ormGPT

ormGPT is an open-source ORM (Object-Relational Mapping) library for Python that uses OpenAI's GPT-3 model to translate plain language into SQL queries. It is currently compatible with the following database dialects: MySQL, PostgreSQL, and SQLite. It also supports the following languages: English, German, French, Spanish, Polish, Italian, Dutch, Portuguese, Ukrainian, Arabic, Chinese, Japanese, Korean, Turkish, and many more.

Here is an example of how to use ormGPT to translate plain language into SQL:

Python

import ormGPT # Create an ormGPT client client = ormGPT.Client() # Translate plain language into SQL sql_query = client.translate("Select all users from the users table") # Print the SQL query print(sql_query) 

Output:

SQL

SELECT * FROM users 

ormGPT can also be used to generate more complex SQL queries, such as queries with joins, filters, and aggregates. For example, the following code shows how to generate a query to select all users who have placed an order in the last month:

Python

import ormGPT # Create an ormGPT client client = ormGPT.Client() # Generate a SQL query sql_query = client.translate("Select all users from the users table who have placed an order in the last month") # Print the SQL query print(sql_query) 

Output:

SQL

SELECT * FROM users WHERE order_date >= CURRENT_DATE - INTERVAL 1 MONTH 

ormGPT is a powerful tool that can be used to simplify the process of writing SQL queries. It is especially useful for users who are not familiar with SQL or who want to generate complex queries quickly and easily.

Here are some of the benefits of using ormGPT:

• Easy to use: ormGPT has a simple and intuitive API. Users can translate plain language into SQL queries with just a few lines of code.
• Powerful: ormGPT can generate complex SQL queries with joins, filters, and aggregates.
• Versatile: ormGPT is compatible with a variety of database dialects and languages.

Here are some examples of how ormGPT can be used:

• Data analysts can use ormGPT to generate SQL queries for their data analysis tasks. This can save them time and effort, and help them to focus on their analysis.
• Web developers can use ormGPT to generate SQL queries for their web applications. This can help them to develop their applications more quickly and easily.
• Machine learning engineers can use ormGPT to generate SQL queries for their machine learning tasks. This can help them to train and deploy their machine learning models more quickly and easily.

Overall, ormGPT is a valuable tool for anyone who needs to generate SQL queries. It is easy to use, powerful, and versatile.