Update app.py

app.py

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