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from __future__ import annotations
import json
import js2py
import requests
from ..typing import Any, CreateResult
from .base_provider import BaseProvider
class DeepAi(BaseProvider):
url: str = "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:
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("https://api.deepai.org/make_me_a_pizza",
headers=headers, data=payload, stream=True)
for chunk in response.iter_content(chunk_size=None):
response.raise_for_status()
yield chunk.decode()
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