mirror of
https://github.com/xtekky/gpt4free.git
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117 lines
4.4 KiB
Python
117 lines
4.4 KiB
Python
from __future__ import annotations
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import json
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from aiohttp import ClientSession
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from itertools import cycle
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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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from ..image import ImageResponse
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class AIUncensored(AsyncGeneratorProvider, ProviderModelMixin):
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url = "https://www.aiuncensored.info"
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api_endpoints_text = [
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"https://twitterclone-i0wr.onrender.com/api/chat",
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"https://twitterclone-4e8t.onrender.com/api/chat",
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"https://twitterclone-8wd1.onrender.com/api/chat",
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]
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api_endpoints_image = [
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"https://twitterclone-4e8t.onrender.com/api/image",
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"https://twitterclone-i0wr.onrender.com/api/image",
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"https://twitterclone-8wd1.onrender.com/api/image",
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]
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api_endpoints_cycle_text = cycle(api_endpoints_text)
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api_endpoints_cycle_image = cycle(api_endpoints_image)
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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 = 'TextGenerations'
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text_models = [default_model]
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image_models = ['ImageGenerations']
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models = [*text_models, *image_models]
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model_aliases = {
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#"": "TextGenerations",
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"flux": "ImageGenerations",
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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': '*/*',
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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': 'https://www.aiuncensored.info',
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'pragma': 'no-cache',
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'priority': 'u=1, i',
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'referer': 'https://www.aiuncensored.info/',
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'sec-ch-ua': '"Not?A_Brand";v="99", "Chromium";v="130"',
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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': 'cross-site',
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'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36'
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}
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async with ClientSession(headers=headers) as session:
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if model in cls.image_models:
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prompt = messages[-1]['content']
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data = {
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"prompt": prompt,
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}
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api_endpoint = next(cls.api_endpoints_cycle_image)
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async with session.post(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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image_url = response_data['image_url']
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image_response = ImageResponse(images=image_url, alt=prompt)
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yield image_response
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elif model in cls.text_models:
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data = {
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"messages": [
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{
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"role": "user",
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"content": format_prompt(messages)
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}
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]
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}
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api_endpoint = next(cls.api_endpoints_cycle_text)
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async with session.post(api_endpoint, json=data, proxy=proxy) as response:
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response.raise_for_status()
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full_response = ""
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async for line in response.content:
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line = line.decode('utf-8')
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if line.startswith("data: "):
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try:
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json_str = line[6:]
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if json_str != "[DONE]":
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data = json.loads(json_str)
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if "data" in data:
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full_response += data["data"]
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yield data["data"]
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except json.JSONDecodeError:
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continue
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