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# -*- coding: utf-8 -*- | |
"""Gradio_NER_App.ipynb | |
Automatically generated by Colaboratory. | |
Original file is located at | |
https://colab.research.google.com/drive/1jJt0EzAjNDS_YlBT_ZNjBx562ezPBpX- | |
""" | |
# !pip install -q transformers | |
from transformers import pipeline | |
ner_pipeline = pipeline("ner", model="ertyazilim/multilingual-xlm-roberta-for-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 Berlin", | |
"Ali, Ankaralı mı?" | |
] | |
demo = gr.Interface( | |
ner, | |
gr.Textbox(placeholder = "Enter sentence here..."), | |
gr.HighlightedText(), | |
examples = examples | |
) | |
demo.launch(share=True) | |