1 files changed, 0 insertions, 136 deletions
diff --git a/unfinished/t3nsor/__init__.py b/unfinished/t3nsor/__init__.py
deleted file mode 100644
index 9b588e98..00000000
--- a/unfinished/t3nsor/__init__.py
+++ /dev/null
@@ -1,136 +0,0 @@
-from time import time
-
-from requests import post
-
-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())
-                }
-            })