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-rw-r--r--g4f/Provider/AiChats.py105
1 files changed, 105 insertions, 0 deletions
diff --git a/g4f/Provider/AiChats.py b/g4f/Provider/AiChats.py
new file mode 100644
index 00000000..08492e24
--- /dev/null
+++ b/g4f/Provider/AiChats.py
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+from __future__ import annotations
+
+import json
+import base64
+from aiohttp import ClientSession
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..image import ImageResponse
+from .helper import format_prompt
+
+class AiChats(AsyncGeneratorProvider, ProviderModelMixin):
+ url = "https://ai-chats.org"
+ api_endpoint = "https://ai-chats.org/chat/send2/"
+ working = True
+ supports_message_history = True
+ default_model = 'gpt-4'
+ models = ['gpt-4', 'dalle']
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ **kwargs
+ ) -> AsyncResult:
+ headers = {
+ "accept": "application/json, text/event-stream",
+ "accept-language": "en-US,en;q=0.9",
+ "cache-control": "no-cache",
+ "content-type": "application/json",
+ "origin": cls.url,
+ "pragma": "no-cache",
+ "referer": f"{cls.url}/{'image' if model == 'dalle' else 'chat'}/",
+ "sec-ch-ua": '"Chromium";v="127", "Not)A;Brand";v="99"',
+ "sec-ch-ua-mobile": "?0",
+ "sec-ch-ua-platform": '"Linux"',
+ "sec-fetch-dest": "empty",
+ "sec-fetch-mode": "cors",
+ "sec-fetch-site": "same-origin",
+ "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36",
+ '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',
+ }
+
+ async with ClientSession(headers=headers) as session:
+ if model == 'dalle':
+ prompt = messages[-1]['content'] if messages else ""
+ else:
+ prompt = format_prompt(messages)
+
+ data = {
+ "type": "image" if model == 'dalle' else "chat",
+ "messagesHistory": [
+ {
+ "from": "you",
+ "content": prompt
+ }
+ ]
+ }
+
+ try:
+ async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
+ response.raise_for_status()
+
+ if model == 'dalle':
+ response_json = await response.json()
+
+ if 'data' in response_json and response_json['data']:
+ image_url = response_json['data'][0].get('url')
+ if image_url:
+ async with session.get(image_url) as img_response:
+ img_response.raise_for_status()
+ image_data = await img_response.read()
+
+ base64_image = base64.b64encode(image_data).decode('utf-8')
+ base64_url = f"data:image/png;base64,{base64_image}"
+ yield ImageResponse(base64_url, prompt)
+ else:
+ yield f"Error: No image URL found in the response. Full response: {response_json}"
+ else:
+ yield f"Error: Unexpected response format. Full response: {response_json}"
+ else:
+ full_response = await response.text()
+ message = ""
+ for line in full_response.split('\n'):
+ if line.startswith('data: ') and line != 'data: ':
+ message += line[6:]
+
+ message = message.strip()
+ yield message
+ except Exception as e:
+ yield f"Error occurred: {str(e)}"
+
+ @classmethod
+ async def create_async(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ **kwargs
+ ) -> str:
+ async for response in cls.create_async_generator(model, messages, proxy, **kwargs):
+ if isinstance(response, ImageResponse):
+ return response.images[0]
+ return response