Update app.py

app.py

@@ -4,11 +4,10 @@ import gradio as gr
 from transformers import T5ForConditionalGeneration, T5Tokenizer
 #question_model = T5ForConditionalGeneration.from_pretrained('ramsrigouthamg/t5_squad_v1')
 #question_tokenizer = T5Tokenizer.from_pretrained('t5-base')
-
+question_model = T5ForConditionalGeneration.from_pretrained('ramsrigouthamg/t5_squad_v1')
+question_tokenizer = T5Tokenizer.from_pretrained('t5-small')
 
 def get_question(context, answer):
-    question_model = T5ForConditionalGeneration.from_pretrained('ramsrigouthamg/t5_squad_v1')
-    question_tokenizer = T5Tokenizer.from_pretrained('t5-small')
     text = "context: {} answer: {}".format(context, answer)
     #max_len = 512
     #encoding = question_tokenizer.encode_plus(text, max_length=max_len, padding='max_length', truncation=True, return_tensors="pt")