Spaces:
Sleeping
Sleeping
create app
Browse files
app.py
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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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#Picking what NLP task you want to do
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option = st.selectbox('Framework',('Transformers', 'TextBlob')) #option is stored in this variable
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#Textbox for text user is entering
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st.subheader("Enter the text you'd like to analyze.")
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text = st.text_input('Enter text') #text is stored in this variable
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if text:
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out = pipe(text)
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st.json(out)
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