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) |