mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-26 12:41:56 +03:00
100 lines
3.6 KiB
Python
100 lines
3.6 KiB
Python
from __future__ import annotations
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import hashlib
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import time
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import uuid
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import json
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from datetime import datetime
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from aiohttp import ClientSession
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from ..typing import SHA256, AsyncResult, Messages
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from .base_provider import AsyncGeneratorProvider
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class Ails(AsyncGeneratorProvider):
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url: str = "https://ai.ls"
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working = False
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supports_gpt_35_turbo = True
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@staticmethod
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async def create_async_generator(
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model: str,
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messages: Messages,
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stream: bool,
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proxy: str = None,
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**kwargs
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) -> AsyncResult:
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headers = {
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"authority": "api.caipacity.com",
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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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"authorization": "Bearer free",
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"client-id": str(uuid.uuid4()),
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"client-v": "0.1.278",
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"content-type": "application/json",
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"origin": "https://ai.ls",
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"referer": "https://ai.ls/",
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"sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
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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": "cross-site",
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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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"from-url": "https://ai.ls/?chat=1"
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}
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async with ClientSession(
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headers=headers
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) as session:
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timestamp = _format_timestamp(int(time.time() * 1000))
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json_data = {
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"model": "gpt-3.5-turbo",
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"temperature": kwargs.get("temperature", 0.6),
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"stream": True,
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"messages": messages,
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"d": datetime.now().strftime("%Y-%m-%d"),
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"t": timestamp,
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"s": _hash({"t": timestamp, "m": messages[-1]["content"]}),
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}
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async with session.post(
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"https://api.caipacity.com/v1/chat/completions",
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proxy=proxy,
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json=json_data
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) as response:
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response.raise_for_status()
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start = "data: "
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async for line in response.content:
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line = line.decode('utf-8')
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if line.startswith(start) and line != "data: [DONE]":
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line = line[len(start):-1]
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line = json.loads(line)
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if token := line["choices"][0]["delta"].get("content"):
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if "ai.ls" in token or "ai.ci" in token:
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raise Exception(f"Response Error: {token}")
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yield token
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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 _hash(json_data: dict[str, str]) -> SHA256:
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base_string: str = f'{json_data["t"]}:{json_data["m"]}:WI,2rU#_r:r~aF4aJ36[.Z(/8Rv93Rf:{len(json_data["m"])}'
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return SHA256(hashlib.sha256(base_string.encode()).hexdigest())
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def _format_timestamp(timestamp: int) -> str:
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e = timestamp
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n = e % 10
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r = n + 1 if n % 2 == 0 else n
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return str(e - n + r) |