Update app.py

app.py

@@ -7,7 +7,7 @@ import torch.nn as nn
 from transformers.activations import get_activation
 from transformers import AutoTokenizer, AutoModelWithLMHead, AutoModelForCausalLM
 
-st.title('GPT2: To see all prompt outlines: https://huggingface.co/BigSalmon/InformalToFormalLincoln40')
+st.title('GPT2: To see all prompt outlines: https://huggingface.co/BigSalmon/InformalToFormalLincoln46')
 #device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 number_of_outputs = st.sidebar.slider("Number of Outputs", 50, 350)
 
@@ -33,9 +33,10 @@ def get_model():
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln35")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln39")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln40")
+    #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln44")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/Points4")
     tokenizer = AutoTokenizer.from_pretrained("BigSalmon/GPTNeo350MInformalToFormalLincoln")
-    model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln44")
+    model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln46")
     return model, tokenizer
     
 model, tokenizer = get_model()