gradio/demo/ner_pipeline/run.ipynb

Gradio Demo: ner_pipeline¶

In [ ]:

!pip install -q gradio torch transformers

In [ ]:

from transformers import pipeline

import gradio as gr

ner_pipeline = pipeline("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)

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