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from __future__ import annotations
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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