TablesGPT is a powerful and versatile open-source application that allows users to extract, organize, analyze, and visualize tabular data from files using natural language commands.

Data Extraction

• PDF Table Extraction: Enable users to efficiently extract structured tabular data from PDF documents. The implementation will be designed to handle varying table formats, with the capability to accurately identify and parse data from both simple and complex table structures.
  

• SQL Query Export: Provide users with the ability to generate SQL queries tailored for inserting the generated JSON data into their preferred database system.

1️⃣ Navigate to the apis directory

2️⃣ Update the .env file with your OpenAI API key.

1️⃣ Navigate to the frontend directory:

$ cd frontend

2️⃣ Install the required dependencies (if you haven't already):

$ npm install

3️⃣Start the React frontend:

$ npm start

1️⃣ Navigate to the apis directory:

$ cd apis

2️⃣ Install the required dependencies (if you haven't already):

$ python -m pip install -r requirements.txt

3️⃣ Run the Flask API server:

$ python app.py

We welcome and appreciate any contributions to our community-driven project. Our goals are to enhance the accessibility and usability of tabular data manipulation, and to make it significantly easier for users with limited technical expertise to interact with and analyze complex datasets. 🚀

Discussions, bug reports, issues, and pull requests are all welcome. If you're interested in contributing through pull requests, please follow the guidelines below.

• Review Issues and Pull Requests before submitting your own.
• Fork the repository and create your branch from the master branch.
• Make sure your code is well-documented, easy to understand, and readable.
• Provide a clear and concise description of the changes made in the pull request.
• Ensure that your pull request has a descriptive title and a reference to the relevant issue(s).
• Be responsive and open to feedback and suggestions from the community.
• Please be patient, as we have a small team at the moment and only one person reviewing the pull requests.