mirror of
https://github.com/xtekky/gpt4free.git
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106 lines
4.4 KiB
Python
106 lines
4.4 KiB
Python
from __future__ import annotations
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import json
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import base64
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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 ...image import ImageResponse
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from ..helper import format_prompt
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class AiChats(AsyncGeneratorProvider, ProviderModelMixin):
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url = "https://ai-chats.org"
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api_endpoint = "https://ai-chats.org/chat/send2/"
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working = False
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supports_message_history = True
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default_model = 'gpt-4'
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models = ['gpt-4', 'dalle']
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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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headers = {
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"accept": "application/json, text/event-stream",
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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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"referer": f"{cls.url}/{'image' if model == 'dalle' else 'chat'}/",
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"sec-ch-ua": '"Chromium";v="127", "Not)A;Brand";v="99"',
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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/127.0.0.0 Safari/537.36",
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'cookie': 'muVyak=LSFNvUWqdgKkGprbDBsfieIoEMzjOQ; LSFNvUWqdgKkGprbDBsfieIoEMzjOQ=ac28831b98143847e83dbe004404e619-1725548624-1725548621; muVyak_hits=9; ai-chat-front=9d714d5dc46a6b47607c9a55e7d12a95; _csrf-front=76c23dc0a013e5d1e21baad2e6ba2b5fdab8d3d8a1d1281aa292353f8147b057a%3A2%3A%7Bi%3A0%3Bs%3A11%3A%22_csrf-front%22%3Bi%3A1%3Bs%3A32%3A%22K9lz0ezsNPMNnfpd_8gT5yEeh-55-cch%22%3B%7D',
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}
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async with ClientSession(headers=headers) as session:
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if model == 'dalle':
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prompt = messages[-1]['content'] if messages else ""
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else:
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prompt = format_prompt(messages)
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data = {
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"type": "image" if model == 'dalle' else "chat",
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"messagesHistory": [
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{
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"from": "you",
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"content": prompt
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}
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]
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}
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try:
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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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if model == 'dalle':
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response_json = await response.json()
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if 'data' in response_json and response_json['data']:
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image_url = response_json['data'][0].get('url')
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if image_url:
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async with session.get(image_url) as img_response:
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img_response.raise_for_status()
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image_data = await img_response.read()
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base64_image = base64.b64encode(image_data).decode('utf-8')
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base64_url = f"data:image/png;base64,{base64_image}"
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yield ImageResponse(base64_url, prompt)
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else:
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yield f"Error: No image URL found in the response. Full response: {response_json}"
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else:
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yield f"Error: Unexpected response format. Full response: {response_json}"
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else:
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full_response = await response.text()
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message = ""
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for line in full_response.split('\n'):
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if line.startswith('data: ') and line != 'data: ':
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message += line[6:]
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message = message.strip()
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yield message
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except Exception as e:
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yield f"Error occurred: {str(e)}"
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@classmethod
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async def create_async(
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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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) -> str:
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async for response in cls.create_async_generator(model, messages, proxy, **kwargs):
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if isinstance(response, ImageResponse):
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return response.images[0]
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return response
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