app.py

import streamlit as st
from transformers import pipeline

st.title('Sentence Emotion Teller')
classifier = pipeline(task="text-classification", model="SamLowe/roberta-base-go_emotions", top_k=None)

sentences = st.text_input('Enter Your Sentences')

if st.button('Submit'):
    model_outputs = classifier(sentences)
    st.write(model_outputs[0])
# produces a list of dicts for each of the labels