from __future__ import annotations import json import js2py from aiohttp import ClientSession from ..typing import AsyncGenerator from .base_provider import AsyncGeneratorProvider class DeepAi(AsyncGeneratorProvider): url: str = "https://deepai.org" working = True supports_gpt_35_turbo = True @staticmethod async def create_async_generator( model: str, messages: list[dict[str, str]], proxy: str = None, **kwargs ) -> AsyncGenerator: token_js = """ var agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36' var a, b, c, d, e, h, f, l, g, k, m, n, r, x, C, E, N, F, T, O, P, w, D, G, Q, R, W, I, aa, fa, na, oa, ha, ba, X, ia, ja, ka, J, la, K, L, ca, S, U, M, ma, B, da, V, Y; h = Math.round(1E11 * Math.random()) + ""; f = function () { for (var p = [], q = 0; 64 > q;) p[q] = 0 | 4294967296 * Math.sin(++q % Math.PI); return function (t) { var v, y, H, ea = [v = 1732584193, y = 4023233417, ~v, ~y], Z = [], A = unescape(encodeURI(t)) + "\u0080", z = A.length; t = --z / 4 + 2 | 15; for (Z[--t] = 8 * z; ~z;) Z[z >> 2] |= A.charCodeAt(z) << 8 * z--; for (q = A = 0; q < t; q += 16) { for (z = ea; 64 > A; z = [H = z[3], v + ((H = z[0] + [v & y | ~v & H, H & v | ~H & y, v ^ y ^ H, y ^ (v | ~H)][z = A >> 4] + p[A] + ~~Z[q | [A, 5 * A + 1, 3 * A + 5, 7 * A][z] & 15]) << (z = [7, 12, 17, 22, 5, 9, 14, 20, 4, 11, 16, 23, 6, 10, 15, 21][4 * z + A++ % 4]) | H >>> -z), v, y]) v = z[1] | 0, y = z[2]; for (A = 4; A;) ea[--A] += z[A] } for (t = ""; 32 > A;) t += (ea[A >> 3] >> 4 * (1 ^ A++) & 15).toString(16); return t.split("").reverse().join("") } }(); "tryit-" + h + "-" + f(agent + f(agent + f(agent + h + "x"))); """ payload = {"chas_style": "chat", "chatHistory": json.dumps(messages)} api_key = js2py.eval_js(token_js) headers = { "api-key": api_key, "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36", } async with ClientSession( headers=headers ) as session: async with session.post("https://api.deepai.org/make_me_a_sandwich", proxy=proxy, data=payload) as response: response.raise_for_status() async for stream in response.content.iter_any(): if stream: yield stream.decode()