Created app.py
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app.py
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForTokenClassification
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from transformers import pipeline
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description = "Named Entity Recognition Using BERT"
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title = "NERBERT"
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examples = [["Hey, Alex here from London!"], ["My name is Wolfgang and I live in Berlin"]]
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def findNER(example):
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tokenizer = AutoTokenizer.from_pretrained("dslim/bert-base-NER")
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model = AutoModelForTokenClassification.from_pretrained("dslim/bert-base-NER")
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ner_pipeline = pipeline("ner", model=model, tokenizer=tokenizer)
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return ner_pipeline(example)
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interface = gr.Interface(fn=findNER, inputs='text', outputs='text', examples=examples, description=description, title=title)
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interface.launch()
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