mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-26 04:33:35 +03:00
86 lines
3.0 KiB
Python
86 lines
3.0 KiB
Python
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from __future__ import annotations
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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, ProviderModelMixin
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from .helper import format_prompt
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class DarkAI(AsyncGeneratorProvider, ProviderModelMixin):
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url = "https://www.aiuncensored.info"
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api_endpoint = "https://darkai.foundation/chat"
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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 = 'gpt-4o'
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models = [
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default_model, # Uncensored
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'gpt-3.5-turbo', # Uncensored
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'llama-3-70b', # Uncensored
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'llama-3-405b',
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]
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model_aliases = {
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"llama-3.1-70b": "llama-3-70b",
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"llama-3.1-405b": "llama-3-405b",
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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": "text/event-stream",
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"content-type": "application/json",
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"origin": "https://www.aiuncensored.info",
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"referer": "https://www.aiuncensored.info/",
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"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36"
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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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"query": prompt,
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"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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full_text = ""
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async for chunk in response.content:
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if chunk:
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try:
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chunk_str = chunk.decode().strip()
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if chunk_str.startswith('data: '):
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chunk_data = json.loads(chunk_str[6:])
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if chunk_data['event'] == 'text-chunk':
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full_text += chunk_data['data']['text']
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elif chunk_data['event'] == 'stream-end':
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if full_text:
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yield full_text.strip()
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return
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except json.JSONDecodeError:
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print(f"Failed to decode JSON: {chunk_str}")
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except Exception as e:
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print(f"Error processing chunk: {e}")
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if full_text:
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yield full_text.strip()
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