mirror of
https://github.com/xtekky/gpt4free.git
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67 lines
2.4 KiB
Python
67 lines
2.4 KiB
Python
from __future__ import annotations
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from aiohttp import ClientSession
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import json
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import base64
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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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working = False
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supports_gpt_35_turbo = 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-US",
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"Origin": cls.url,
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"Referer": f"{cls.url}/",
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"sec-ch-ua": '"Google Chrome";v="116", "Chromium";v="116", "Not?A_Brand";v="24"',
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"sec-ch-ua-mobile": "?0",
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"sec-ch-ua-platform": '"Windows"',
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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.post(
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"https://gptgo.ai/get_token.php",
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data={"ask": format_prompt(messages)},
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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.text();
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if token == "error token":
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raise RuntimeError(f"Response: {token}")
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token = base64.b64decode(token[10:-20]).decode()
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async with session.get(
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"https://api.gptgo.ai/web.php",
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params={"array_chat": token},
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proxy=proxy
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) as response:
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response.raise_for_status()
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async for line in response.content:
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if line.startswith(b"data: [DONE]"):
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break
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if line.startswith(b"data: "):
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line = json.loads(line[6:])
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if "choices" not in line:
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raise RuntimeError(f"Response: {line}")
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content = line["choices"][0]["delta"].get("content")
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if content and content != "\n#GPTGO ":
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yield content
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