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title: Health Prediction On Ecrypted data with FHE | |
emoji: 🩺😷 | |
colorFrom: gray | |
colorTo: blue | |
sdk: gradio | |
sdk_version: 3.33.1 | |
app_file: app.py | |
pinned: True | |
tags: | |
- FHE | |
- PPML | |
- privacy | |
- privacy preserving machine learning | |
- image processing | |
- homomorphic encryption | |
- security | |
python_version: 3.10.6 | |
# Healthcare prediction using FHE | |
## Running the application on your machine | |
From this directory, i.e. `health_prediction`, you can proceed with the following steps. | |
### Do once | |
First, create a virtual env and activate it: | |
<!--pytest-codeblocks:skip--> | |
```bash | |
python3 -m venv .venv2 | |
source .venv/bin/activate | |
``` | |
Then, install required packages: | |
<!--pytest-codeblocks:skip--> | |
```bash | |
pip3 install pip --upgrade | |
pip3 install -U pip wheel setuptools --ignore-installed | |
pip3 install -r requirements.txt --ignore-installed | |
``` | |
## Run the following steps each time you relaunch the application | |
In a terminal, run: | |
<!--pytest-codeblocks:skip--> | |
```bash | |
source .venv/bin/activate | |
python3 app.py | |
``` | |
## Interacting with the application | |
Open the given URL link (search for a line like `Running on local URL: http://127.0.0.1:8888/`). | |