Generate rows of persons with attributes such as phone number, name, email, health and more with this Streamlit web app.
Check the notebook for a demo.
Export support: CSV, Excel, SQL
Some data generated with this tool might result in real personal data. Make sure to anonymize colums with sensitive information if you use this tool for anything public.
- Docker installed on your machine. You can download and install Docker from the official Docker website.
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Clone this repository
git clone https://github.com/wlinds/tpme.git
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Build the Docker image
docker build -t tpme .
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Run the Docker container
docker run -d -p 8501:8501 tpme
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Access the application
Open your web browser and go to
http://localhost:8501
.
tpme/
├── app.py # Main GUI
├── requirements.txt # Python dependencies
└── Dockerfile # Docker configuration file
Feel free to fork this repository and submit pull requests. For major changes, please open an issue first to discuss what you would like to change.