Use Streamlit to configure json for path to python or pipenv, and repositories to script locations. Read python file, and run python files.

1. Exhibit that a streamlit app can use submodule to run python scripts, and results can be shown in the web browser.

    pipenv install streamlit
    pipenv run streamlit run app.py

2. Edit paths in python_paths and repos.json to your local paths. Can be done from the app, localhost:8501

3. To test

mkdir caller-test
cd caller-test
touch caller_test.py

Add following to caller_test.py

import argparse

parser = argparse.ArgumentParser(description="Argparse example")
parser.add_argument("-t", "--test", dest="test", action="store_true", default=False, help="it's a boolean")

args = parser.parse_args()
print("You made it into caller_test.py!")
print("\n")
if args.test:
    print("... and you activated it's alternate ending.")
    print("\n")
print("Goodbye.")

Add path to caller-test dir to repos.json, save. Use app to read and / or run caller_test.py. Should work with Python 2 or Python 3. Use optional arguments like -t (--test) or -h (--help) to see help output captured and displayed in the browser.

Removing the import argparse line from the script, the app should display both the import error from the called script, as well as the CalledProcessError for the subprocess.