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import streamlit as st
from transformers import pipeline

def load_model():
    return pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")

classifier = load_model()

st.title("Text Classification App")
st.write("Enter a sentence: ")

user_input = st.text_area("Enter text here:")

if st.button("Classify Sentiment"):
    if user_input:
        result = classifier(user_input)
        label = result[0]['label']
        score = result[0]['score']
        
        if label == "POSITIVE":
            st.write("Sentiment: Positive 😊")
        else:
            st.write("Sentiment: Negative 😟")
        st.write(f"Confidence Score: {score:.2f}")
    else:
        st.write("Please enter text to classify.")