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