Update app.py

app.py

@@ -8,15 +8,18 @@ from transformers.activations import get_activation
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
 
-st.title('GPT2: To see all prompt outlines: https://huggingface.co/BigSalmon/InformalToFormalLincoln64Paraphrase')
+st.title('GPT2: To see all prompt outlines: https://huggingface.co/BigSalmon/InformalToFormalLincoln100Paraphrase')
 
 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/InformalToFormalLincoln100Paraphrase")
-    model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln100Paraphrase")
+    tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln102Paraphrase")
+    model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln102Paraphrase")
+
+    #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln100Paraphrase")
+    #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln100Paraphrase")
 
     #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln98Paraphrase")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln98Paraphrase")