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Create app.py

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  1. app.py +17 -0
app.py ADDED
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+ import gradio as gr
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+ from transformers import pipeline
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+
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+ get_completion = pipeline("ner", model="tororoin/longformer-8bitadam-2048-main")
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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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+ demo = gr.Interface(fn=ner,
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+ inputs=[gr.Textbox(label="Text to find entities", lines=4)],
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+ outputs=[gr.HighlightedText(label="Text with entities")],
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+ title="Detecting PII",
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+ description="Find PII in text data! A small demo",
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+ allow_flagging="never",
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+ examples=["My name is Andrew and I live in at Baker Str"])
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+ demo.launch()