Update app.py

app.py

@@ -4,17 +4,16 @@ import gradio as grad
 text2text_tkn= T5Tokenizer.from_pretrained("t5-small")
 mdl = T5ForConditionalGeneration.from_pretrained("t5-small")
 
-def text2text_deductible(sentence1,sentence2):
-    inp1 = "rte 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
+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 sentence2 is deductible from sentence1")
-grad.Interface(text2text_deductible, inputs=[sent1,sent2], outputs=out).launch()
+out=grad.Textbox(lines=1, label="Whether the sentence is acceptable or not")
+grad.Interface(text2text_paraphrase, inputs=[sent1,sent2], outputs=out).launch()