Update app.py

app.py

@@ -43,7 +43,7 @@ def Page():
       solara.Markdown(f'{spans1}')
       outputs = model.generate(tokens, max_new_tokens=1, output_scores=True, return_dict_in_generate=True, pad_token_id=tokenizer.eos_token_id)
       scores = F.softmax(outputs.scores[0], dim=-1)
-      top_10 = torch.topk(scores, 10)+torch.bottomk(scores, 10)
+      top_10 = torch.topk(scores, 10)+torch.topk(scores, 10, largest=False)
       df = pd.DataFrame()
       df["probs"] = top_10.values[0]
       df["probs"] = [f"{value:.2%}" for value in df["probs"].values]