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import streamlit as st |
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from transformers import pipeline |
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from textblob import TextBlob |
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pipe = pipeline('sentiment-analysis') |
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st.title("Hugging Face Sentiment Analysis Spaces Example") |
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st.subheader("What framework would you like to use for Sentiment Analysis") |
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option = st.selectbox('Framework',('Transformers', 'TextBlob')) |
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st.subheader("Enter the text you'd like to analyze.") |
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text = st.text_input('Enter text') |
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if option == 'Transformers': |
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out = pipe(text) |
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else: |
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out = TextBlob(text) |
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out = out.sentiment |
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st.write("Sentiment of Text: ") |
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st.write(out) |