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+ ---
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+
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+ thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png
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+
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+ tags:
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+
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+ - conversational
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+
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+ license: mit
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+
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+ ---
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+
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+ # DialoGPT Trained on the Speech of a Game Character
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+
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+ This is an instance of [microsoft/DialoGPT-small](https://huggingface.co/microsoft/DialoGPT-small) trained on a game character, Neku Sakuraba 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).
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+
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+ Chat with the model:
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+
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelWithLMHead
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+
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+ tokenizer = AutoTokenizer.from_pretrained("r3dhummingbird/DialoGPT-medium-neku")
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+
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+ model = AutoModelWithLMHead.from_pretrained("r3dhummingbird/DialoGPT-medium-neku")
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+
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+ # Let's chat for 4 lines
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+ for step in range(4):
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+ # encode the new user input, add the eos_token and return a tensor in Pytorch
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+ new_user_input_ids = tokenizer.encode(input(">> User:") + tokenizer.eos_token, return_tensors='pt')
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+ # print(new_user_input_ids)
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+
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+ # append the new user input tokens to the chat history
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+ bot_input_ids = torch.cat([chat_history_ids, new_user_input_ids], dim=-1) if step > 0 else new_user_input_ids
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+
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+ # generated a response while limiting the total chat history to 1000 tokens,
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+ chat_history_ids = model.generate(
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+ bot_input_ids, max_length=200,
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+ pad_token_id=tokenizer.eos_token_id,
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+ no_repeat_ngram_size=3,
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+ do_sample=True,
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+ top_k=100,
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+ top_p=0.7,
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+ temperature=0.8
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+ )
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+
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+ # pretty print last ouput tokens from bot
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+ print("NekuBot: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)))
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+ ```