2023-09-26 08:03:37 +00:00
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from __future__ import annotations
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import time
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import hashlib
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from ..typing import AsyncGenerator
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2023-10-02 04:47:07 +00:00
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from ..requests import StreamSession
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2023-09-26 08:03:37 +00:00
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from .base_provider import AsyncGeneratorProvider
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class Aibn(AsyncGeneratorProvider):
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url = "https://aibn.cc"
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supports_gpt_35_turbo = True
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working = 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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2023-10-05 03:13:37 +00:00
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timeout: int = 30,
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2023-09-26 08:03:37 +00:00
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**kwargs
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) -> AsyncGenerator:
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2023-10-05 03:13:37 +00:00
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async with StreamSession(impersonate="chrome107", timeout=timeout) as session:
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2023-09-26 08:03:37 +00:00
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timestamp = int(time.time())
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data = {
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"messages": messages,
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"pass": None,
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"sign": generate_signature(timestamp, messages[-1]["content"]),
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"time": timestamp
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}
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async with session.post(f"{cls.url}/api/generate", json=data) as response:
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response.raise_for_status()
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2023-10-02 00:04:22 +00:00
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async for chunk in response.iter_content():
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2023-09-26 08:03:37 +00:00
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yield chunk.decode()
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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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]
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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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def generate_signature(timestamp: int, message: str, secret: str = "undefined"):
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data = f"{timestamp}:{message}:{secret}"
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return hashlib.sha256(data.encode()).hexdigest()
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