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--- |
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title: Sentiment Analysis On Encrypted Data Using Fully Homomorphic Encryption And EZKL |
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emoji: 🥷💬 |
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colorFrom: yellow |
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colorTo: yellow |
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sdk: gradio |
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sdk_version: 4.44.0 |
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app_file: app.py |
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pinned: true |
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tags: [FHE, EZKL, PPML, privacy, privacy preserving machine learning, homomorphic encryption, security] |
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python_version: 3.10.11 |
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--- |
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# Sentiment Analysis With FHE And EZKL |
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## Launch locally |
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- First, create a virtual env and activate it: |
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```bash |
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conda create --name sentiment_analysis_demo python=3.10.11 |
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conda activate sentiment_analysis_demo |
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``` |
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- Then, install required packages: |
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```bash |
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pip3 install pip --upgrade |
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pip3 install -U pip wheel setuptools --ignore-installed |
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pip3 install -r requirements.txt --ignore-installed |
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``` |
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Check it finish well (with a "Done!"). Please note that the actual model initialization and training |
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can be found in the [SentimentClassification notebook](SentimentClassification.ipynb) (see below). |
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## Compile the FHE algorithm |
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### Download data |
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```shell |
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pip3 install kaggle |
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./0_download_data.sh |
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``` |
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### Compile |
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```bash |
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cd 1_build |
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python3 main.py |
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``` |
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### Launch the app locally |
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- In a terminal: |
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```bash |
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cd 2_run |
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cp ../config.py.example config.py |
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python3 app.py |
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``` |
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## Launch docker |
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TODO |
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## Interact with the application |
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Open the given URL link (search for a line like `Running on local URL: http://127.0.0.1:8888/` in the |
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terminal). |
