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from transformers import T5ForConditionalGeneration, T5Tokenizer
import gradio as grad
text2text_tkn= T5Tokenizer.from_pretrained("t5-large")
mdl = T5ForConditionalGeneration.from_pretrained("t5-large")
def text2text_paraphrase(sentence1,sentence2):
inp1 = "mrpc sentence1: "+sentence1
inp2 = "sentence2: "+sentence2
combined_inp=inp1+" "+inp2
enc = text2text_tkn(combined_inp, return_tensors="pt")
tokens = mdl.generate(**enc)
response=text2text_tkn.batch_decode(tokens)
return response
sent1=grad.Textbox(lines=1, label="Sentence1",placeholder="Text in English")
sent2=grad.Textbox(lines=1, label="Sentence2",placeholder="Text in English")
out=grad.Textbox(lines=1, label="Whether the sentence is acceptable or not")
grad.Interface(text2text_paraphrase, inputs=[sent1,sent2],outputs=out).launch() |