Update app.py

app.py

@@ -13,8 +13,11 @@ 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/InformalToFormalLincoln118Paraphrase")
-    model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln118Paraphrase")
+    tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln119Paraphrase")
+    model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln119Paraphrase")
+    
+    #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln118Paraphrase")
+    #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln118Paraphrase")
 
     #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln86Paraphrase")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln86Paraphrase")