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import base64
import os
import re
import requests
from ..typing import Any, CreateResult
from .base_provider import BaseProvider
class ChatgptLogin(BaseProvider):
url = "https://opchatgpts.net"
supports_gpt_35_turbo = True
working = True
@staticmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
stream: bool,
**kwargs: Any,
) -> CreateResult:
headers = {
"authority": "chatgptlogin.ac",
"accept": "*/*",
"accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
"content-type": "application/json",
"origin": "https://opchatgpts.net",
"referer": "https://opchatgpts.net/chatgpt-free-use/",
"sec-ch-ua": '"Chromium";v="116", "Not)A;Brand";v="24", "Google Chrome";v="116"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Windows"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
"x-wp-nonce": _get_nonce(),
}
conversation = _transform(messages)
json_data = {
"env": "chatbot",
"session": "N/A",
"prompt": "Converse as if you were an AI assistant. Be friendly, creative.",
"context": "Converse as if you were an AI assistant. Be friendly, creative.",
"messages": conversation,
"newMessage": messages[-1]["content"],
"userName": '<div class="mwai-name-text">User:</div>',
"aiName": '<div class="mwai-name-text">AI:</div>',
"model": "gpt-3.5-turbo",
"temperature": kwargs.get("temperature", 0.8),
"maxTokens": 1024,
"maxResults": 1,
"apiKey": "",
"service": "openai",
"embeddingsIndex": "",
"stop": "",
"clientId": os.urandom(6).hex(),
}
response = requests.post(
"https://opchatgpts.net/wp-json/ai-chatbot/v1/chat",
headers=headers,
json=json_data,
)
response.raise_for_status()
yield response.json()["reply"]
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("temperature", "float"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
def _get_nonce() -> str:
res = requests.get(
"https://opchatgpts.net/chatgpt-free-use/",
headers={
"Referer": "https://opchatgpts.net/chatgpt-free-use/",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
},
)
result = re.search(
r'class="mwai-chat mwai-chatgpt">.*<span>Send</span></button></div></div></div> <script defer src="(.*?)">',
res.text,
)
if result is None:
return ""
src = result.group(1)
decoded_string = base64.b64decode(src.split(",")[-1]).decode("utf-8")
result = re.search(r"let restNonce = '(.*?)';", decoded_string)
return "" if result is None else result.group(1)
def _transform(messages: list[dict[str, str]]) -> list[dict[str, Any]]:
return [
{
"id": os.urandom(6).hex(),
"role": message["role"],
"content": message["content"],
"who": "AI: " if message["role"] == "assistant" else "User: ",
"html": _html_encode(message["content"]),
}
for message in messages
]
def _html_encode(string: str) -> str:
table = {
'"': """,
"'": "'",
"&": "&",
">": ">",
"<": "<",
"\n": "<br>",
"\t": " ",
" ": " ",
}
for key in table:
string = string.replace(key, table[key])
return string
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