Update app.py

app.py

@@ -21,8 +21,8 @@ def vilt_vqa(image, question):
   return answer
 
 # Load FLAN-T5
-t5_tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-xl")
-t5_model = T5ForConditionalGeneration.from_pretrained("google/flan-t5-xl", device_map="auto")
+t5_tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-large")
+t5_model = T5ForConditionalGeneration.from_pretrained("google/flan-t5-large", device_map="auto")
 
 def flan_t5_complete_sentence(question, answer):
   input_text = f"A question: {question} An incomplete answer: {answer}. Based on these, answer the question with a complete sentence without extra information."