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