import random, requests, json from ..typing import Any, CreateResult from .base_provider import BaseProvider class Aiwang(BaseProvider): url = "https://ai-wang.vercel.app" supports_stream = True supports_gpt_35_turbo = True supports_gpt_35_turbo_16k = True supports_gpt_35_turbo_16k_0613 = True supports_gpt_4 = True supports_gpt_4_0613 = True supports_gpt_4_32k = True supports_gpt_4_32k_0613 = True working = False @staticmethod def create_completion( model: str, messages: list[dict[str, str]], stream: bool, **kwargs: Any, ) -> CreateResult: base = '' for message in messages: base += '%s: %s\n' % (message['role'], message['content']) base += 'assistant:' headers = { "authority": "ai-wang.vercel.app", "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,fa=0.2", "content-type": "application/json", "path": "v1/chat/completions", "origin": f"{server}", "referer": f"{server}/", "x-requested-with": "XMLHttpRequest", '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', } json_data = { "messages": messages, "stream": stream, "model": model, "temperature": kwargs.get("temperature", 0.5), "presence_penalty": kwargs.get("presence_penalty", 0), "frequency_penalty": kwargs.get("frequency_penalty", 0), "top_p": kwargs.get("top_p", 1), "max_tokens": kwargs.get("max_tokens", 4096), } session = requests.Session() # init cookies from server session.get(f"{server}/") response = session.post( f"{server}/api/chat-stream", headers=headers, json=json_data, stream=stream, ) response.encoding = "utf-8" try: # Find the first opening brace and the last closing brace start = response.text.find('{') end = response.text.rfind('}') + 1 # +1 to include the brace itself # Extract the JSON text json_text = response.text[start:end] # Convert the cleaned text to a Python dictionary response_dict = json.loads(json_text) except json.JSONDecodeError: print(f"Failed to decode JSON. Response text was: {response.text}") raise # Extract the desired message yield response_dict['choices'][0]['message']['content'] @classmethod @property def params(cls): params = [ ("model", "str"), ("messages", "list[dict[str, str]]"), ("stream", "bool"), ("temperature", "float"), ("presence_penalty", "int"), ("frequency_penalty", "int"), ("top_p", "int"), ("max_tokens", "int"), ("active_server", "int"), ] param = ", ".join([": ".join(p) for p in params]) return f"g4f.provider.{cls.__name__} supports: ({param})"