app.py

from transformers import pipeline

import gradio as gr

pretrained_name = "cahya/bert-base-indonesian-NER"

ner = pipeline(
    "ner",
    model=pretrained_name,
    tokenizer=pretrained_name
)

examples = [
    "Ada apa dengan Jokowi di istana negara?",
]

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

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

if __name__ == "__main__":
    demo.launch()