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from __future__ import annotations
import json
from aiohttp import ClientSession
from ...typing import AsyncResult, Messages
from ..base_provider import AsyncGeneratorProvider
class ChatgptNext(AsyncGeneratorProvider):
url = "https://www.chatgpt-free.cc"
working = False
supports_gpt_35_turbo = True
supports_message_history = True
supports_system_message = True
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
max_tokens: int = None,
temperature: float = 0.7,
top_p: float = 1,
presence_penalty: float = 0,
frequency_penalty: float = 0,
**kwargs
) -> AsyncResult:
if not model:
model = "gpt-3.5-turbo"
headers = {
"User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:122.0) Gecko/20100101 Firefox/122.0",
"Accept": "text/event-stream",
"Accept-Language": "de,en-US;q=0.7,en;q=0.3",
"Accept-Encoding": "gzip, deflate, br",
"Content-Type": "application/json",
"Referer": "https://chat.fstha.com/",
"x-requested-with": "XMLHttpRequest",
"Origin": "https://chat.fstha.com",
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
"Authorization": "Bearer ak-chatgpt-nice",
"Connection": "keep-alive",
"Alt-Used": "chat.fstha.com",
}
async with ClientSession(headers=headers) as session:
data = {
"messages": messages,
"stream": True,
"model": model,
"temperature": temperature,
"presence_penalty": presence_penalty,
"frequency_penalty": frequency_penalty,
"top_p": top_p,
"max_tokens": max_tokens,
}
async with session.post(f"https://chat.fstha.com/api/openai/v1/chat/completions", json=data, proxy=proxy) as response:
response.raise_for_status()
async for chunk in response.content:
if chunk.startswith(b"data: [DONE]"):
break
if chunk.startswith(b"data: "):
content = json.loads(chunk[6:])["choices"][0]["delta"].get("content")
if content:
yield content
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