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58 lines
2.1 KiB
Python
58 lines
2.1 KiB
Python
from __future__ import annotations
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from aiohttp import ClientSession
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from ..typing import AsyncResult, Messages
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from .base_provider import AsyncGeneratorProvider
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class Aura(AsyncGeneratorProvider):
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url = "https://openchat.team"
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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: Messages,
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proxy: str = None,
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**kwargs
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) -> AsyncResult:
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headers = {
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"Accept": "*/*",
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"Accept-Encoding": "gzip, deflate, br",
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"Accept-Language": "en-GB,en-US;q=0.9,en;q=0.8",
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"Content-Type": "application/json",
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"Origin": f"{cls.url}",
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"Referer": f"{cls.url}/",
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"Sec-Ch-Ua": '"Not_A Brand";v="8", "Chromium";v="120", "Google Chrome";v="120"',
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"Sec-Ch-Ua-Mobile": "?0",
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"Sec-Ch-Ua-Platform": '"Linux"',
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"Sec-Fetch-Dest": "empty",
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"Sec-Fetch-Mode": "cors",
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"Sec-Fetch-Site": "same-origin",
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"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
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}
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async with ClientSession(headers=headers) as session:
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new_messages = []
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system_message = []
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for message in messages:
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if message["role"] == "system":
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system_message.append(message["content"])
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else:
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new_messages.append(message)
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data = {
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"model": {
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"id": "openchat_v3.2_mistral",
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"name": "OpenChat Aura",
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"maxLength": 24576,
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"tokenLimit": 8192
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},
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"messages": new_messages,
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"key": "",
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"prompt": "\n".join(system_message),
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"temperature": 0.5
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}
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async with session.post(f"{cls.url}/api/chat", json=data, proxy=proxy) 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() |