testing

sqlchat/README.md

@@ -1,42 +0,0 @@
-### Example: `sqlchat` (use like openai pypi package) <a name="example-sqlchat"></a>
-
-```python
-# Import sqlchat
-import sqlchat
-
-# sqlchat.Completion.create
-# sqlchat.StreamCompletion.create
-
-[...]
-
-```
-
-#### Example Chatbot
-```python
-messages = []
-
-while True:
-    user = input('you: ')
-
-    sqlchat_cmpl = sqlchat.Completion.create(
-        prompt   = user,
-        messages = messages
-    )
-
-    print('gpt:', sqlchat_cmpl.completion.choices[0].text)
-    
-    messages.extend([
-        {'role': 'user', 'content': user }, 
-        {'role': 'assistant', 'content': sqlchat_cmpl.completion.choices[0].text}
-    ])
-```
-
-#### Streaming Response:
-
-```python
-for response in sqlchat.StreamCompletion.create(
-    prompt   = 'write python code to reverse a string',
-    messages = []):
-
-    print(response.completion.choices[0].text)
-```

sqlchat/__init__.py

@@ -1,117 +0,0 @@
-from requests import post
-from time     import time
-
-headers = {
-    'authority'      : 'www.sqlchat.ai',
-    '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',
-    'content-type'   : 'text/plain;charset=UTF-8',
-    'origin'         : 'https://www.sqlchat.ai',
-    'referer'        : 'https://www.sqlchat.ai/',
-    '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 SqlchatResponse:
-    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:
-    def create(
-        prompt: str    = 'hello world',
-        messages: list = []) -> SqlchatResponse:
-        
-        response = post('https://www.sqlchat.ai/api/chat', headers=headers, stream=True,
-            json = {
-                'messages': messages,
-                'openAIApiConfig':{'key':'','endpoint':''}})
-
-        return SqlchatResponse({
-            'id'     : f'cmpl-1337-{int(time())}', 
-            'object' : 'text_completion', 
-            'created': int(time()), 
-            'model'  : 'gpt-3.5-turbo', 
-            '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:
-    def create(
-        prompt  : str    = 'hello world',
-        messages: list = [])  -> SqlchatResponse:
-        
-        messages.append({
-            'role':'user',
-            'content':prompt
-        })
-
-        response = post('https://www.sqlchat.ai/api/chat', headers=headers, stream=True,
-            json = {
-                'messages': messages,
-                'openAIApiConfig':{'key':'','endpoint':''}})
-        
-        for chunk in response.iter_content(chunk_size = 2046):
-            yield SqlchatResponse({
-                'id'     : f'cmpl-1337-{int(time())}', 
-                'object' : 'text_completion', 
-                'created': int(time()), 
-                'model'  : 'gpt-3.5-turbo', 
-                
-                '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())
-                }
-            })

t3nsor/README.md

@@ -1,3 +1,5 @@
+### note: currently patched
+
 ### Example: `t3nsor` (use like openai pypi package) <a name="example-t3nsor"></a>
 
 ```python

unfinished/gptbz/__init__.py

@@ -1,6 +1,4 @@
-import asyncio
 import websockets
-
 from json import dumps, loads
 
 async def test():
@@ -20,6 +18,8 @@ async def test():
             try:
                 response      = await wss.recv()
                 json_response = loads(response)
+                print(json_response)
+                
                 ended         = json_response.get('eof')
                 
                 if not ended:
@@ -28,4 +28,3 @@ async def test():
             except websockets.ConnectionClosed:
                 break
 
-asyncio.run(test())

unfinished/ora_test.py

@@ -1,29 +0,0 @@
-# inport ora
-import ora
-
-# create model
-model = ora.CompletionModel.create(
-    system_prompt = 'You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible',
-    description   = 'ChatGPT Openai Language Model',
-    name          = 'gpt-3.5')
-
-print(model.id)
-
-# init conversation (will give you a conversationId)
-init = ora.Completion.create(
-    model  = model,
-    prompt = 'hello world')
-
-print(init.completion.choices[0].text)
-
-while True:
-    # pass in conversationId to continue conversation
-    
-    prompt = input('>>> ')
-    response = ora.Completion.create(
-        model  = model,
-        prompt = prompt,
-        includeHistory = True,
-        conversationId = init.id)
-    
-    print(response.completion.choices[0].text)

unfinished/test.py

@@ -0,0 +1,12 @@
+import gptbz
+import asyncio
+
+
+# asyncio.run(gptbz.test())
+
+import requests
+
+image = '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'
+
+response = requests.get('https://ocr.holey.cc/ncku?base64_str=%s' % image) #.split('base64,')[1])
+print(response.content)