| import os | |
| import json | |
| import random | |
| import hashlib | |
| import requests | |
| from ...typing import sha256, Dict, get_type_hints | |
| url = 'https://deepai.org' | |
| model = ['gpt-3.5-turbo'] | |
| supports_stream = True | |
| needs_auth = False | |
| def _create_completion(model: str, messages: list, stream: bool, **kwargs): | |
| def md5(text: str) -> str: | |
| return hashlib.md5(text.encode()).hexdigest()[::-1] | |
| def get_api_key(user_agent: str) -> str: | |
| part1 = str(random.randint(0, 10**11)) | |
| part2 = md5(user_agent + md5(user_agent + md5(user_agent + part1 + "x"))) | |
| return f"tryit-{part1}-{part2}" | |
| 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' | |
| headers = { | |
| "api-key": get_api_key(user_agent), | |
| "user-agent": user_agent | |
| } | |
| files = { | |
| "chat_style": (None, "chat"), | |
| "chatHistory": (None, json.dumps(messages)) | |
| } | |
| r = requests.post("https://api.deepai.org/chat_response", headers=headers, files=files, stream=True) | |
| for chunk in r.iter_content(chunk_size=None): | |
| r.raise_for_status() | |
| yield chunk.decode() | |
| params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \ | |
| '(%s)' % ', '.join( | |
| [f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]]) | |