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#import gradio as gr | |
#gr.load("models/SinaLab/ArabicWojood-FlatNER").launch() | |
from transformers import pipeline | |
import gradio as gr | |
ner_pipeline = pipeline("ner") | |
examples = [ | |
"Does Chicago have any stores and does Joe live here?", | |
] | |
def ner(text): | |
output = ner_pipeline(text) | |
return {"text": text, "entities": output} | |
demo = gr.Interface(ner, | |
gr.Textbox(placeholder="انا اسمي سامي"), | |
gr.HighlightedText(), | |
examples=examples) | |
demo.launch() | |