readme: ---
  thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png
  tags:
  - conversational
  license: mit
  ---
  # DialoGPT Trained on a customized version of The Law of One.
  This is an instance of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) trained on the energy complex known as Ra. Some text has been changed from the original with the intention of making it fit our discord server better.
  I built a Discord AI chatbot based on this model for internal use within Siyris, Inc.
  Chat with the model:
  ```python
  from transformers import AutoTokenizer, AutoModelWithLMHead
    
  tokenizer = AutoTokenizer.from_pretrained("Siyris/SIY")
  model = AutoModelWithLMHead.from_pretrained("Siyris/SIY")
  # Let's chat for 4 lines
  for step in range(4):
      # encode the new user input, add the eos_token and return a tensor in Pytorch
      new_user_input_ids = tokenizer.encode(input(">> User:") + tokenizer.eos_token, return_tensors='pt')
      # print(new_user_input_ids)
      # append the new user input tokens to the chat history
      bot_input_ids = torch.cat([chat_history_ids, new_user_input_ids], dim=-1) if step > 0 else new_user_input_ids
      # generated a response while limiting the total chat history to 1000 tokens, 
      chat_history_ids = model.generate(
          bot_input_ids, max_length=200,
          pad_token_id=tokenizer.eos_token_id,  
          no_repeat_ngram_size=3,       
          do_sample=True, 
          top_k=100, 
          top_p=0.7,
          temperature=0.8
      )
      
      # pretty print last ouput tokens from bot
      print("SIY: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)))
  ```