mirror of
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80 lines
2.8 KiB
Python
80 lines
2.8 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 AsyncResult, Messages
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from .base_provider import AsyncGeneratorProvider, format_prompt
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class GptGo(AsyncGeneratorProvider):
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url = "https://gptgo.ai"
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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: 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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"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": f"{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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async with session.get(
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"https://gptgo.ai/action_get_token.php",
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params={
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"q": format_prompt(messages),
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"hlgpt": "default",
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"hl": "en"
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},
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proxy=proxy
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) as response:
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response.raise_for_status()
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token = (await response.json(content_type=None))["token"]
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async with session.get(
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"https://gptgo.ai/action_ai_gpt.php",
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params={
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"token": token,
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},
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proxy=proxy
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) as response:
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response.raise_for_status()
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start = "data: "
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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[len(start):-1])
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if line["choices"][0]["finish_reason"] == "stop":
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break
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if content := line["choices"][0]["delta"].get("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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("proxy", "str"),
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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})" |