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radx-destiller summarizes key results from publications generated by the NIH RADx-rad initiative.

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radx-destiller

radx-destiller summarizes key results from publications generated by the NIH RADx-rad initiative.

[WORK IN PROGRESS]


Setup


Prerequisites: Miniconda3 (light-weight, preferred) or Anaconda3 and Mamba (faster than Conda)

  • Install Miniconda3
  • Update an existing miniconda3 installation: conda update conda
  • Install Mamba: conda install mamba -n base -c conda-forge
  • Install Git (if not installed): conda install git -n base -c anaconda

  1. Clone this Repository
git clone https://github.com/radxrad/radx-destiller
cd radx-destiller
  1. Create a Conda environment

The file environment.yml specifies the Python version and all required dependencies.

mamba env create -f environment.yml
  1. Setup OpenAI and/or SDSC LLM API Keys
cp env_template .env

Then edit the .env file and set your API keys

Run a Notebook


  1. Activate the conda environment
conda activate radx-destiller
  1. Start jupyter lab and navigate to the notebooks directory
jupyter lab
  1. When you are finished, deactivate the conda environment
conda deactivate

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radx-destiller summarizes key results from publications generated by the NIH RADx-rad initiative.

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