Update app.py

app.py

@@ -8,6 +8,7 @@ first = """informal english: corn fields are all across illinois, visible once y
 def get_model():
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/GPTNeo350MInformalToFormalLincoln2")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln21")
+    #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln40")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/Points3")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/GPTNeo1.3BPointsLincolnFormalInformal")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/MediumInformalToFormalLincoln")
@@ -17,13 +18,13 @@ def get_model():
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/MediumInformalToFormalLincoln3")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/GPT2Neo1.3BPoints2")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/GPT2Neo1.3BPoints3")
-    model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln40")
+    model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln41")
     tokenizer = AutoTokenizer.from_pretrained("BigSalmon/Points2")
     return model, tokenizer
     
 model, tokenizer = get_model()
 
-st.text('''For Prompt Templates: https://huggingface.co/BigSalmon/InformalToFormalLincoln35''')
+st.text('''For Prompt Templates: https://huggingface.co/BigSalmon/InformalToFormalLincoln41''')
 
 temp = st.sidebar.slider("Temperature", 0.7, 1.5)
 number_of_outputs = st.sidebar.slider("Number of Outputs", 5, 50)