app.py

# -*- coding: utf-8 -*-
"""
Created on Thu Aug  8 15:10:36 2024

@author: Ali PAK
"""
#pip install numpy
from transformers import pipeline
import gradio as gr
import torch


ner_pipeline=pipeline("ner",model="apak/bert-base-uncased-for-ner")

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

examples=[
    " My name is Jessica, I work at Google",
    " Arsenal won the FA Cup.",
    " Rashid played for Galatasaray Istanbul."
        ]
demo=gr.Interface(
ner,
gr.Textbox(placeholder="Enter sentence here..."),
gr.HighlightedText(),
examples=examples
)

demo.launch(share=True)