nlpcw / app.py
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import gradio as gr
from transformers import pipeline
gr.Interface.from_pipeline(
pipeline("token-classification", "cogniveon/nlpcw-ner"),
title="Abbreviation Detection",
description="Token classication pipeline that detects abbreviations and it's long forms (based on huggingface model: \"romainlhardy/roberta-large-finetuned-ner\")",
fill_width=True,
allow_flagging='never',
examples=[
"The new SMPL-X model (Skinned Multi Person Linear Model - eXpressive) is based on SMPL and retains the benefits of that model: compatibility with graphics software, simple parametrization, small size, efficient, differentiable, etc."
],
).launch()