deepklarity/jupyter-text2code repository overview

⁠About jupyter-text2code

⁠A proof-of-concept jupyter extension which converts english queries into relevant python code.

⁠Github Repository: https://github.com/deepklarity/jupyter-text2code⁠

⁠Blog post with more details:

⁠Data analysis made easy: Text2Code for Jupyter notebook⁠

⁠Demo Video:

⁠Text2Code for Jupyter notebook⁠

⁠How to Use the Images

⁠Install docker from: https://docs.docker.com/engine/install/⁠

⁠CPU image:

1. Pull the docker image

docker pull deepklarity/jupyter-text2code:latest

1. Run the Docker image

docker run -it -p 8888:8888 deepklarity/jupyter-text2code:latest

⁠GPU image:

1. Pull the docker image

docker pull deepklarity/jupyter-text2code:latest-gpu

1. Run the Docker image

docker run -it --gpus all -p 8888:8888 deepklarity/jupyter-text2code:latest-gpu

⁠Open Jupyter Notebook:

⁠Once the container is running, you will see a URL with a token in the terminal/console. Open that URL in your browser.

Example url: http://127.0.0.1:8888/?token=48c6ea28c1cbce210c008f1ef8dab8fa91ad77420922e259

⁠Usage Instructions:

• You can open the sample notebooks/ctds.ipynb notebook for testing
• Click on the Terminal Icon which appears on the menu (to activate the extension)
• Type "help" to see a list of currently supported commands in the repo
• Watch Demo video⁠ for some examples