demoapp / app.py
AlessandroArgiolas02's picture
Update app.py
416414d verified
raw
history blame contribute delete
363 Bytes
import transformers
import streamlit as st
from transformers import pipeline
#pipe = pipeline('sentiment-analysis')
#text = st.text_area('Enter some text')
# pipe = pipeline('sentiment-analysis', model='AlessandroArgiolas02/demoapp')
pipe = pipeline('sentiment-analysis')
text = st.text_area('Enter some text')
if text:
out = pipe(text)
st.json(out)