--- title: Encrypted Credit Card Approval Prediction Using Fully Homomorphic Encryption emoji: 💳 ✅ colorFrom: green colorTo: green sdk: gradio sdk_version: 4.44.0 app_file: app.py pinned: true tags: - FHE - PPML - privacy - privacy preserving machine learning - credit card approval - credit score - homomorphic encryption - security python_version: 3.10.11 --- # Credit card approval using FHE ## Run the application locally ### Install the dependencies First, create a virtual env and activate it: ```bash python3 -m venv .venv source .venv/bin/activate ``` Then, install the required packages: ```bash pip3 install pip --upgrade pip3 install -U pip wheel setuptools --ignore-installed pip3 install -r requirements.txt --ignore-installed ``` The above steps should only be done once. ## Run the app In a terminal, run: ```bash source .venv/bin/activate python3 app.py ``` ## Interact with the application Open the given URL link (search for a line like `Running on local URL: http://127.0.0.1:8888/`). ## Development If the model, data-set or pre/post-processing is modified locally, it is possible to initialize, fit and compile the model all at once using the following command. It will also save the deployment files at the right places in order to make sure the app works properly : ```bash python3 development.py ```