Create app.py

app.py

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+import spacy
+import streamlit as st
+
+st.title('Strong Word Highlighter')
+st.write('Strong words evoke emotions, may offend and may indicate bias. Write or paste text and the machine will attempt to identify strong words.')
+
+with st.spinner('The model is loading.')
+  nlp = space.load('en_pipeline')
+  
+input = st.text_area()
+text = nlp(input)
+
+output_html = spacy.displacy.render(text, style='ent', jupyter=False, options = {"colors": {'bias': 'ff5a36'}})
+
+st.markdown(output_html, unsafe_allow_html=True)