Update app.py

app.py

@@ -28,8 +28,8 @@ def load_model():
     nltk.download('omw-1.4')
     ## summary_mod_name = os.environ["summary_mod_name"]
     ## question_mod_name = os.environ["question_mod_name"]
-    summary_mod_name = ['t5-small']
-    question_mod_name = ['t5-small']
+    summary_mod_name = 't5-small'
+    question_mod_name = 't5-small'
     summary_model = T5ForConditionalGeneration.from_pretrained(summary_mod_name)
     summary_tokenizer = T5Tokenizer.from_pretrained(summary_mod_name)
     device = torch.device("cuda" if torch.cuda.is_available() else "cpu")