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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 | |