app.py

import spacy
import gradio as gr
 

#spacy download en_core_web_lg 

nlp = spacy.load("en_core_web_lg")
def ner(text):
    doc =  nlp(text)
    entities= []
    for entity in doc.ents:
      word = entity.text
      label = entity.label_
      entities.append((word,label))
    return entities   
examples = "Donald Trump is president of America"
demo = gr.Interface(ner, 
             gr.Textbox(placeholder="Enter sentence here..."), 
             gr.HighlightedText())

demo.launch(debug = True)