DeepAi.py 1.4 KB

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647
  1. import os
  2. import json
  3. import random
  4. import hashlib
  5. import requests
  6. from ...typing import sha256, Dict, get_type_hints
  7. url = 'https://deepai.org'
  8. model = ['gpt-3.5-turbo']
  9. supports_stream = True
  10. needs_auth = False
  11. def _create_completion(model: str, messages: list, stream: bool, **kwargs):
  12. def md5(text: str) -> str:
  13. return hashlib.md5(text.encode()).hexdigest()[::-1]
  14. def get_api_key(user_agent: str) -> str:
  15. part1 = str(random.randint(0, 10**11))
  16. part2 = md5(user_agent + md5(user_agent + md5(user_agent + part1 + "x")))
  17. return f"tryit-{part1}-{part2}"
  18. 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'
  19. headers = {
  20. "api-key": get_api_key(user_agent),
  21. "user-agent": user_agent
  22. }
  23. files = {
  24. "chat_style": (None, "chat"),
  25. "chatHistory": (None, json.dumps(messages))
  26. }
  27. r = requests.post("https://api.deepai.org/chat_response", headers=headers, files=files, stream=True)
  28. for chunk in r.iter_content(chunk_size=None):
  29. r.raise_for_status()
  30. yield chunk.decode()
  31. params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
  32. '(%s)' % ', '.join(
  33. [f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])