gpt4free/g4f/Provider/Berlin.py
2023-11-22 21:20:46 +01:00

79 lines
2.7 KiB
Python

from __future__ import annotations
import secrets
import uuid
import json
from aiohttp import ClientSession
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider
from .helper import format_prompt
class Berlin(AsyncGeneratorProvider):
url = "https://ai.berlin4h.top"
working = False
supports_gpt_35_turbo = True
_token = None
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
if not model:
model = "gpt-3.5-turbo"
headers = {
"User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/119.0",
"Accept": "*/*",
"Accept-Language": "de,en-US;q=0.7,en;q=0.3",
"Accept-Encoding": "gzip, deflate, br",
"Referer": f"{cls.url}/",
"Content-Type": "application/json",
"Origin": cls.url,
"Alt-Used": "ai.berlin4h.top",
"Connection": "keep-alive",
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
"Pragma": "no-cache",
"Cache-Control": "no-cache",
"TE": "trailers",
}
async with ClientSession(headers=headers) as session:
if not cls._token:
data = {
"account": '免费使用GPT3.5模型@163.com',
"password": '659e945c2d004686bad1a75b708c962f'
}
async with session.post(f"{cls.url}/api/login", json=data, proxy=proxy) as response:
response.raise_for_status()
cls._token = (await response.json())["data"]["token"]
headers = {
"token": cls._token
}
prompt = format_prompt(messages)
data = {
"prompt": prompt,
"parentMessageId": str(uuid.uuid4()),
"options": {
"model": model,
"temperature": 0,
"presence_penalty": 0,
"frequency_penalty": 0,
"max_tokens": 1888,
**kwargs
},
}
async with session.post(f"{cls.url}/api/chat/completions", json=data, proxy=proxy, headers=headers) as response:
response.raise_for_status()
async for chunk in response.content:
if chunk.strip():
try:
yield json.loads(chunk)["content"]
except:
raise RuntimeError(f"Response: {chunk.decode()}")