From 98895e5b09ea5e3f19b2263ddca028c7b296abb2 Mon Sep 17 00:00:00 2001 From: Heiner Lohaus Date: Sun, 1 Oct 2023 06:38:11 +0200 Subject: Update HuggingChat to new api Impersonate Aivvm Provider Add ChatForAi and FreeGpt Provider Update AItianhuSpace Provider Improve StreamRequest Support Update get_event_loop Helper --- g4f/Provider/ChatForAi.py | 62 +++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 62 insertions(+) create mode 100644 g4f/Provider/ChatForAi.py (limited to 'g4f/Provider/ChatForAi.py') diff --git a/g4f/Provider/ChatForAi.py b/g4f/Provider/ChatForAi.py new file mode 100644 index 00000000..efb5478e --- /dev/null +++ b/g4f/Provider/ChatForAi.py @@ -0,0 +1,62 @@ +from __future__ import annotations + +import time, hashlib + +from ..typing import AsyncGenerator +from g4f.requests import AsyncSession +from .base_provider import AsyncGeneratorProvider + + +class ChatForAi(AsyncGeneratorProvider): + url = "https://chatforai.com" + supports_gpt_35_turbo = True + working = True + + @classmethod + async def create_async_generator( + cls, + model: str, + messages: list[dict[str, str]], + **kwargs + ) -> AsyncGenerator: + async with AsyncSession(impersonate="chrome107") as session: + conversation_id = f"id_{int(time.time())}" + prompt = messages[-1]["content"] + timestamp = int(time.time()) + data = { + "conversationId": conversation_id, + "conversationType": "chat_continuous", + "botId": "chat_continuous", + "globalSettings":{ + "baseUrl": "https://api.openai.com", + "model": model if model else "gpt-3.5-turbo", + "messageHistorySize": 5, + "temperature": 0.7, + "top_p": 1, + **kwargs + }, + "botSettings": {}, + "prompt": prompt, + "messages": messages, + "sign": generate_signature(timestamp, conversation_id, prompt), + "timestamp": timestamp + } + async with session.post(f"{cls.url}/api/handle/provider-openai", json=data) as response: + response.raise_for_status() + async for chunk in response.content.iter_any(): + yield chunk.decode() + + @classmethod + @property + def params(cls): + params = [ + ("model", "str"), + ("messages", "list[dict[str, str]]"), + ("stream", "bool"), + ] + param = ", ".join([": ".join(p) for p in params]) + return f"g4f.provider.{cls.__name__} supports: ({param})" + +def generate_signature(timestamp, id, prompt): + data = f"{timestamp}:{id}:{prompt}:6B46K4pt" + return hashlib.sha256(data.encode()).hexdigest() -- cgit v1.2.3