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import gradio as gr
from examples.common import NLP
from examples.keyphrases import demo as keyphrases_demo
from examples.anon import demo as anon_demo
from examples.relation import demo as relation_demo
from examples.dbpedia import demo as dbpedia_demo
demo = gr.Blocks()
with demo:
gr.Markdown("# HuSpaCy Examples")
gr.TabbedInterface(
interface_list=[keyphrases_demo, anon_demo, relation_demo, dbpedia_demo],
tab_names=["Keyphrase extraction", "Text anonymization", "Relation Extraction", "DBpedia Spotlight"],
)
if __name__ == '__main__':
NLP.add_pipe("dbpedia_spotlight", config={'dbpedia_rest_endpoint': 'https://dbpedia-spotlight.dsd.sztaki.hu/hu', 'overwrite_ents': False})
demo.launch()
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