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app.py and requirements.txt files.

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  1. app.py +19 -0
  2. requirements.txt +3 -0
app.py ADDED
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+ from transformers import pipeline
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+ import gradio as gr
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+
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+ get_completion = pipeline("ner", model="dslim/bert-base-NER")
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+
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+ def ner(input):
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+ output = get_completion(input)
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+ return {"text": input, "entities": output}
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+
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+ gr.close_all()
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+ demo = gr.Interface(fn=ner,
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+ inputs=[gr.Textbox(label="Text to find entities", lines=2)],
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+ outputs=[gr.HighlightedText(label="Text with entities")],
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+ title="NER with dslim/bert-base-NER",
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+ description="Find entities using the `BERT-base` model under the hood!",
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+ allow_flagging="never",
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+ #Here we introduce a new tag, examples, easy to use examples for your application
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+ examples=["My name is Raul and I live in Niterói, Rio de Janeiro, Brazil"])
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+ demo.launch()
requirements.txt ADDED
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+ transformers
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+ gradio
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+ torch