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Diffstat (limited to '')
| -rw-r--r-- | g4f/Provider/FakeGpt.py | 94 |
1 files changed, 94 insertions, 0 deletions
diff --git a/g4f/Provider/FakeGpt.py b/g4f/Provider/FakeGpt.py new file mode 100644 index 00000000..43298a4c --- /dev/null +++ b/g4f/Provider/FakeGpt.py @@ -0,0 +1,94 @@ +from __future__ import annotations + +import uuid, time, random, string, json +from aiohttp import ClientSession + +from ..typing import AsyncResult, Messages +from .base_provider import AsyncGeneratorProvider +from .helper import format_prompt + + +class FakeGpt(AsyncGeneratorProvider): + url = "https://chat-shared2.zhile.io" + supports_gpt_35_turbo = True + working = True + _access_token = None + _cookie_jar = None + + @classmethod + async def create_async_generator( + cls, + model: str, + messages: Messages, + proxy: str = None, + **kwargs + ) -> AsyncResult: + headers = { + "Accept-Language": "en-US", + "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36", + "Referer": "https://chat-shared2.zhile.io/?v=2", + "sec-ch-ua": '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"', + "sec-ch-ua-platform": '"Linux"', + "sec-ch-ua-mobile": "?0", + } + async with ClientSession(headers=headers, cookie_jar=cls._cookie_jar) as session: + if not cls._access_token: + async with session.get(f"{cls.url}/api/loads", params={"t": int(time.time())}, proxy=proxy) as response: + response.raise_for_status() + list = (await response.json())["loads"] + token_ids = [t["token_id"] for t in list if t["count"] == 0] + data = { + "token_key": random.choice(token_ids), + "session_password": random_string() + } + async with session.post(f"{cls.url}/auth/login", data=data, proxy=proxy) as response: + response.raise_for_status() + async with session.get(f"{cls.url}/api/auth/session", proxy=proxy) as response: + response.raise_for_status() + cls._access_token = (await response.json())["accessToken"] + cls._cookie_jar = session.cookie_jar + headers = { + "Content-Type": "application/json", + "Accept": "text/event-stream", + "X-Authorization": f"Bearer {cls._access_token}", + } + prompt = format_prompt(messages) + data = { + "action": "next", + "messages": [ + { + "id": str(uuid.uuid4()), + "author": {"role": "user"}, + "content": {"content_type": "text", "parts": [prompt]}, + "metadata": {}, + } + ], + "parent_message_id": str(uuid.uuid4()), + "model": "text-davinci-002-render-sha", + "plugin_ids": [], + "timezone_offset_min": -120, + "suggestions": [], + "history_and_training_disabled": True, + "arkose_token": "", + "force_paragen": False, + } + last_message = "" + async with session.post(f"{cls.url}/api/conversation", json=data, headers=headers, proxy=proxy) as response: + async for line in response.content: + if line.startswith(b"data: "): + line = line[6:] + if line == b"[DONE]": + break + try: + line = json.loads(line) + if line["message"]["metadata"]["message_type"] == "next": + new_message = line["message"]["content"]["parts"][0] + yield new_message[len(last_message):] + last_message = new_message + except: + continue + if not last_message: + raise RuntimeError("No valid response") + +def random_string(length: int = 10): + return ''.join(random.choice(string.ascii_lowercase + string.digits) for _ in range(length))
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