Sentiments.py
Browse files- sentiment.py +13 -0
sentiment.py
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import streamlit as st
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from transformers import pipeline
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pipe = pipeline('sentiment-analysis')
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text = st.text_area("Enter some text!")
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if text:
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out = pipe(text)
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st.json(out[0]['label'] + " : " + out[0]['score'])
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