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--- |
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title: Encrypted Credit Card Approval Prediction Using Fully Homomorphic Encryption |
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emoji: 💳 ✅ |
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colorFrom: green |
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colorTo: green |
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sdk: gradio |
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sdk_version: 3.40.0 |
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app_file: app.py |
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pinned: true |
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tags: |
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- FHE |
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- PPML |
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- privacy |
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- privacy preserving machine learning |
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- credit card approval |
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- credit score |
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- homomorphic encryption |
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- security |
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python_version: 3.10.11 |
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--- |
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# Credit card approval using FHE |
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## Run the application locally |
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### Install the dependencies |
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First, create a virtual env and activate it: |
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```bash |
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python3 -m venv .venv |
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source .venv/bin/activate |
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``` |
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Then, install the required packages: |
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```bash |
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pip3 install pip --upgrade |
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pip3 install -U pip wheel setuptools --ignore-installed |
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pip3 install -r requirements.txt --ignore-installed |
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``` |
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The above steps should only be done once. |
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## Run the app |
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In a terminal, run: |
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```bash |
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source .venv/bin/activate |
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python3 app.py |
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``` |
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## Interact with the application |
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Open the given URL link (search for a line like `Running on local URL: http://127.0.0.1:8888/`). |
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## Development |
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If the model, data-set or pre/post-processing is modified locally, it is possible to initialize, |
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fit and compile the model all at once using the following command. It will also save the deployment |
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files at the right places in order to make sure the app works properly : |
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```bash |
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python3 development.py |
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``` |
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