Step 4: Update the data set
pypi_data_harvest.py requires an API key from
Create a hidden directory in your user's home folder called .librariesio
Saved libraries.io api key in a txt file called api_key.txt
py pypi_data_harvest.py --update "pypi_info_db.csv"
New PyPI packages are uploaded every day, therefore you will want to update the data set before use.
Step 5: Run the web app locally
streamlit run pypi_streamlit.py
if you have more than one version of python installed you may need to run streamlit like so:
python3 -m streamlit run pypi_streamlit.py
You will want to run the app locally to use the full data set.