readme: ## NeuroPred-PLM: an interpretable and robust model for prediction of neuropeptides by protein language model
  [![PyPI - Version](https://img.shields.io/pypi/v/NeuroPredPLM.svg?style=flat)](https://pypi.org/project/NeuroPredPLM/) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/NeuroPredPLM.svg)](https://pypi.org/project/NeuroPredPLM/) [![GitHub - LICENSE](https://img.shields.io/github/license/isyslab-hust/NeuroPred-PLM.svg?style=flat)](./LICENSE) ![PyPI - Downloads](https://img.shields.io/pypi/dm/NeuroPredPLM)
  
  
  ### Requirements
  To install requirements:
  
  ```
  # latest version
  pip install git+https://github.com/ISYSLAB-HUST/NeuroPred-PLM.git
  # stable version
  pip install NeuroPredPLM
  ```
  ### Usage [<img src="https://colab.research.google.com/assets/colab-badge.svg">](https://colab.research.google.com/github/ISYSLAB-HUST/NeuroPred-PLM/blob/master/notebook/NeuroPred_PLM_test.ipynb)
  
  
  ```
  import torch
  from NeuroPredPLM.predict import predict
  data = [
      ("peptide_1", "IGLRLPNMLKF"),
      ("peptide_2", "QAAQFKVWSASELVD"),
      ("peptide_3","LRSPKMMHKSGCFGRRLDRIGSLSGLGCNVLRKY")
  ]
  
  device = "cuda" if torch.cuda.is_available() else "cpu" 
  neuropeptide_pred = predict(data,device)
  # {peptide_id:[Type:int(1->neuropeptide,0->non-neuropeptide), attention score:nd.array]}
  ```
  ### License
  Released under the [MIT license](LICENSE).
  
  ### Contact
  If you have any questions, comments, or would like to report a bug, please file a Github issue or contact me at wanglei94@hust.edu.cn.