app.py

import gradio as gr
from transformers import pipeline

token_classifier = pipeline(model="jjzha/jobbert_skill_extraction", aggregation_strategy="simple")

examples = [
        "Knowing Python is a plus.",
        ]


def ner(text):
    output = token_classifier(text)
    return {"text": text, "entities": output}


demo = gr.Interface(ner,
                    gr.Textbox(placeholder="Enter sentence here..."),
                    gr.HighlightedText(),
                    examples=examples)

demo.launch()