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import streamlit as st | |
import pandas as pd | |
import numpy as np | |
import torch | |
import transformers | |
# Use a pipeline as a high-level helper | |
from transformers import pipeline | |
pipe = pipeline("text-classification", model="bhadresh-savani/bert-base-uncased-emotion") | |
st.write('') | |
st.write('Enter Text for Emotion Detection:') | |
text=st.text_input("") | |
if st.button("Submit"): | |
st.write(pipe(text)[0]["label"]) |