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from transformers import MT5ForConditionalGeneration, AutoTokenizer
import gradio as grad
mdl = MT5ForConditionalGeneration.from_pretrained("google/mt5-small")
tokenizer = AutoTokenizer.from_pretrained("google/mt5-small")
def translation_CN2EN(text):
inp = "translate English to German: " + text
enc = tokenizer(inp, return_tensors="pt").input_ids
tokens = mdl.generate(enc)
response = tokenizer.decode(tokens[0], skip_special_tokens=True)
return response
para=grad.Textbox(lines=1, label="Chinese Text", placeholder="Text in Chinese")
out=grad.Textbox(lines=1, label="English Translation")
grad.Interface(translation_CN2EN, inputs=para, outputs=out).launch()
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