💎 OpenAI Data Extractor

OpenAI Data Extractor is a robust tool that specializes in extracting meaningful features from unstructured text, thereby converting raw data into actionable, structured information. Built with Streamlit, this application provides an intuitive interface for users to seamlessly extract features from unstructured documents, making data analysis tasks more efficient.

🔗 Try it live here: OpenAI Data Extractor Live App

🌟 Application Demonstration

To get a glimpse of what OpenAI Data Extractor can do, check out this animated demonstration:

🛠️ Setting Up and Running Locally

Follow these steps to get OpenAI Data Extractor up and running on your local machine for development and testing purposes.

Step 1: Clone the Repository

Clone the repository to your local machine using the following command:

git clone https://github.com/christianrfg/OpenAI-DataExtractor.git

Step 2: Python Virtual Environment

Set up a Python virtual environment to manage your project's dependencies. Ensure you have Python 3.9 or higher installed.

Step 3: Install Dependencies

Install the necessary requirements for the project:

pip install -r requirements.txt

Step 4: Launch the App

Execute the following command to start the Streamlit application:

streamlit run src/app.py

The app should now be running on your local machine. Open your web browser and go to the local address provided by Streamlit (typically http://localhost:8501) to use the application.

🤝 Contributions

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. Don't forget to give the project a star! Thanks again!

📝 License

Distributed under the MIT License. See LICENSE for more information.