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64 lines
2.2 KiB
Python
64 lines
2.2 KiB
Python
from __future__ import annotations
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from aiohttp import ClientSession
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import json
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from ..typing import AsyncGenerator
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from .base_provider import AsyncGeneratorProvider
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class CodeLinkAva(AsyncGeneratorProvider):
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url = "https://ava-ai-ef611.web.app"
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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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headers = {
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"User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
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"Accept" : "*/*",
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"Accept-language" : "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
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"Origin" : cls.url,
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"Referer" : cls.url + "/",
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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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}
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async with ClientSession(
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headers=headers
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) as session:
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data = {
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"messages": messages,
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"temperature": 0.6,
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"stream": True,
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**kwargs
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}
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async with session.post("https://ava-alpha-api.codelink.io/api/chat", 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 = 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:-1])
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content = line["choices"][0]["delta"].get("content")
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if content:
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yield 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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("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})" |