import gradio as gr
from nligraphspacy import NLIGRAPH

def greet(text):
    nligraph = NLIGRAPH.RelationEntityExtract(text)
    return nligraph.get_seperate_entities()

title = "Knowledge Graph NLP"
description = "<p style= 'color:yellow'>Understand components of sentences in a better way</p>" 
article = "<p style= 'color:yellow; text-align:center;'><a href='https://github.com/Vishnunkumar/nligraphspacy' target='_blank'>nligraphspacy</a></p>"
iface = gr.Interface(fn=greet, inputs="text", outputs="json", title=title, description=description, article=article)
iface.launch()