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---
title: Image Filtering on Encrypted Images using FHE
emoji: 🥷💬
colorFrom: yellow
colorTo: yellow
sdk: gradio
sdk_version: 3.2
app_file: app.py
pinned: true
tags: [FHE, PPML, privacy, privacy preserving machine learning, homomorphic encryption,
security]
python_version: 3.8.15
---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
# Image filtering using FHE
## Running the application on your machine
In this directory, ie `image_filtering`, you can do the following steps.
### Do once
First, create a virtual env and activate it:
<!--pytest-codeblocks:skip-->
```bash
python3 -m venv .venv
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
```
If you are not on Linux, you will need to generate the files manually before launching the app.
See section [Generating new files](#generating-new-files).
## 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/`).
## Generating new files
It is also possible to manually add some new filters in `filters.py`. Yet, in order to be able to use
them interactively in the app, you first need to update the `AVAILABLE_FILTERS` list found in `common.py`
and then compile them by running :
<!--pytest-codeblocks:skip-->
```bash
python3 generate_dev_filters.py
```
Check it finishes well (by printing "Done!").
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