fix typo

NeuroPredPLM/predict.py

@@ -13,6 +13,6 @@ def predict(peptide_list, model_path, device='cpu'):
         prob, att = neuroPred_model(peptide_list, device)
         pred = torch.softmax(prob, dim=-1).cpu().tolist()
         att = att.cpu().numpy()
-        out = {'Neuroppetide':pred[0][1], "Non-neuropeptide":pred[0][0]}
+        out = {'Neuropeptide':pred[0][1], "Non-neuropeptide":pred[0][0]}
     return out