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chat.py
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chat.py
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import openai
import time
import os
pandora=False # 控制是否使用 Fake API
history = [] # 存储对话历史的列表
openai.api_key = os.getenv("openai_api_key")
# 读取角色信息
with open("role.txt", "r", encoding="utf-8") as f:
role = f.read()
def get_total_tokens(messages): #获取令牌数
return sum(len(message['content'].split()) * 1.5 for message in messages)
def truncate_history(history, max_tokens=1500): #缩减历史记录
while get_total_tokens(history) > max_tokens:
history.pop(0)
def gpt_api(query, max, if_print, tem, history, rol=role):
"""
使用 OpenAI 的 ChatCompletion 创建聊天响应。
参数:
- query: 用户的查询内容
- max: 响应的最大令牌数
- if_print: 控制是否在控制台打印每个响应片段
- tem: 生成响应的温度(创造性)
- history: 对话历史记录(列表)
- rol: 角色信息(字符串)
"""
history.append({'role': 'user', 'content': query})
truncate_history(history)
messages = [
{"role": "system", "content": rol}
]
messages.extend(history)
response = openai.ChatCompletion.create(
model='gpt-4',
messages=messages,
temperature=tem,
max_tokens=max,
stream=True
)
result = ""
for chunk in response:
if 'choices' in chunk and 'delta' in chunk['choices'][0]:
chunk_msg = chunk['choices'][0]['delta'].get('content', '')
result += chunk_msg
if if_print:
print(chunk_msg, end='', flush=True)
time.sleep(0.05)
print("\n\n")
history.append({'role': 'assistant', 'content': result})
return result
while True:
user_input = input("You: ")
if user_input == "exit":
break
reply = gpt_api(user_input, 1000, True, 1, history)