Azure Hackathon: COMPAS Racial Bias and Predict Scores
- Python 3.5
- Streamlit for providing the interactive web app template.
- Google Colab Notebooks for building the models and predicting the scores.
- Flask and Microsoft Azure to deploy the model and website.
If running on Python 3, the venv is built-in:
python3 -m venv env
and then activate the environment:
source env/bin/activate
Install dependencies (details shown below).
pip3 install -r requirements.txt
streamlit run app.py
We use "pipreqs" to generate requirements.txt which contains the required requirements for the deployment.
Add/remove dependencies at any point by updating requirements.txt (Python deps) or packages.txt (Debian deps) and doing a git push to your remote repo. This will cause Streamlit to detect there was a change in its dependencies, which will automatically trigger its installation.
It is best practice to pin Streamlit version in requirements.txt. Otherwise, the version may be auto-upgraded at any point without your knowledge, which could lead to undesired results (e.g. when we deprecate a feature in Streamlit).