Update app.py

app.py

@@ -16,8 +16,8 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 @st.cache(allow_output_mutation=True)
 def get_model():
 
-    tokenizer = GPTNeoXTokenizerFast.from_pretrained("CarperAI/FIM-NeoX-1.3B")
-    model = GPTNeoXForCausalLM.from_pretrained("BigSalmon/FormalInformalConcise2-FIM-NeoX-1.3B")
+    tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln85Paraphrase")
+    model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln85Paraphrase")
 
     #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln84Paraphrase")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln84Paraphrase")