readme: ---
  pipeline_tag: conversational
  language:
  - en
  library_name: transformers
  ---
  
  This is Conversational chatbot built on top of DialoGPT-large with the inclusion of Harry Potter scripts, downloaded from [Kaggle here](https://www.kaggle.com/datasets/gulsahdemiryurek/harry-potter-dataset). 
  The script is merged from 3 Harry Potter movies
  
  Thanks to Lynn Zhang for her [tutorial here](https://www.freecodecamp.org/news/discord-ai-chatbot/) that inspired me to build this chatbot.
  
  ## How to run the model
  
  Due to limitation in cloud computing from Hugging Face it might not be able to run the deployed model here, so I download the model to run on my local HPC system.
  Here is the script that I used to enable the 4 line chat:
  
  
  ```python
  import torch
  from transformers import AutoTokenizer, AutoModelForCausalLM
  
  tokenizer = AutoTokenizer.from_pretrained("vuminhtue/DialoGPT-large-HarryPotter3")
  
  model = AutoModelForCausalLM.from_pretrained("vuminhtue/DialoGPT-large-HarryPotter3")
  
  
  # 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=10, 
          top_p=0.5,
          temperature=0.5
      )
      
      # pretty print last ouput tokens from bot
      print("HarryPotter_Bot: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)))
  ```
  