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""" |
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## ner demo |
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- https://gradio.app/named_entity_recognition/ |
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- https://huggingface.co./dslim/bert-base-NER?text=My+name+is+Wolfgang+and+I+live+in+Berlin |
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""" |
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from transformers import pipeline |
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import gradio as gr |
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ner_pipeline = pipeline("ner") |
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examples = [ |
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"Does Chicago have any stores and does Joe live here?", |
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] |
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import json |
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def ner(text): |
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output = ner_pipeline(text) |
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for ent in output: |
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ent["score"] = float(ent["score"]) |
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aa = {"text": text, "entities": output} |
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return aa, output |
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demo = gr.Interface( |
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ner, |
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inputs=gr.Textbox(placeholder="Enter sentence here..."), |
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outputs= |
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[ |
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gr.HighlightedText( |
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label="NER", |
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show_legend=True, |
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), |
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gr.JSON(), |
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], |
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examples=examples) |
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demo.launch() |
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