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import spacy import gradio as gr nlp = spacy.load("en_core_web_sm") def ner(sentence): doc = nlp(sentence) ents = [(e.text, e.label_) for e in doc.ents] return ents iface = gr.Interface(fn=ner, inputs="text", outputs = "text") iface.launch()
