# -*- 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)