Update app.py

app.py

@@ -12,6 +12,10 @@ first = """informal english: corn fields are all across illinois, visible once y
 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/InformalToFormalLincoln86Paraphrase")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln86Paraphrase")
     
@@ -107,9 +111,9 @@ def get_model():
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln109Paraphrase")
 
     #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln116Paraphrase")
-    model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln116Paraphrase")
+    #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln116Paraphrase")
 
-    tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln115Paraphrase")
+    #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln115Paraphrase")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln115Paraphrase")
 
     #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln113Paraphrase")