Update app.py

app.py

@@ -15,7 +15,7 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
 from transformers import AutoTokenizer, AutoModelWithLMHead
 tokenizer = AutoTokenizer.from_pretrained("gpt2")
-model = AutoModelWithLMHead.from_pretrained("BigSalmon/MrLincoln2")
+model = AutoModelWithLMHead.from_pretrained("BigSalmon/MrLincoln3")
 
 with st.form(key='my_form'):
     prompt = st.text_area(label='Enter sentence')
@@ -30,7 +30,7 @@ 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(50)
+        best_logits, best_indices = logits.topk(60)
         best_words = [tokenizer.decode([idx.item()]) for idx in best_indices]
         text.append(best_indices[0].item())
         best_probabilities = probabilities[best_indices].tolist()