import streamlit as st
from transformers import pipeline

pipe=pipeline('sentiment-analysis')
# Set the title
st.title("Sentiment Analysis")
# Input for text to analyze sentiment
text = st.text_area("Enter text for sentiment analysis:")

if text:
    if st.button("Analyze Sentiment"):
        out=pipe(text)
        result=st.json(out)
        sentiment = result["label"]
        score = result["score"]
        st.write(f"Sentiment: {sentiment}")
        st.write(f"Sentiment Score: {score}")
# else:
#     st.error("Error: Something went wrong. Please try again...")