mirror of
https://github.com/xtekky/gpt4free.git
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78 lines
2.5 KiB
Python
78 lines
2.5 KiB
Python
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from __future__ import annotations
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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, ProviderModelMixin
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from .helper import format_prompt
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class Editee(AsyncGeneratorProvider, ProviderModelMixin):
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label = "Editee"
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url = "https://editee.com"
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api_endpoint = "https://editee.com/submit/chatgptfree"
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working = True
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supports_stream = True
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supports_system_message = True
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supports_message_history = True
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default_model = 'claude'
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models = ['claude', 'gpt4', 'gemini' 'mistrallarge']
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model_aliases = {
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"claude-3.5-sonnet": "claude",
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"gpt-4o": "gpt4",
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"gemini-pro": "gemini",
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"mistral-large": "mistrallarge",
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}
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@classmethod
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def get_model(cls, model: str) -> str:
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if model in cls.models:
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return model
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elif model in cls.model_aliases:
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return cls.model_aliases[model]
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else:
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return cls.default_model
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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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model = cls.get_model(model)
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headers = {
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"Accept": "application/json, text/plain, */*",
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"Accept-Language": "en-US,en;q=0.9",
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"Cache-Control": "no-cache",
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"Content-Type": "application/json",
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"Origin": cls.url,
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"Pragma": "no-cache",
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"Priority": "u=1, i",
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"Referer": f"{cls.url}/chat-gpt",
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"Sec-CH-UA": '"Chromium";v="129", "Not=A?Brand";v="8"',
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"Sec-CH-UA-Mobile": '?0',
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"Sec-CH-UA-Platform": '"Linux"',
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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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"User-Agent": 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36',
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"X-Requested-With": 'XMLHttpRequest',
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}
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async with ClientSession(headers=headers) as session:
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prompt = format_prompt(messages)
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data = {
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"user_input": prompt,
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"context": " ",
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"template_id": "",
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"selected_model": model
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}
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async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
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response.raise_for_status()
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response_data = await response.json()
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yield response_data['text']
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