Create app.py

app.py

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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_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()