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import gradio as gr
from transformers import pipeline
pipe = pipeline("translation", model="facebook/nllb-200-distilled-600M")
def predict(text):
return pipe(text,src_lang='eng_Latn',tgt_lang='zho_Hans')[0]['translation_text']
demo = gr.Interface(
fn=predict,
inputs='text',
outputs='text',
)
demo.launch(share=True) |