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---
title: Health Prediction
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/`).
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