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README.md

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 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