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import requests | |
import os | |
import json | |
from ...typing import sha256, Dict, get_type_hints | |
url = 'http://super.lockchat.app' | |
model = ['gpt-4', 'gpt-3.5-turbo'] | |
supports_stream = True | |
needs_auth = False | |
def _create_completion(model: str, messages: list, stream: bool, temperature: float = 0.7, **kwargs): | |
payload = { | |
"temperature": 0.7, | |
"messages": messages, | |
"model": model, | |
"stream": True, | |
} | |
headers = { | |
"user-agent": "ChatX/39 CFNetwork/1408.0.4 Darwin/22.5.0", | |
} | |
response = requests.post("http://super.lockchat.app/v1/chat/completions?auth=FnMNPlwZEnGFqvEc9470Vw==", | |
json=payload, headers=headers, stream=True) | |
for token in response.iter_lines(): | |
if b'The model: `gpt-4` does not exist' in token: | |
print('error, retrying...') | |
_create_completion(model=model, messages=messages, stream=stream, temperature=temperature, **kwargs) | |
if b"content" in token: | |
token = json.loads(token.decode('utf-8').split('data: ')[1])['choices'][0]['delta'].get('content') | |
if token: yield (token) | |
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]]) |