import gradio as gr
from transformers import pipeline


ner_pipeline = pipeline("ner", model="dslim/bert-base-NER")

examples = [
    "Does Chicago have any stores and does Joe live here?",
]


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


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

demo.launch()