mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-11-10 19:11:01 +00:00
79 lines
2.8 KiB
Python
79 lines
2.8 KiB
Python
from __future__ import annotations
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import json
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from typing import AsyncGenerator, Optional, List, Dict, Union, Any
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from aiohttp import ClientSession, BaseConnector, ClientResponse
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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 get_random_string, get_connector
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from ..requests import raise_for_status
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class Koala(AsyncGeneratorProvider):
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url = "https://koala.sh"
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working = True
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supports_gpt_35_turbo = True
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supports_message_history = True
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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: Optional[str] = None,
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connector: Optional[BaseConnector] = None,
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**kwargs: Any
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) -> AsyncGenerator[Dict[str, Union[str, int, float, List[Dict[str, Any]], None]], None]:
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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:122.0) Gecko/20100101 Firefox/122.0",
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"Accept": "text/event-stream",
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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}/chat",
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"Flag-Real-Time-Data": "false",
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"Visitor-ID": get_random_string(20),
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"Origin": cls.url,
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"Alt-Used": "koala.sh",
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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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"TE": "trailers",
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}
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async with ClientSession(headers=headers, connector=get_connector(connector, proxy)) as session:
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input_text = messages[-1]["content"]
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system_messages = " ".join(
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message["content"] for message in messages if message["role"] == "system"
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)
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if system_messages:
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input_text += f" {system_messages}"
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data = {
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"input": input_text,
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"inputHistory": [
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message["content"]
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for message in messages[:-1]
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if message["role"] == "user"
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],
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"outputHistory": [
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message["content"]
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for message in messages
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if message["role"] == "assistant"
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],
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"model": model,
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}
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async with session.post(f"{cls.url}/api/gpt/", json=data, proxy=proxy) as response:
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await raise_for_status(response)
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async for chunk in cls._parse_event_stream(response):
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yield chunk
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@staticmethod
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async def _parse_event_stream(response: ClientResponse) -> AsyncGenerator[Dict[str, Any], None]:
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async for chunk in response.content:
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if chunk.startswith(b"data: "):
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yield json.loads(chunk[6:])
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