1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
|
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 = False
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
|
