Update app.py

app.py

@@ -14,8 +14,11 @@ 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/InformalToFormalLincolnMediumParaphraseConcise")
-    model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincolnMediumParaphraseConcise")
+    tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln92Paraphrase")
+    model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln92Paraphrase")
+    
+    #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincolnMediumParaphraseConcise")
+    #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincolnMediumParaphraseConcise")
 
     #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln91Paraphrase")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln91Paraphrase")