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import gradio as gr | |
import classla | |
classla.download('hr') | |
nlp = classla.Pipeline('hr') | |
def greet(name): | |
doc = nlp(name) | |
#print(doc.to_conll()) | |
return doc.to_conll() | |
iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
iface.launch() |