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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
|
