sqlchat

sqlchat/README.md

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+### 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

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+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())
+                }
+            })

testing/sqlchat_test.py

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+import sqlchat
+
+for response in sqlchat.StreamCompletion.create(
+    prompt   = 'write python code to reverse a string',
+    messages = []):
+
+    print(response.completion.choices[0].text, end='')