Upload app.py
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app.py
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import streamlit as st # web app
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import spacy # named entity recognition
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st.title("News Bias Words Recognizer")
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# wait until the modl loads with a simple spinner - progress bar
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with st.spinner("Please wait while the model is eing loaded...."):
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nlp = spacy.load("en_pipeline")
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## text box to get user input
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input = st.text_area(label = "Enter your text to get biased words recognized .......")
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# create a doc object
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doc = nlp(input)
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# visualize the output
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output_html = spacy.displacy.render(doc, style="ent", jupyter=False, options={"colors":{'bias':"#ff5136"}})
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st.markdown(output_html, unsafe_allow_html=True)
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