Update app.py

app.py

@@ -37,7 +37,8 @@ informal english:''')
 @st.cache(allow_output_mutation=True)
 def get_model():
     tokenizer = AutoTokenizer.from_pretrained("gpt2")
-    model = AutoModelWithLMHead.from_pretrained("BigSalmon/MrLincoln12")
+    #model = AutoModelWithLMHead.from_pretrained("BigSalmon/MrLincoln12")
+    model = AutoModelWithLMHead.from_pretrained("BigSalmon/MrLincoln125MNeo")
     return model, tokenizer
     
 model, tokenizer = get_model()
@@ -55,7 +56,7 @@ with st.form(key='my_form'):
         logits, past_key_values = model(myinput, past_key_values = past_key_values, return_dict=False)
         logits = logits[0,-1]
         probabilities = torch.nn.functional.softmax(logits)
-        best_logits, best_indices = logits.topk(60)
+        best_logits, best_indices = logits.topk(100)
         best_words = [tokenizer.decode([idx.item()]) for idx in best_indices]
         text.append(best_indices[0].item())
         best_probabilities = probabilities[best_indices].tolist()