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58 lines
2.4 KiB
Python
58 lines
2.4 KiB
Python
import json, js2py, requests
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from ..typing import Any, CreateResult
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from .base_provider import BaseProvider
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class DeepAi(BaseProvider):
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url: str = "https://deepai.org"
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working = True
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supports_stream = True
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supports_gpt_35_turbo = True
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@staticmethod
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def create_completion(
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model: str,
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messages: list[dict[str, str]],
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stream: bool, **kwargs: Any) -> CreateResult:
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token_js = """
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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'
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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;
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h = Math.round(1E11 * Math.random()) + "";
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f = function () {
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for (var p = [], q = 0; 64 > q;) p[q] = 0 | 4294967296 * Math.sin(++q % Math.PI);
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return function (t) {
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var v, y, H, ea = [v = 1732584193, y = 4023233417, ~v, ~y],
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Z = [],
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A = unescape(encodeURI(t)) + "\u0080",
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z = A.length;
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t = --z / 4 + 2 | 15;
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for (Z[--t] = 8 * z; ~z;) Z[z >> 2] |= A.charCodeAt(z) << 8 * z--;
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for (q = A = 0; q < t; q += 16) {
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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];
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for (A = 4; A;) ea[--A] += z[A]
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}
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for (t = ""; 32 > A;) t += (ea[A >> 3] >> 4 * (1 ^ A++) & 15).toString(16);
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return t.split("").reverse().join("")
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}
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}();
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"tryit-" + h + "-" + f(agent + f(agent + f(agent + h + "x")));
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"""
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payload = {"chas_style": "chat", "chatHistory": json.dumps(messages)}
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api_key = js2py.eval_js(token_js)
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headers = {
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"api-key": api_key,
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"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",
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}
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response = requests.post("https://api.deepai.org/make_me_a_pizza",
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headers=headers, data=payload, stream=True)
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for chunk in response.iter_content(chunk_size=None):
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response.raise_for_status()
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yield chunk.decode()
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