gpt4free/g4f/Provider/DeepAi.py

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from __future__ import annotations
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import json
import js2py
from aiohttp import ClientSession
from ..typing import AsyncGenerator
from .base_provider import AsyncGeneratorProvider
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class DeepAi(AsyncGeneratorProvider):
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url: str = "https://deepai.org"
working = True
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supports_gpt_35_turbo = True
@staticmethod
async def create_async_generator(
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model: str,
messages: list[dict[str, str]],
proxy: str = None,
**kwargs
) -> AsyncGenerator:
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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_pizza", proxy=proxy, data=payload) as response:
response.raise_for_status()
async for stream in response.content.iter_any():
if stream:
yield stream.decode()