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import streamlit as st | |
from transformers import pipeline | |
# import numpy as np | |
classifier = pipeline(task="sentiment-analysis") | |
textIn = st.text_input("Input Text Here:", "I really like the color of your car!") | |
option = st.selectbox('Which pre-trained model would you like for your sentiment analysis?',('TensorFlow', 'PyTorch', 'JAX')) | |
st.write('You selected:', option) | |
# pipeline | |
preds = classifier(textIn) | |
preds = [{"score": round(pred["score"], 4), "label": pred["label"]} for pred in preds] | |
st.write('Input text is ', preds[0]['label'], ' with a confidence of ', preds[0]['score']) |