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			77 lines
		
	
	
		
			3.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			77 lines
		
	
	
		
			3.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| import requests, json
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| 
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| from abc      import ABC, abstractmethod
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| from ..typing import Any, CreateResult
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| 
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| 
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| class Equing(ABC):
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|     url: str              = 'https://next.eqing.tech/'
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|     working               = True
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|     needs_auth            = False
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|     supports_stream       = True
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|     supports_gpt_35_turbo = True
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|     supports_gpt_4        = False
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| 
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|     @staticmethod
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|     @abstractmethod
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|     def create_completion(
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|         model: str,
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|         messages: list[dict[str, str]],
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|         stream: bool, **kwargs: Any) -> CreateResult:
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| 
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|         headers = {
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|             'authority'         : 'next.eqing.tech',
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|             'accept'            : 'text/event-stream',
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|             'accept-language'   : 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
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|             'cache-control'     : 'no-cache',
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|             'content-type'      : 'application/json',
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|             'origin'            : 'https://next.eqing.tech',
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|             'plugins'           : '0',
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|             'pragma'            : 'no-cache',
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|             'referer'           : 'https://next.eqing.tech/',
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|             'sec-ch-ua'         : '"Not/A)Brand";v="99", "Google Chrome";v="115", "Chromium";v="115"',
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|             'sec-ch-ua-mobile'  : '?0',
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|             'sec-ch-ua-platform': '"macOS"',
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|             'sec-fetch-dest'    : 'empty',
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|             'sec-fetch-mode'    : 'cors',
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|             'sec-fetch-site'    : 'same-origin',
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|             'user-agent'        : 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36',
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|             'usesearch'         : 'false',
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|             'x-requested-with'  : 'XMLHttpRequest'
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|         }
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| 
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|         json_data = {
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|             'messages'          : messages,
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|             'stream'            : stream,
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|             'model'             : model,
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|             'temperature'       : kwargs.get('temperature', 0.5),
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|             'presence_penalty'  : kwargs.get('presence_penalty', 0),
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|             'frequency_penalty' : kwargs.get('frequency_penalty', 0),
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|             'top_p'             : kwargs.get('top_p', 1),
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|         }
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| 
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|         response = requests.post('https://next.eqing.tech/api/openai/v1/chat/completions',
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|             headers=headers, json=json_data, stream=stream)
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|         
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|         if not stream:
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|             yield response.json()["choices"][0]["message"]["content"]
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|             return
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|         
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|         for line in response.iter_content(chunk_size=1024):
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|             if line:
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|                 if b'content' in line:
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|                         line_json = json.loads(line.decode('utf-8').split('data: ')[1])
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|                         token = line_json['choices'][0]['delta'].get('content')
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|                         if token:
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|                             yield token
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| 
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|     @classmethod
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|     @property
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|     def params(cls):
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|         params = [
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|             ("model", "str"),
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|             ("messages", "list[dict[str, str]]"),
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|             ("stream", "bool"),
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|         ]
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|         param = ", ".join([": ".join(p) for p in params])
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|         return f"g4f.provider.{cls.__name__} supports: ({param})" | 
