2 files changed, 181 insertions, 0 deletions

diff --git a/unfinished/t3nsor/README.md b/unfinished/t3nsor/README.md
new file mode 100644
index 00000000..2790bf6e
--- /dev/null
+++ b/unfinished/t3nsor/README.md
@@ -0,0 +1,44 @@
+### note: currently patched
+
+### Example: `t3nsor` (use like openai pypi package) <a name="example-t3nsor"></a>
+
+```python
+# Import t3nsor
+import t3nsor
+
+# t3nsor.Completion.create
+# t3nsor.StreamCompletion.create
+
+[...]
+
+```
+
+#### Example Chatbot
+```python
+messages = []
+
+while True:
+    user = input('you: ')
+
+    t3nsor_cmpl = t3nsor.Completion.create(
+        prompt   = user,
+        messages = messages
+    )
+
+    print('gpt:', t3nsor_cmpl.completion.choices[0].text)
+    
+    messages.extend([
+        {'role': 'user', 'content': user }, 
+        {'role': 'assistant', 'content': t3nsor_cmpl.completion.choices[0].text}
+    ])
+```
+
+#### Streaming Response:
+
+```python
+for response in t3nsor.StreamCompletion.create(
+    prompt   = 'write python code to reverse a string',
+    messages = []):
+
+    print(response.completion.choices[0].text)
+```
diff --git a/unfinished/t3nsor/__init__.py b/unfinished/t3nsor/__init__.py
new file mode 100644
index 00000000..aec45dcf
--- /dev/null
+++ b/unfinished/t3nsor/__init__.py
@@ -0,0 +1,137 @@
+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())
+                }
+            })