from __future__ import annotations import json import random from aiohttp import ClientSession, ClientError import asyncio from itertools import cycle from ..typing import AsyncResult, Messages from .base_provider import AsyncGeneratorProvider, ProviderModelMixin from ..image import ImageResponse class AIUncensored(AsyncGeneratorProvider, ProviderModelMixin): url = "https://www.aiuncensored.info/ai_uncensored" api_endpoints_text = [ "https://twitterclone-i0wr.onrender.com/api/chat", "https://twitterclone-4e8t.onrender.com/api/chat", "https://twitterclone-8wd1.onrender.com/api/chat", ] api_endpoints_image = [ "https://twitterclone-4e8t.onrender.com/api/image", "https://twitterclone-i0wr.onrender.com/api/image", "https://twitterclone-8wd1.onrender.com/api/image", ] working = True supports_stream = True supports_system_message = True supports_message_history = True default_model = 'TextGenerations' text_models = [default_model] image_models = ['ImageGenerations'] models = [*text_models, *image_models] model_aliases = { "flux": "ImageGenerations", } @staticmethod def generate_cipher() -> str: """Generate a cipher in format like '3221229284179118'""" return ''.join([str(random.randint(0, 9)) for _ in range(16)]) @classmethod def get_model(cls, model: str) -> str: if model in cls.models: return model elif model in cls.model_aliases: return cls.model_aliases[model] else: return cls.default_model @classmethod async def create_async_generator( cls, model: str, messages: Messages, proxy: str = None, **kwargs ) -> AsyncResult: model = cls.get_model(model) headers = { 'accept': '*/*', 'accept-language': 'en-US,en;q=0.9', 'cache-control': 'no-cache', 'content-type': 'application/json', 'origin': 'https://www.aiuncensored.info', 'pragma': 'no-cache', 'priority': 'u=1, i', 'referer': 'https://www.aiuncensored.info/', 'sec-ch-ua': '"Not?A_Brand";v="99", "Chromium";v="130"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': '"Linux"', 'sec-fetch-dest': 'empty', 'sec-fetch-mode': 'cors', 'sec-fetch-site': 'cross-site', 'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36' } async with ClientSession(headers=headers) as session: if model in cls.image_models: prompt = messages[-1]['content'] data = { "prompt": prompt, "cipher": cls.generate_cipher() } endpoints = cycle(cls.api_endpoints_image) while True: endpoint = next(endpoints) try: async with session.post(endpoint, json=data, proxy=proxy, timeout=10) as response: response.raise_for_status() response_data = await response.json() image_url = response_data['image_url'] image_response = ImageResponse(images=image_url, alt=prompt) yield image_response return except (ClientError, asyncio.TimeoutError): continue elif model in cls.text_models: data = { "messages": messages, "cipher": cls.generate_cipher() } endpoints = cycle(cls.api_endpoints_text) while True: endpoint = next(endpoints) try: async with session.post(endpoint, json=data, proxy=proxy, timeout=10) as response: response.raise_for_status() full_response = "" async for line in response.content: line = line.decode('utf-8') if line.startswith("data: "): try: json_str = line[6:] if json_str != "[DONE]": data = json.loads(json_str) if "data" in data: full_response += data["data"] yield data["data"] except json.JSONDecodeError: continue return except (ClientError, asyncio.TimeoutError): continue