app.py

import gradio as gr
from transformers import pipeline

def generate_story(story):
    ner = pipeline("ner", model="dbmdz/bert-large-cased-finetuned-conll03-english")
    return str(ner(story))

demo = gr.Interface (
    fn=generate_story,
    description="Named Entity Recognition Demo with BERT",
    examples=[
        ["England won the 2019 world cup vs The 2019 world cup happened in England."],
        ["Washington is the capital of the US vs The first president of the US was Washington."],
        ["My name is Ganesh Kamath and I work at AMD in Bangalore."]
    ],
    inputs=[gr.Textbox(lines=7, label="Text")],
    outputs=[gr.Textbox(lines=7, label="Story NER")]
)

demo.launch(share=True)