Saba-Gul/Text-to-SQL

This project provides a Gradio-based web application that allows users to interact with an SQLite database using natural language queries. It leverages the LangChain library and OpenAI's language model to convert plain English questions into SQL queries and execute them on the provided database.

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Experimental

This tool helps anyone who needs to quickly get answers from an SQLite database without writing complex SQL code. You upload your database, then simply type your questions in plain English, and it provides the relevant data directly. It's ideal for business analysts, researchers, or anyone dealing with data stored in SQLite files.

No commits in the last 6 months.

Use this if you frequently need to extract specific information from an SQLite database but aren't proficient in SQL, or want to speed up your data querying process.

Not ideal if you need to perform complex data manipulations, updates, or design database schemas, as it focuses solely on natural language querying for data retrieval.

data-querying business-intelligence research-data-analysis sqlite-data-extraction natural-language-data-access
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 8 / 25

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8

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1

Language

Python

License

Last pushed

Aug 18, 2024

Commits (30d)

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