Upload app.py

app.py

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+import streamlit as st # web app
+import spacy # named entity recognition 
+
+# title 
+
+st.title("News Bias Words Recognizer")
+
+# wait until the model loads with a simple spinner - progress bar
+
+with st.spinner("Please wait while the model is being 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 with named entities 
+
+doc = nlp(input)
+
+# get the html / markdown code for displaying the output 
+
+output_html = spacy.displacy.render(doc, style='ent', jupyter=False, options = {"colors": {'bias':'#ff5a36'} })
+
+# render the html code as a markdown with html rendering enabled 
+
+st.markdown(output_html,    unsafe_allow_html=True)