some text:')
+if text:
+  results = nlp([text])
+  st.json(out)