app.py

import streamlit as st # web
import spacy # named entity recognition 
st.title("Bias Mitigator for Fairness and Equity AI for Corpus and Data")
with st.spinner("Please wait while the model is being loaded...."):
    nlp = spacy.load("en_pipeline")
input = st.text_area(label = "Enter your text to get biased words recognized.....")
doc = nlp(input)
output_html = spacy.displacy.render(doc, style='ent', jupyter=False, options = {"colors": {'bias':'#ff5a36'} })
st.markdown(output_html,    unsafe_allow_html=True)