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-rw-r--r-- | sqlchat/README.md | 42 | ||||
-rw-r--r-- | sqlchat/__init__.py | 117 |
2 files changed, 0 insertions, 159 deletions
diff --git a/sqlchat/README.md b/sqlchat/README.md deleted file mode 100644 index 89d38fae..00000000 --- a/sqlchat/README.md +++ /dev/null @@ -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) -``` diff --git a/sqlchat/__init__.py b/sqlchat/__init__.py deleted file mode 100644 index b55c0e46..00000000 --- a/sqlchat/__init__.py +++ /dev/null @@ -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()) - } - })
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