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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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from g4f.requests import AsyncSession |
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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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**kwargs |
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) -> AsyncGenerator: |
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async with AsyncSession(impersonate="chrome107") as session: |
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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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async for chunk in response.content.iter_any(): |
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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() |
