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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) |