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#import necessary libraries | |
import streamlit as st | |
from transformers import pipeline | |
#buidling a sentiment pipeline | |
pipe = pipeline('sentiment-analysis', model = 'SamLowe/roberta-base-go_emotions') | |
#give a title to app | |
st.title ('Check the sentiment of your email before sending it outππππβ€οΈ') | |
#text field for user to input data | |
text = st.text_area('Enter given text here') | |
# output formated in json format | |
if text: | |
out = pipe(text) | |
st.json(out) | |