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- from __future__ import annotations
- from urllib.parse import unquote
- from ...typing import AsyncResult, Messages
- from ..base_provider import BaseProvider
- from ...webdriver import WebDriver
- from ...requests import Session, get_session_from_browser
- class AiChatting(BaseProvider):
- url = "https://www.aichatting.net"
- supports_gpt_35_turbo = True
- _session: Session = None
- @classmethod
- def create_completion(
- cls,
- model: str,
- messages: Messages,
- stream: bool,
- proxy: str = None,
- timeout: int = 120,
- webdriver: WebDriver = None,
- **kwargs
- ) -> AsyncResult:
- if not cls._session:
- cls._session = get_session_from_browser(cls.url, webdriver, proxy, timeout)
- visitorId = unquote(cls._session.cookies.get("aichatting.website.visitorId"))
-
- headers = {
- "accept": "application/json, text/plain, */*",
- "lang": "en",
- "source": "web"
- }
- data = {
- "roleId": 0,
- }
- try:
- response = cls._session.post("https://aga-api.aichatting.net/aigc/chat/record/conversation/create", json=data, headers=headers)
- response.raise_for_status()
- conversation_id = response.json()["data"]["conversationId"]
- except Exception as e:
- cls.reset()
- raise e
- headers = {
- "authority": "aga-api.aichatting.net",
- "accept": "text/event-stream,application/json, text/event-stream",
- "lang": "en",
- "source": "web",
- "vtoken": visitorId,
- }
- data = {
- "spaceHandle": True,
- "roleId": 0,
- "messages": messages,
- "conversationId": conversation_id,
- }
- response = cls._session.post("https://aga-api.aichatting.net/aigc/chat/v2/stream", json=data, headers=headers, stream=True)
- response.raise_for_status()
- for chunk in response.iter_lines():
- if chunk.startswith(b"data:"):
- yield chunk[5:].decode().replace("-=- --", " ").replace("-=-n--", "\n").replace("--@DONE@--", "")
- @classmethod
- def reset(cls):
- cls._session = None
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