mirror of
https://github.com/xtekky/gpt4free.git
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74 lines
2.6 KiB
Python
74 lines
2.6 KiB
Python
from __future__ import annotations
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import random, json
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from g4f.requests import AsyncSession, StreamRequest
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from .base_provider import AsyncGeneratorProvider, format_prompt
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domains = {
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"gpt-3.5-turbo": ".aitianhu.space",
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"gpt-4": ".aitianhu.website",
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}
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class AItianhuSpace(AsyncGeneratorProvider):
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url = "https://chat3.aiyunos.top/"
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working = True
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supports_gpt_35_turbo = True
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: list[dict[str, str]],
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stream: bool = True,
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**kwargs
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) -> str:
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if not model:
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model = "gpt-3.5-turbo"
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elif not model in domains:
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raise ValueError(f"Model are not supported: {model}")
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chars = 'abcdefghijklmnopqrstuvwxyz0123456789'
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rand = ''.join(random.choice(chars) for _ in range(6))
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domain = domains[model]
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url = f'https://{rand}{domain}/api/chat-process'
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headers = {
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"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36",
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}
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async with AsyncSession(headers=headers, impersonate="chrome107", verify=False) as session:
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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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async with StreamRequest(session, "POST", url, json=data) as response:
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response.raise_for_status()
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async for line in response.content:
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line = json.loads(line.rstrip())
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if "detail" in line:
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content = line["detail"]["choices"][0]["delta"].get("content")
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if content:
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yield content
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elif "message" in line and "AI-4接口非常昂贵" in line["message"]:
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raise RuntimeError("Rate limit for GPT 4 reached")
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else:
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raise RuntimeError("Response: {line}")
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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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("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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return f"g4f.provider.{cls.__name__} supports: ({param})"
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