README.md

metadata

title: >-
  Sentiment Analysis On Encrypted Data Using Fully Homomorphic Encryption And
  EZKL
emoji: 🥷💬
colorFrom: yellow
colorTo: yellow
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: true
tags:
  - FHE
  - EZKL
  - PPML
  - privacy
  - privacy preserving machine learning
  - homomorphic encryption
  - security
python_version: 3.10.11

Sentiment Analysis With FHE And EZKL

Launch locally

• First, create a virtual env and activate it:

conda create --name sentiment_analysis_demo python=3.10.11
conda activate sentiment_analysis_demo

• Then, install required packages:

pip3 install pip --upgrade
pip3 install -U pip wheel setuptools --ignore-installed
pip3 install -r requirements.txt --ignore-installed

Check it finish well (with a "Done!"). Please note that the actual model initialization and training can be found in the SentimentClassification notebook (see below).

Compile the FHE algorithm

Download data

pip3 install kaggle
./0_download_data.sh

Compile

cd 1_build
python3 main.py

Launch the app locally

• In a terminal:

cd 2_run
cp ../config.py.example config.py
python3 app.py

Launch docker

TODO

Interact with the application

Open the given URL link (search for a line like Running on local URL: http://127.0.0.1:8888/ in the terminal).