Lockchat.py 1.4 KB

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  1. import requests
  2. import os
  3. import json
  4. from ...typing import sha256, Dict, get_type_hints
  5. url = 'http://super.lockchat.app'
  6. model = ['gpt-4', 'gpt-3.5-turbo']
  7. supports_stream = True
  8. needs_auth = False
  9. def _create_completion(model: str, messages: list, stream: bool, temperature: float = 0.7, **kwargs):
  10. payload = {
  11. "temperature": 0.7,
  12. "messages": messages,
  13. "model": model,
  14. "stream": True,
  15. }
  16. headers = {
  17. "user-agent": "ChatX/39 CFNetwork/1408.0.4 Darwin/22.5.0",
  18. }
  19. response = requests.post("http://super.lockchat.app/v1/chat/completions?auth=FnMNPlwZEnGFqvEc9470Vw==",
  20. json=payload, headers=headers, stream=True)
  21. for token in response.iter_lines():
  22. if b'The model: `gpt-4` does not exist' in token:
  23. print('error, retrying...')
  24. _create_completion(model=model, messages=messages, stream=stream, temperature=temperature, **kwargs)
  25. if b"content" in token:
  26. token = json.loads(token.decode('utf-8').split('data: ')[1])['choices'][0]['delta'].get('content')
  27. if token: yield (token)
  28. params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
  29. '(%s)' % ', '.join([f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])