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Update personal_info_identifier.py
Browse files- personal_info_identifier.py +38 -9
personal_info_identifier.py
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import gradio as gr
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from transformers import pipeline
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#
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pii_detector = pipeline(
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def
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def create_personal_info_tab():
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with gr.Column():
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gr.Markdown("###
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import gradio as gr
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from transformers import pipeline
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import re
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# โหลดโมเดล PII Detection
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pii_detector = pipeline(
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"token-classification",
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model="iiiorg/piiranha-v1-detect-personal-information",
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aggregation_strategy="simple"
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)
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def highlight_pii(text):
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entities = pii_detector(text)
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highlighted_text = text
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offset = 0 # For shifting positions when inserting tags
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for entity in sorted(entities, key=lambda x: x['start']):
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start = entity['start'] + offset
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end = entity['end'] + offset
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label = entity['entity_group']
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# wrap entity with a span tag with color (red for demo, can be better)
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span = f'<span style="background-color:#ffcccc; padding:2px 4px; border-radius:4px;">{text[entity["start"]:entity["end"]]} <b style="color:red;">[{label}]</b></span>'
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highlighted_text = highlighted_text[:start] + span + highlighted_text[end:]
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offset += len(span) - (end - start)
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return highlighted_text
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def create_personal_info_tab():
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with gr.Column():
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gr.Markdown("### Personal Information Identifier")
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input_text = gr.Textbox(label="Enter text", lines=5, placeholder="Type your text here...")
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output_html = gr.HTML()
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submit_button = gr.Button("Submit")
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submit_button.click(fn=highlight_pii, inputs=input_text, outputs=output_html)
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# Optional: Add example
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gr.Examples(
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examples=[
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"Hugging Face is a company based in Paris and New York City that acquired Gradio in 2021."
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],
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inputs=input_text
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)
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