mirror of
https://github.com/xtekky/gpt4free.git
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100 lines
3.2 KiB
Python
100 lines
3.2 KiB
Python
from __future__ import annotations
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import uuid
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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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models = {
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"gpt-4": {
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"id": "gpt-4",
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"name": "GPT-4",
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"maxLength": 24000,
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"tokenLimit": 8000,
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},
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"gpt-4-0613": {
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"id": "gpt-4-0613",
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"name": "GPT-4",
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"maxLength": 32000,
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"tokenLimit": 8000,
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},
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"gpt-3.5-turbo": {
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"id": "gpt-3.5-turbo",
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"name": "GPT-3.5",
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"maxLength": 12000,
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"tokenLimit": 4000,
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},
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"gpt-3.5-turbo-16k": {
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"id": "gpt-3.5-turbo-16k",
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"name": "GPT-3.5-16k",
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"maxLength": 48000,
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"tokenLimit": 16000,
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},
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}
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class Liaobots(AsyncGeneratorProvider):
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url = "https://liaobots.site"
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working = True
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supports_message_history = True
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supports_gpt_35_turbo = True
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supports_gpt_4 = True
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_auth_code = 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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auth: str = None,
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proxy: str = None,
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**kwargs
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) -> AsyncResult:
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model = model if model in models else "gpt-3.5-turbo"
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headers = {
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"authority": "liaobots.com",
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"content-type": "application/json",
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"origin": cls.url,
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"referer": f"{cls.url}/",
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"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36",
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}
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async with ClientSession(
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headers=headers
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) as session:
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cls._auth_code = auth if isinstance(auth, str) else cls._auth_code
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if not cls._auth_code:
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async with session.post(
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"https://liaobots.work/recaptcha/api/login",
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proxy=proxy,
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data={"token": "abcdefghijklmnopqrst"},
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verify_ssl=False
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) as response:
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response.raise_for_status()
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async with session.post(
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"https://liaobots.work/api/user",
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proxy=proxy,
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json={"authcode": ""},
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verify_ssl=False
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) as response:
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response.raise_for_status()
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cls._auth_code = (await response.json(content_type=None))["authCode"]
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data = {
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"conversationId": str(uuid.uuid4()),
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"model": models[model],
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"messages": messages,
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"key": "",
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"prompt": kwargs.get("system_message", "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully."),
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}
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async with session.post(
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"https://liaobots.work/api/chat",
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proxy=proxy,
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json=data,
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headers={"x-auth-code": cls._auth_code},
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verify_ssl=False
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) as response:
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response.raise_for_status()
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async for stream in response.content.iter_any():
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if stream:
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yield stream.decode()
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