app.py

import streamlit as st
from transformers import pipeline

classifier = pipeline("text-classification", model="isom5240/bert-base-uncased-emotion")

st.title("Text Classification for you")
st.write("Classification for 6 emotions: sadness, joy, love, anger, fear, surprice")

text = st.text_area("Enter the text to classify", "")

if st.button("Classify"):
    results = classifier(text)[0]

    max_score = float("-inf")
    max_label = ""

    for result in results:
        if result['score'] > max_score:
            max_score = result['score']
            max_label = result['label']
    
    st.write("Text:", text)
    st.write("Label:", max_label)
    st.write("Score:", max_score)