2023-09-03 08:26:26 +00:00
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from __future__ import annotations
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2023-07-28 10:07:17 +00:00
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import json
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2023-09-18 01:21:12 +00:00
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from curl_cffi.requests import AsyncSession
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2023-07-28 10:07:17 +00:00
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2023-09-18 01:21:12 +00:00
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from .base_provider import AsyncProvider, format_prompt
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2023-07-28 10:07:17 +00:00
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2023-09-18 01:21:12 +00:00
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class AItianhu(AsyncProvider):
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2023-09-05 15:27:24 +00:00
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url = "https://www.aitianhu.com"
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working = True
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2023-07-28 10:07:17 +00:00
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supports_gpt_35_turbo = True
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2023-09-05 15:27:24 +00:00
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@classmethod
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2023-09-18 01:21:12 +00:00
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async def create_async(
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cls,
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2023-07-28 10:07:17 +00:00
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model: str,
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messages: list[dict[str, str]],
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2023-09-05 15:27:24 +00:00
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proxy: str = None,
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**kwargs
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) -> str:
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data = {
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"prompt": format_prompt(messages),
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"options": {},
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"systemMessage": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully.",
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"temperature": 0.8,
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"top_p": 1,
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**kwargs
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}
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2023-09-18 01:21:12 +00:00
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async with AsyncSession(proxies={"https": proxy}, impersonate="chrome107", verify=False) as session:
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response = await session.post(cls.url + "/api/chat-process", json=data)
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response.raise_for_status()
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line = response.text.splitlines()[-1]
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line = json.loads(line)
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return line["text"]
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2023-09-05 15:27:24 +00:00
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2023-07-28 10:07:17 +00:00
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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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("proxy", "str"),
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("temperature", "float"),
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("top_p", "int"),
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]
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param = ", ".join([": ".join(p) for p in params])
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2023-09-17 21:23:54 +00:00
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return f"g4f.provider.{cls.__name__} supports: ({param})"
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