import gradio as gr
from transformers import pipeline

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

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

gr.close_all()
demo = gr.Interface(fn=ner,
                    inputs=[gr.Textbox(label="Text to find entities", lines=2)],
                    outputs=[gr.HighlightedText(label="Text with entities")],
                    title="NER with dslim/bert-base-NER",
                    description="Find entities using the `dslim/bert-base-NER` model under the hood!",
                    allow_flagging="never",
)
demo.launch()