File size: 716 Bytes
e170d6a 2349e1c d6062ad |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 |
from transformers import AutoModel,AutoTokenizer,AutoModelForSeq2SeqLM
import gradio as grad
mdl_name = "Helsinki-NLP/opus-mt-en-fr"
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
txt=grad.Textbox(lines=1, label="English", placeholder="English Text here"))
out=grad.Textbox(lines=1, label="French")
grad.Interface(translate, inputs=txt, outputs=out).launch() |