1 files changed, 0 insertions, 137 deletions
diff --git a/t3nsor/__init__.py b/t3nsor/__init__.py
deleted file mode 100644
index aec45dcf..00000000
--- a/t3nsor/__init__.py
+++ /dev/null
@@ -1,137 +0,0 @@
-from requests import post
-from time     import time
-
-headers = {
-    'authority': 'www.t3nsor.tech',
-    'accept': '*/*',
-    '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',
-    'cache-control': 'no-cache',
-    'content-type': 'application/json',
-    'origin': 'https://www.t3nsor.tech',
-    'pragma': 'no-cache',
-    'referer': 'https://www.t3nsor.tech/',
-    'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
-    'sec-ch-ua-mobile': '?0',
-    'sec-ch-ua-platform': '"macOS"',
-    'sec-fetch-dest': 'empty',
-    'sec-fetch-mode': 'cors',
-    'sec-fetch-site': 'same-origin',
-    'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
-}
-
-class T3nsorResponse:
-    
-    class Completion:
-        
-        class Choices:
-            def __init__(self, choice: dict) -> None:
-                self.text           = choice['text']
-                self.content        = self.text.encode()
-                self.index          = choice['index']
-                self.logprobs       = choice['logprobs']
-                self.finish_reason  = choice['finish_reason']
-                
-            def __repr__(self) -> str:
-                return f'''<__main__.APIResponse.Completion.Choices(\n    text           = {self.text.encode()},\n    index          = {self.index},\n    logprobs       = {self.logprobs},\n    finish_reason  = {self.finish_reason})object at 0x1337>'''
-
-        def __init__(self, choices: dict) -> None:
-            self.choices = [self.Choices(choice) for choice in choices]
-
-    class Usage:
-        def __init__(self, usage_dict: dict) -> None:
-            self.prompt_tokens      = usage_dict['prompt_chars']
-            self.completion_tokens  = usage_dict['completion_chars']
-            self.total_tokens       = usage_dict['total_chars']
-
-        def __repr__(self):
-            return f'''<__main__.APIResponse.Usage(\n    prompt_tokens      = {self.prompt_tokens},\n    completion_tokens  = {self.completion_tokens},\n    total_tokens       = {self.total_tokens})object at 0x1337>'''
-    
-    def __init__(self, response_dict: dict) -> None:
-        
-        self.response_dict  = response_dict
-        self.id             = response_dict['id']
-        self.object         = response_dict['object']
-        self.created        = response_dict['created']
-        self.model          = response_dict['model']
-        self.completion     = self.Completion(response_dict['choices'])
-        self.usage          = self.Usage(response_dict['usage'])
-
-    def json(self) -> dict:
-        return self.response_dict
-
-class Completion:
-    model = {
-        'model': {
-                'id'   : 'gpt-3.5-turbo', 
-                'name' : 'Default (GPT-3.5)'
-        }
-    }
-
-    def create(
-        prompt: str    = 'hello world',
-        messages: list = []) -> T3nsorResponse:
-        
-        response = post('https://www.t3nsor.tech/api/chat', headers = headers, json = Completion.model | {
-            'messages'  : messages,
-            'key'       : '',
-            'prompt'    : prompt
-        })
-
-        return T3nsorResponse({
-            'id'     : f'cmpl-1337-{int(time())}', 
-            'object' : 'text_completion', 
-            'created': int(time()), 
-            'model'  : Completion.model, 
-            'choices': [{
-                    'text'          : response.text, 
-                    'index'         : 0, 
-                    'logprobs'      : None, 
-                    'finish_reason' : 'stop'
-            }], 
-            'usage': {
-                'prompt_chars'     : len(prompt), 
-                'completion_chars' : len(response.text), 
-                'total_chars'      : len(prompt) + len(response.text)
-            }
-        })
-
-class StreamCompletion:
-    model = {
-        'model': {
-            'id'   : 'gpt-3.5-turbo', 
-            'name' : 'Default (GPT-3.5)'
-        }
-    }
-
-    def create(
-        prompt: str    = 'hello world',
-        messages: list = [])  -> T3nsorResponse:
-        
-        print('t3nsor api is down, this may not work, refer to another module')
-
-        response = post('https://www.t3nsor.tech/api/chat', headers = headers, stream = True, json = Completion.model | {
-            'messages'  : messages,
-            'key'       : '',
-            'prompt'    : prompt
-        })
-        
-        for chunk in response.iter_content(chunk_size = 2046):
-            yield T3nsorResponse({
-                'id'     : f'cmpl-1337-{int(time())}', 
-                'object' : 'text_completion', 
-                'created': int(time()), 
-                'model'  : Completion.model, 
-                
-                'choices': [{
-                        'text'          : chunk.decode(), 
-                        'index'         : 0, 
-                        'logprobs'      : None, 
-                        'finish_reason' : 'stop'
-                }],
-                
-                'usage': {
-                    'prompt_chars'     : len(prompt), 
-                    'completion_chars' : len(chunk.decode()), 
-                    'total_chars'      : len(prompt) + len(chunk.decode())
-                }
-            })