import spacy
import gradio as gr

nlp = spacy.load("en_core_web_sm")

def ner(sentence):
    doc = nlp(sentence)
    ents = [(e.text, e.label_) for e in doc.ents]
    return ents,ents
app = gr.Interface(fn=ner, inputs="text", outputs=["text",gr.HighlightedText(label="Text with entites")])
app.launch()