import json import js2py import requests from ..typing import Any, CreateResult from .base_provider import BaseProvider class DeepAi(BaseProvider): url = "https://deepai.org" working = True supports_stream = True supports_gpt_35_turbo = True @staticmethod def create_completion( model: str, messages: list[dict[str, str]], stream: bool, **kwargs: Any, ) -> CreateResult: url = "https://api.deepai.org/make_me_a_pizza" 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", } response = requests.post(url, headers=headers, data=payload, stream=True) for chunk in response.iter_content(chunk_size=None): response.raise_for_status() yield chunk.decode()