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- from __future__ import annotations
- from aiohttp import ClientSession
- import json
- import base64
- from ..typing import AsyncResult, Messages
- from .base_provider import AsyncGeneratorProvider, format_prompt
- class GptGo(AsyncGeneratorProvider):
- url = "https://gptgo.ai"
- supports_gpt_35_turbo = True
- working = True
- @classmethod
- async def create_async_generator(
- cls,
- model: str,
- messages: Messages,
- proxy: str = None,
- **kwargs
- ) -> AsyncResult:
- headers = {
- "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",
- "Accept": "*/*",
- "Accept-language": "en-US",
- "Origin": cls.url,
- "Referer": f"{cls.url}/",
- "sec-ch-ua": '"Google Chrome";v="116", "Chromium";v="116", "Not?A_Brand";v="24"',
- "sec-ch-ua-mobile": "?0",
- "sec-ch-ua-platform": '"Windows"',
- "Sec-Fetch-Dest": "empty",
- "Sec-Fetch-Mode": "cors",
- "Sec-Fetch-Site": "same-origin",
- }
- async with ClientSession(
- headers=headers
- ) as session:
- async with session.post(
- "https://gptgo.ai/get_token.php",
- data={"ask": format_prompt(messages)},
- proxy=proxy
- ) as response:
- response.raise_for_status()
- token = await response.text();
- token = base64.b64decode(token[10:-20]).decode()
- async with session.get(
- "https://api.gptgo.ai/web.php",
- params={"array_chat": token},
- proxy=proxy
- ) as response:
- response.raise_for_status()
- async for line in response.content:
- if line.startswith(b"data: [DONE]"):
- break
- if line.startswith(b"data: "):
- line = json.loads(line[6:])
- content = line["choices"][0]["delta"].get("content")
- if content and content != "\n#GPTGO ":
- yield content
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