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Upload app.py

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+ # -*- coding: utf-8 -*-
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+ """Gradio NER App.ipynb
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+
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+ Automatically generated by Colaboratory.
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+
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+ Original file is located at
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+ https://colab.research.google.com/drive/1Xn7aDd9y80LflV7p-QKFbn4DAOjD1U9M
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+ """
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+
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+ !pip install -q transformers
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+
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+ from transformers import pipeline
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+
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+ ner_pipeline = pipeline("ner", model="Tirendaz/roberta-base-NER")
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+
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+ text = "I am Tim and I work at Google"
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+
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+ ner_pipeline(text)
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+
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+ text_tr = "Benim adım Ali ve Trendyol'da çalışıyorum"
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+ ner_pipeline(text_tr)
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+
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+ ner_pipeline(text_tr, aggregation_strategy = "simple")
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+
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+ def ner(text):
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+ output = ner_pipeline(text, aggregation_strategy="simple")
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+ return {"text": text, "entities": output}
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+
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+ !pip install -q gradio
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+
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+ import gradio as gr
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+
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+ examples = [
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+ "My name is Tim and I live in California",
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+ "Ich arbeite bei Google in Berlin",
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+ "Ali, Ankara'lı mı?"
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+ ]
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+
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+ demo = gr.Interface(
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+ ner,
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+ gr.Textbox(placeholder="Enter sentence here..."),
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+ gr.HighlightedText(),
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+ examples=examples
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+ )
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+
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+ demo.launch(share=True)
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+