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A newer version of the Gradio SDK is available: 6.20.0
metadata
title: Interactive Named Entity Recognizer
emoji: 🏷️
colorFrom: purple
colorTo: indigo
sdk: gradio
python_version: '3.10'
app_file: app.py
pinned: false
license: mit
Interactive Named Entity Recognizer (NER)
This is a premium, lightweight, interactive Named Entity Recognition tool designed specifically for computational social science and humanities courses.
Features
- Dual Inputs: Paste raw text directly or upload datasets (
.csv,.xlsx, or.txt). - Flexible Models:
- spaCy (Local & Fast): Runs high-speed extraction using the standard English model (
en_core_web_sm) locally on CPU. - Transformers (API Mode): Leverages advanced deep learning models (like BERT-NER) through Hugging Face's Serverless API with your personal access token.
- spaCy (Local & Fast): Runs high-speed extraction using the standard English model (
- Beautiful Visual Color-Highlighting: Leverages Gradio's native highlighted text component to render custom color backings for people, locations, and organizations.
- Statistics & Charts: Visualizes entity type distribution in a dark-themed Plotly chart.
- Dual Format Exports: Download full data reports in either CSV or JSON format.