app.py

import streamlit as st
from transformers import pipeline

classifier = pipeline("text-classification", model='isom5240sp24/bert-base-uncased-emotion', return_all_scores=True)

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

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)