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
To get a glimpse of what OpenAI Data Extractor can do, check out this animated demonstration:
Follow these steps to get OpenAI Data Extractor up and running on your local machine for development and testing purposes.
Clone the repository to your local machine using the following command:
git clone https://github.com/christianrfg/OpenAI-DataExtractor.gitSet up a Python virtual environment to manage your project's dependencies. Ensure you have Python 3.9 or higher installed.
Install the necessary requirements for the project:
pip install -r requirements.txtExecute the following command to start the Streamlit application:
streamlit run src/app.pyThe 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 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!
Distributed under the MIT License. See LICENSE for more information.