#!pip install -q transformers

from transformers import pipeline

ner_pipeline = pipeline("ner", model="Tirendaz/roberta-base-NER")

text = "I am Tim and I work at Google"

ner_pipeline(text)

text_tr = "Benim adım Ali ve Trendyol'da çalışıyorum."
ner_pipeline(text_tr)

ner_pipeline(text_tr, aggregation_strategy = "simple")

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

#!pip install -q gradio

import gradio as gr

examples=[
        "My name is Tim and I live in California",
        "Ich arbeite bei Google in Berling",
        "Ali, Ankaralı mı?"
]
demo = gr.Interface(
    ner,
    gr.Textbox(placeholder="Enter sentence here..."),
    gr.HighlightedText(),
    examples=examples
)

demo.launch(share=True)