Eng_Ger_Trans / app.py
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Create app.py
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
import gradio as grad
mdl_name = "Helsinki-NLP/opus-mt-en-de"
mdl = AutoModelForSeq2SeqLM.from_pretrained(mdl_name)
my_tkn = AutoTokenizer.from_pretrained(mdl_name)
#opus_translator = pipeline("translation", model=mdl_name)
def translate(text):
inputs = my_tkn(text,
return_tensors="pt")
trans_output = mdl.generate(**inputs)
response = my_tkn.decode(trans_output[0],
skip_special_tokens = True)
#response = opus_translator(text)
return response
grad.Interface(translate,
inputs=["text",],
outputs="text").launch()