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