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import gradio as gr | |
#os is used to change the directory | |
#spacy is used for the NER | |
import spacy | |
from spacy import displacy | |
import en_core_web_sm | |
nlp = spacy.load("en_core_web_sm") | |
def ner_spacy(sentence): | |
doc = nlp(sentence) | |
ents = [(e.text, e.label_) for e in doc.ents] | |
return ents | |
examples = [ | |
"where did Wandobire's laptop come from, was it africa or uganda?", | |
] | |
gr.Interface(ner_spacy, gr.Textbox(placeholder="Enter sentence here..."), | |
gr.HighlightedText(), examples=examples).launch(share=True) |