import gradio as gr
title = "Medical Entity Mask Language Modeling (MLM)"
description = "Medical Entity Feature Extraction uses Match Language Modeling to fill in the blank with likely word classification based on context."
article = "<p style='text-align: center'></p>"
examples = [
    ["Cough"],["Fever"],["No Smell"]
]

gr.Interface.load("huggingface/ajitrajasekharan/biomedical",title=title,description=description,article=article, examples=examples, allow_flagging="never",enable_queue=True).launch()