35 lines
1.5 KiB
Markdown
35 lines
1.5 KiB
Markdown
---
|
|
tags:
|
|
- conversational
|
|
license: mit
|
|
---
|
|
# DialoGPT Trained on the Speech of a Game Character
|
|
This is an instance of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) trained on a game character, Joshua from [The World Ends With You](https://en.wikipedia.org/wiki/The_World_Ends_with_You). The data comes from [a Kaggle game script dataset](https://www.kaggle.com/ruolinzheng/twewy-game-script).
|
|
Chat with the model:
|
|
```python
|
|
tokenizer = AutoTokenizer.from_pretrained('microsoft/DialoGPT-small')
|
|
model = AutoModelWithLMHead.from_pretrained('output-small')
|
|
|
|
# Let's chat for 5 lines
|
|
for step in range(100):
|
|
# 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=500,
|
|
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("AI: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)))
|
|
``` |