--- title: Sentiment Analysis on Encrypted Data with 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: 3.9 --- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference # Sentiment Analysis With FHE ## Running the application on your machine In this directory, ie `sentiment-analysis-with-transformer`, you can do the following steps. ### Do once - First, create a virtual env and activate it: ```bash python3.9 -m venv .venv source .venv/bin/activate ``` - Then, install required packages: ```bash pip3 install -U pip wheel setuptools --ignore-installed pip3 install -r requirements.txt --ignore-installed ``` - If not on Linux, or if you want to compile the FHE algorithms by yourself: ```bash python3 compile.py ``` Check it finish well (with a "Done!"). ### Do each time you relaunch the application - Then, in a terminal Tab 1: ```bash source .venv/bin/activate uvicorn server:app ``` Tab 1 will be for the Server side. - And, in another terminal Tab 2: ```bash source .venv/bin/activate python3 app.py ``` Tab 2 will be for the Client side. ## Interacting with the application Open the given URL link (search for a line like `Running on local URL: http://127.0.0.1:8888/` in your Terminal 2). ## Training a new model The notebook SentimentClassification.ipynb provides a way to train a new model. Before running the notebook, you need to download the data. ```bash bash download_data.sh ```