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| import os | |
| from zhipuai import ZhipuAI | |
| from typing import List, Optional, Tuple, Dict | |
| from http import HTTPStatus | |
| History = List[Tuple[str, str]] | |
| Messages = List[Dict[str, str]] | |
| default_system = 'You are a helpful assistant.' | |
| YOUR_API_TOKEN = os.getenv('YOUR_API_TOKEN') | |
| SYSTEM = "assistant" | |
| USER = "user" | |
| ASSISTANT = "assistant" | |
| def clear_session() -> History: | |
| return '', [] | |
| def modify_system_session(system: str) -> str: | |
| if system is None or len(system) == 0: | |
| system = default_system | |
| return system, system, [] | |
| def history_to_messages(history: History, system: str) -> Messages: | |
| messages = [{'role': SYSTEM, 'content': system}] | |
| for h in history: | |
| messages.append({'role': USER, 'content': h[0]}) | |
| messages.append({'role': ASSISTANT, 'content': h[1]}) | |
| return messages | |
| def messages_to_history(messages: Messages) -> Tuple[str, History]: | |
| assert messages[0]['role'] == SYSTEM | |
| system = messages[0]['content'] | |
| history = [] | |
| for q, r in zip(messages[1::2], messages[2::2]): | |
| history.append([q['content'], r['content']]) | |
| return system, history | |
| def model_chat(query: Optional[str], history: Optional[History], system: str | |
| ) -> Tuple[str, str, History]: | |
| if query is None: | |
| query = '' | |
| if history is None: | |
| history = [] | |
| messages = history_to_messages(history, system) | |
| messages.append({'role': USER, 'content': query}) | |
| client = ZhipuAI(api_key=YOUR_API_TOKEN) # 填写您自己的APIKey | |
| gen = client.chat.completions.create( | |
| model="glm-4", # 填写需要调用的模型名称 | |
| messages=messages, | |
| stream=True | |
| ) | |
| content = "" | |
| for response in gen: | |
| # print(response) | |
| role = response.choices[0].delta.role | |
| content += response.choices[0].delta.content | |
| system, history = messages_to_history(messages + [{'role': role, 'content': content}]) | |
| yield '', history, system | |
| if __name__ == '__main__': | |
| output = model_chat("who are you?", [], "You are a helpful assistant.") | |
| for o in output: | |
| print(o) |