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# -*- coding: utf-8 -*-
"""ner_proje_deploy.ipynb
Automatically generated by Colab.
Original file is located at
https://colab.research.google.com/drive/1fJxowj49riArEHCkqv3TkCJNN6_kNq5o
"""
from transformers import pipeline
ner_pipeline=pipeline("ner",model="apak/multilingual-xlm-roberta-for-ner")
def ner(text):
output=ner_pipeline(text,aggregation_strategy="simple")
return {"text":text, "entities": output}
import gradio as gr
examples=[
" My name is Jessica, I work at Google",
" Ayşe ve Hasan Rusya'ya gittiler",
"Flüge vom Flughafen JFK nach Deutschland wurden gestrichen."
]
demo=gr.Interface(
ner,
gr.Textbox(placeholder="Enter sentence here..."),
gr.HighlightedText(),
examples=examples
)
demo.launch(share=True)