gpt4free/g4f/Provider/AIUncensored.py

from __future__ import annotations

import json
from aiohttp import ClientSession

from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from .helper import format_prompt
from ..image import ImageResponse

class AIUncensored(AsyncGeneratorProvider, ProviderModelMixin):
    url = "https://www.aiuncensored.info"
    working = True
    supports_stream = True
    supports_system_message = True
    supports_message_history = True
    
    default_model = 'ai_uncensored'
    chat_models = [default_model]
    image_models = ['ImageGenerator']
    models = [*chat_models, *image_models]

    api_endpoints = {
        'ai_uncensored': "https://twitterclone-i0wr.onrender.com/api/chat",
        'ImageGenerator': "https://twitterclone-4e8t.onrender.com/api/image"
    }

    @classmethod
    def get_model(cls, model: str) -> str:
        if model in cls.models:
            return model
        else:
            return cls.default_model

    @classmethod
    async def create_async_generator(
        cls,
        model: str,
        messages: Messages,
        proxy: str = None,
        stream: bool = False,
        **kwargs
    ) -> AsyncResult:
        model = cls.get_model(model)
        
        if model in cls.chat_models:
            async with ClientSession(headers={"content-type": "application/json"}) as session:
                data = {
                    "messages": [
                        {"role": "user", "content": format_prompt(messages)}
                    ],
                    "stream": stream
                }
                async with session.post(cls.api_endpoints[model], json=data, proxy=proxy) as response:
                    response.raise_for_status()
                    if stream:
                        async for chunk in cls._handle_streaming_response(response):
                            yield chunk
                    else:
                        yield await cls._handle_non_streaming_response(response)
        elif model in cls.image_models:
            headers = {
                "accept": "*/*",
                "accept-language": "en-US,en;q=0.9",
                "cache-control": "no-cache",
                "content-type": "application/json",
                "origin": cls.url,
                "pragma": "no-cache",
                "priority": "u=1, i",
                "referer": f"{cls.url}/",
                "sec-ch-ua": '"Chromium";v="129", "Not=A?Brand";v="8"',
                "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/129.0.0.0 Safari/537.36"
            }
            async with ClientSession(headers=headers) as session:
                prompt = messages[0]['content']
                data = {"prompt": prompt}
                async with session.post(cls.api_endpoints[model], json=data, proxy=proxy) as response:
                    response.raise_for_status()
                    result = await response.json()
                    image_url = result.get('image_url', '')
                    if image_url:
                        yield ImageResponse(image_url, alt=prompt)
                    else:
                        yield "Failed to generate image. Please try again."

    @classmethod
    async def _handle_streaming_response(cls, response):
        async for line in response.content:
            line = line.decode('utf-8').strip()
            if line.startswith("data: "):
                if line == "data: [DONE]":
                    break
                try:
                    json_data = json.loads(line[6:])
                    if 'data' in json_data:
                        yield json_data['data']
                except json.JSONDecodeError:
                    pass

    @classmethod
    async def _handle_non_streaming_response(cls, response):
        response_json = await response.json()
        return response_json.get('content', "Sorry, I couldn't generate a response.")

    @classmethod
    def validate_response(cls, response: str) -> str:
        return response