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from __future__ import annotations
import json
import os
import uuid
import requests
from Crypto.Cipher import AES
from ..typing import Any, CreateResult
from .base_provider import BaseProvider
class GetGpt(BaseProvider):
url = 'https://chat.getgpt.world/'
supports_stream = True
working = False
supports_gpt_35_turbo = True
@staticmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
stream: bool, **kwargs: Any) -> CreateResult:
headers = {
'Content-Type' : 'application/json',
'Referer' : 'https://chat.getgpt.world/',
'user-agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36',
}
data = json.dumps(
{
'messages' : messages,
'frequency_penalty' : kwargs.get('frequency_penalty', 0),
'max_tokens' : kwargs.get('max_tokens', 4000),
'model' : 'gpt-3.5-turbo',
'presence_penalty' : kwargs.get('presence_penalty', 0),
'temperature' : kwargs.get('temperature', 1),
'top_p' : kwargs.get('top_p', 1),
'stream' : True,
'uuid' : str(uuid.uuid4())
}
)
res = requests.post('https://chat.getgpt.world/api/chat/stream',
headers=headers, json={'signature': _encrypt(data)}, stream=True)
res.raise_for_status()
for line in res.iter_lines():
if b'content' in line:
line_json = json.loads(line.decode('utf-8').split('data: ')[1])
yield (line_json['choices'][0]['delta']['content'])
@classmethod
@property
def params(cls):
params = [
('model', 'str'),
('messages', 'list[dict[str, str]]'),
('stream', 'bool'),
('temperature', 'float'),
('presence_penalty', 'int'),
('frequency_penalty', 'int'),
('top_p', 'int'),
('max_tokens', 'int'),
]
param = ', '.join([': '.join(p) for p in params])
return f'g4f.Provider.{cls.__name__} supports: ({param})'
def _encrypt(e: str):
t = os.urandom(8).hex().encode('utf-8')
n = os.urandom(8).hex().encode('utf-8')
r = e.encode('utf-8')
cipher = AES.new(t, AES.MODE_CBC, n)
ciphertext = cipher.encrypt(_pad_data(r))
return ciphertext.hex() + t.decode('utf-8') + n.decode('utf-8')
def _pad_data(data: bytes) -> bytes:
block_size = AES.block_size
padding_size = block_size - len(data) % block_size
padding = bytes([padding_size] * padding_size)
return data + padding
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