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| thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png | |
| tags: | |
| - conversational | |
| license: mit | |
| --- | |
| # DialoGPT Trained on WhatsApp chats | |
| This is an instance of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) trained on WhatsApp chats or you can train this model on [a Kaggle game script dataset](https://www.kaggle.com/ruolinzheng/twewy-game-script). | |
| feel free to ask me questions on discord server [discord server](https://discord.gg/Gqhje8Z7DX) | |
| Chat with the model: | |
| ```python | |
| from transformers import AutoTokenizer, AutoModelWithLMHead | |
| tokenizer = AutoTokenizer.from_pretrained("harrydonni/DialoGPT-small-Michael-Scott") | |
| model = AutoModelWithLMHead.from_pretrained("harrydonni/DialoGPT-small-Michael-Scott") | |
| # 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("Michael: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True))) | |
| ``` | |
| this is done by shreesha thank you...... |