readme: ---
  thumbnail: https://cdn.discordapp.com/app-icons/870239976690970625/c02cae78ae105f07969cfd8f8ea3d0a0.png
  tags:
  - conversational
  license: mit
  ---
  An generative AI made using [microsoft/DialoGPT-small](https://huggingface.co/microsoft/DialoGPT-small).
  
  Trained on:
  
       https://www.kaggle.com/Cornell-University/movie-dialog-corpus
  
       https://www.kaggle.com/jef1056/discord-data
  
  
  
  Important:
  
        The AI can be a bit weird at times as it is still undergoing training!
        
        At times it send stuff using :<random_wierd_words>: as they are discord emotes.
        
        It also send random @RandomName as it is trying to ping people.
        
        This works well on discord but on the web not so much but it is easy enough to remove such stuff using [re.sub](https://docs.python.org/3/library/re.html#re.sub)
    
  
  
  Issues:
  
       The AI like with all conversation AI lacks a character, it changes its name way too often. This can be solved using an AIML chatbot to give it a stable character!
       
  [Live Demo](https://dumbot-331213.uc.r.appspot.com/)
   
  Example:
  ```python
  from transformers import AutoTokenizer, AutoModelWithLMHead
    
  tokenizer = AutoTokenizer.from_pretrained("deepparag/DumBot")
  model = AutoModelWithLMHead.from_pretrained("deepparag/DumBot")
  # 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=4,       
          do_sample=True, 
          top_k=100, 
          top_p=0.7,
          temperature=0.8
      )
      
      # pretty print last ouput tokens from bot
      print("DumBot: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)))
  ```