Update app.py

app.py

@@ -5,15 +5,16 @@ 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
+    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
 
 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()