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from __future__ import annotations
import random
import requests
from ..typing import Any, CreateResult
from .base_provider import BaseProvider
class Wuguokai(BaseProvider):
url = 'https://chat.wuguokai.xyz'
supports_gpt_35_turbo = True
working = True
@staticmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
stream: bool,
**kwargs: Any,
) -> CreateResult:
base = ''
for message in messages:
base += '%s: %s\n' % (message['role'], message['content'])
base += 'assistant:'
headers = {
'authority': 'ai-api.wuguokai.xyz',
'accept': 'application/json, text/plain, */*',
'accept-language': 'id-ID,id;q=0.9,en-US;q=0.8,en;q=0.7',
'content-type': 'application/json',
'origin': 'https://chat.wuguokai.xyz',
'referer': 'https://chat.wuguokai.xyz/',
'sec-ch-ua': '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Windows"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-site',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36'
}
data ={
"prompt": base,
"options": {},
"userId": f"#/chat/{random.randint(1,99999999)}",
"usingContext": True
}
response = requests.post("https://ai-api20.wuguokai.xyz/api/chat-process", headers=headers, timeout=3, json=data, proxies=kwargs['proxy'] if 'proxy' in kwargs else {})
_split = response.text.split("> 若回答失败请重试或多刷新几次界面后重试")
if response.status_code == 200:
if len(_split) > 1:
yield _split[1].strip()
else:
yield _split[0].strip()
else:
raise Exception(f"Error: {response.status_code} {response.reason}")
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool")
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
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