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from transformers import T5ForConditionalGeneration, T5Tokenizer
import gradio as grad
text2text_tkn= T5Tokenizer.from_pretrained("t5-small")
mdl = T5ForConditionalGeneration.from_pretrained("t5-small")
def text2text_acceptable_sentence(text):
inp = "cola sentence: "+text
enc = text2text_tkn(inp, return_tensors="pt")
tokens = mdl.generate(**enc)
response=text2text_tkn.batch_decode(tokens)
return response
para=grad.Textbox(lines=1, label="English Text", placeholder="Text in English")
out=grad.Textbox(lines=1, label="Whether the sentence is acceptable or not")
grad.Interface(text2text_acceptable_sentence, inputs=para, outputs=out).launch()
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