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Browse files- README.md +1 -12
- app.py +21 -0
- requirements.txt +2 -0
README.md
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title: Testi
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emoji: 🚀
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colorFrom: gray
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colorTo: blue
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sdk: streamlit
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sdk_version: 1.21.0
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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# bias_02
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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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requirements.txt
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spacy
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https://huggingface.co/d4data/en_pipeline/resolve/main/en_pipeline-any-py3-none-any.whl
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