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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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