app.py

import streamlit as st
from transformers import pipeline

# Create a Streamlit app
st.title("Text Classification with Hugginface: sentiment analysis case")

# Get user input
text = st.text_input("Enter some text to classify:")

#pipeline for sentiment analysis
sentiment = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")

#Print the sentiment and the corresponding score when the button is clicked
if st.button('Click to get the sentiment'):
    output = sentiment(text)
    st.write("The sentiment is ",output[0]['label'].lower(),' avec un score ', output[0]['score'])