app.py

# -*- coding: utf-8 -*-
"""GradioIleNER.ipynb

Automatically generated by Colab.

Original file is located at
    https://colab.research.google.com/drive/1NfmayavArZT9V1I1LgMeAkM7QLmKAhXe
"""

# !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 Neşet 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 Berlin", "Neşet, Ankara'lı mı?"]

demo = gr.Interface(
    ner,
    gr.Textbox(placeholder="Enter text here..."),
    gr.HighlightedText(),
    examples=examples,
)

demo.launch(share= True)