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from __future__ import annotations
from aiohttp import ClientSession
from .base_provider import AsyncProvider, format_prompt
class Aichat(AsyncProvider):
url = "https://chat-gpt.org/chat"
working = True
supports_gpt_35_turbo = True
@staticmethod
async def create_async(
model: str,
messages: list[dict[str, str]],
proxy: str = None,
**kwargs
) -> str:
headers = {
"authority": "chat-gpt.org",
"accept": "*/*",
"cache-control": "no-cache",
"content-type": "application/json",
"origin": "https://chat-gpt.org",
"pragma": "no-cache",
"referer": "https://chat-gpt.org/chat",
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"macOS"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36",
}
async with ClientSession(
headers=headers
) as session:
json_data = {
"message": format_prompt(messages),
"temperature": kwargs.get('temperature', 0.5),
"presence_penalty": 0,
"top_p": kwargs.get('top_p', 1),
"frequency_penalty": 0,
}
async with session.post(
"https://chat-gpt.org/api/text",
proxy=proxy,
json=json_data
) as response:
response.raise_for_status()
result = await response.json()
if not result['response']:
raise Exception(f"Error Response: {result}")
return result["message"]
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