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| title: Sentiment Analysis On Encrypted Data Using Fully Homomorphic Encryption | |
| emoji: 🥷💬 | |
| colorFrom: yellow | |
| colorTo: yellow | |
| sdk: gradio | |
| sdk_version: 4.44.0 | |
| app_file: app.py | |
| pinned: true | |
| tags: [FHE, PPML, privacy, privacy preserving machine learning, homomorphic encryption, security] | |
| python_version: 3.10.11 | |
| # Sentiment Analysis With FHE | |
| ## Set up the app locally | |
| - First, create a virtual env and activate it: | |
| ```bash | |
| python3 -m venv .venv | |
| source .venv/bin/activate | |
| ``` | |
| - Then, install required packages: | |
| ```bash | |
| pip3 install pip --upgrade | |
| pip3 install -U pip wheel setuptools --ignore-installed | |
| pip3 install -r requirements.txt --ignore-installed | |
| ``` | |
| - (optional) Compile the FHE algorithm: | |
| ```bash | |
| python3 compile.py | |
| ``` | |
| Check it finish well (with a "Done!"). Please note that the actual model initialization and training | |
| can be found in the [SentimentClassification notebook](SentimentClassification.ipynb) (see below). | |
| ### Launch the app locally | |
| - In a terminal: | |
| ```bash | |
| source .venv/bin/activate | |
| python3 app.py | |
| ``` | |
| ## 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). | |
| ## Train a new model | |
| The notebook [SentimentClassification notebook](SentimentClassification.ipynb) provides a way to | |
| train a new model. Be aware that the data needs to be downloaded beforehand using the | |
| [download_data.sh](download_data.sh) file (which requires Kaggle CLI). | |
| Alternatively, the dataset can be downloaded manually at | |
| https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment | |
| ```bash | |
| bash download_data.sh | |
| ``` | |