mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-11-09 01:10:34 +00:00
79 lines
2.7 KiB
Python
79 lines
2.7 KiB
Python
from __future__ import annotations
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import secrets
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import uuid
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import json
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from aiohttp import ClientSession
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from ...typing import AsyncResult, Messages
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from ..base_provider import AsyncGeneratorProvider
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from ..helper import format_prompt
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class Berlin(AsyncGeneratorProvider):
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url = "https://ai.berlin4h.top"
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working = False
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supports_gpt_35_turbo = True
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_token = None
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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proxy: str = None,
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**kwargs
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) -> AsyncResult:
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if not model:
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model = "gpt-3.5-turbo"
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headers = {
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"User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/119.0",
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"Accept": "*/*",
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"Accept-Language": "de,en-US;q=0.7,en;q=0.3",
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"Accept-Encoding": "gzip, deflate, br",
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"Referer": f"{cls.url}/",
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"Content-Type": "application/json",
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"Origin": cls.url,
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"Alt-Used": "ai.berlin4h.top",
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"Connection": "keep-alive",
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"Sec-Fetch-Dest": "empty",
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"Sec-Fetch-Mode": "cors",
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"Sec-Fetch-Site": "same-origin",
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"Pragma": "no-cache",
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"Cache-Control": "no-cache",
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"TE": "trailers",
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}
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async with ClientSession(headers=headers) as session:
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if not cls._token:
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data = {
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"account": '免费使用GPT3.5模型@163.com',
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"password": '659e945c2d004686bad1a75b708c962f'
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}
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async with session.post(f"{cls.url}/api/login", json=data, proxy=proxy) as response:
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response.raise_for_status()
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cls._token = (await response.json())["data"]["token"]
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headers = {
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"token": cls._token
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}
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prompt = format_prompt(messages)
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data = {
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"prompt": prompt,
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"parentMessageId": str(uuid.uuid4()),
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"options": {
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"model": model,
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"temperature": 0,
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"presence_penalty": 0,
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"frequency_penalty": 0,
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"max_tokens": 1888,
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**kwargs
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},
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}
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async with session.post(f"{cls.url}/api/chat/completions", json=data, proxy=proxy, headers=headers) as response:
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response.raise_for_status()
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async for chunk in response.content:
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if chunk.strip():
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try:
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yield json.loads(chunk)["content"]
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except:
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raise RuntimeError(f"Response: {chunk.decode()}")
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