app.py

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()