# import streamlit as st
# from transformers import AutoTokenizer, AutoModelForTokenClassification
# from transformers import pipeline

# text=st.text_area("Enter customer feedback")
# tokenizer = AutoTokenizer.from_pretrained("dslim/bert-base-NER")
# model = AutoModelForTokenClassification.from_pretrained("dslim/bert-base-NER")

# nlp = pipeline("ner", model=model, tokenizer=tokenizer)
# example = "My name is Wolfgang and I live in Berlin"
# if text:
#     ner_results = nlp(text)
    # st.json(ner_results)

import streamlit as st
from transformers import pipeline
pipe =pipeline('sentiment-analysis')
text=st.text_area('enter customer feedback')
if text:
    out =pipe(text)
    st.json(out)