| |
| |
| |
| |
| import torch |
|
|
|
|
| class ChatBotModel: |
| def __init__(self): |
| """ |
| Chat using AI generation |
| """ |
| self.history = [] |
|
|
| def reset_chat(self): |
| """ |
| Reset chat by cleaning history |
| """ |
| self.history = [] |
|
|
| def load_model( |
| self, |
| model_name: str = "wangchanglm", |
| return_dict: bool = True, |
| load_in_8bit: bool = False, |
| device: str = "cuda", |
| torch_dtype=torch.float16, |
| offload_folder: str = "./", |
| low_cpu_mem_usage: bool = True, |
| ): |
| """ |
| Load model |
| |
| :param str model_name: Model name (Now, we support wangchanglm only) |
| :param bool return_dict: return_dict |
| :param bool load_in_8bit: load model in 8bit |
| :param str device: device (cpu, cuda or other) |
| :param torch_dtype torch_dtype: torch_dtype |
| :param str offload_folder: offload folder |
| :param bool low_cpu_mem_usage: low cpu mem usage |
| """ |
| if model_name == "wangchanglm": |
| from pythainlp.generate.wangchanglm import WangChanGLM |
|
|
| self.model = WangChanGLM() |
| self.model.load_model( |
| model_path="pythainlp/wangchanglm-7.5B-sft-en-sharded", |
| return_dict=return_dict, |
| load_in_8bit=load_in_8bit, |
| offload_folder=offload_folder, |
| device=device, |
| torch_dtype=torch_dtype, |
| low_cpu_mem_usage=low_cpu_mem_usage, |
| ) |
| else: |
| raise NotImplementedError(f"We doesn't support {model_name}.") |
|
|
| def chat(self, text: str) -> str: |
| """ |
| Chatbot |
| |
| :param str text: text for asking chatbot with. |
| :return: answer from chatbot. |
| :rtype: str |
| :Example: |
| :: |
| |
| from pythainlp.chat import ChatBotModel |
| import torch |
| |
| chatbot = ChatBotModel() |
| chatbot.load_model(device="cpu",torch_dtype=torch.bfloat16) |
| |
| print(chatbot.chat("สวัสดี")) |
| # output: ยินดีที่ได้รู้จัก |
| |
| print(chatbot.history) |
| # output: [('สวัสดี', 'ยินดีที่ได้รู้จัก')] |
| """ |
| _temp = "" |
| if self.history: |
| for h, b in self.history: |
| _temp += ( |
| self.model.PROMPT_DICT["prompt_chatbot"].format_map( |
| {"human": h, "bot": b} |
| ) |
| + self.model.stop_token |
| ) |
| _temp += self.model.PROMPT_DICT["prompt_chatbot"].format_map( |
| {"human": text, "bot": ""} |
| ) |
| _bot = self.model.gen_instruct(_temp) |
| self.history.append((text, _bot)) |
| return _bot |
|
|
