SentimentBuddy / app.py
sifujohn's picture
Update app.py
9b15e7d verified
raw
history blame
230 Bytes
import streamlit as st
from transformers import pipeline
pipe = pipeline('sentiment-analysis', model = 'SamLowe/roberta-base-go_emotions')
text = st.text_area('Enter given text')
if text:
out = pipe(text)
st.json(out)