acumplid commited on
Commit
eee28ed
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1 Parent(s): 99fa792

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Files changed (1) hide show
  1. app.py +11 -3
app.py CHANGED
@@ -17,8 +17,16 @@ def ner(text):
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  output = ner_pipeline(text)
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  return {"text": text, "entities": output}
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- demo = gr.Interface(ner,
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- gr.Textbox(placeholder="Enter sentence here..."),
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- gr.HighlightedText(), **AinaGradioTheme().get_kwargs())
 
 
 
 
 
 
 
 
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  demo.launch()
 
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  output = ner_pipeline(text)
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  return {"text": text, "entities": output}
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+ demo = gr.Interface(
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+ ner,
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+ gr.Textbox(placeholder="Enter sentence here..."),
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+ gr.HighlightedText(),
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+ **AinaGradioTheme().get_kwargs(),
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+ flagging_options=None,
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+ article="""
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+ Multiner is a Named Entity Recognition (NER) model for the Catalan language fine-tuned from the [BERTa] model, a RoBERTa base model pre-trained on a medium-size corpus collected from publicly available corpora and crawlers (check the BERTa model card for more details).
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+ It has been trained with a dataset (CEIL: Catalan Entity Identification and Linking ) that contains 9 main types and 52 subtypes on all kinds of short texts, with almost 59K documents.
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+ Aquest resultat ha estat impulsat i finançat per la Generalitat de Catalunya mitjançant el projecte Aina (https://projecteaina.cat/).
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+ """)
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  demo.launch()