Update app.py

app.py

@@ -15,8 +15,8 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 @st.cache(allow_output_mutation=True)
 def get_model():
 
-    #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln31")
-    #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln31")
+    tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln31")
+    model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln31")
     
     #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln21")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln21")
@@ -24,8 +24,8 @@ def get_model():
     #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/PointsOneSent")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/PointsOneSent")
     
-    tokenizer = AutoTokenizer.from_pretrained("BigSalmon/PointsToSentence")
-    model = AutoModelForCausalLM.from_pretrained("BigSalmon/PointsToSentence")
+    #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/PointsToSentence")
+    #model = AutoModelForCausalLM.from_pretrained("BigSalmon/PointsToSentence")
     
     return model, tokenizer