mirror of
https://github.com/xtekky/gpt4free.git
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76 lines
2.4 KiB
Python
76 lines
2.4 KiB
Python
from __future__ import annotations
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import json
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from ..requests import StreamSession
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from .base_provider import AsyncGeneratorProvider
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from ..typing import AsyncResult, Messages
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class Ylokh(AsyncGeneratorProvider):
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url = "https://chat.ylokh.xyz"
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working = False
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supports_message_history = 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: Messages,
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stream: bool = True,
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proxy: str = None,
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timeout: int = 120,
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**kwargs
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) -> AsyncResult:
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model = model if model else "gpt-3.5-turbo"
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headers = {"Origin": cls.url, "Referer": f"{cls.url}/"}
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data = {
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"messages": messages,
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"model": model,
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"temperature": 1,
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"presence_penalty": 0,
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"top_p": 1,
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"frequency_penalty": 0,
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"allow_fallback": True,
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"stream": stream,
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**kwargs
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}
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async with StreamSession(
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headers=headers,
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proxies={"https": proxy},
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timeout=timeout
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) as session:
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async with session.post("https://chatapi.ylokh.xyz/v1/chat/completions", json=data) as response:
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response.raise_for_status()
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if stream:
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async for line in response.iter_lines():
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line = line.decode()
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if line.startswith("data: "):
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if line.startswith("data: [DONE]"):
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break
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line = json.loads(line[6:])
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if content := line["choices"][0]["delta"].get(
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"content"
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):
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yield content
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else:
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chat = await response.json()
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yield chat["choices"][0]["message"].get("content")
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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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("timeout", "int"),
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("temperature", "float"),
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("top_p", "float"),
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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})" |