Create app.py

app.py

@@ -0,0 +1,9 @@
+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)