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PrivEcho/encrypted_sentiment_analysis

sourceHugging Faceupdated 2y agoView on Hugging Face

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App README

Sentiment Analysis With FHE And EZKL

Launch locally

—First, create a virtual env and activate it:

bash

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

—Then, install required packages:

bash

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

shell

pip3 install kaggle
./0_download_data.sh

Compile

bash

cd 1_build
python3 main.py

Launch the app locally

—In a terminal:

bash

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).