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--- |
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title: Health Prediction On Ecrypted data with FHE |
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emoji: 🩺😷 |
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colorFrom: gray |
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colorTo: blue |
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sdk: gradio |
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sdk_version: 3.33.1 |
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app_file: app.py |
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pinned: true |
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tags: |
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- FHE |
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- PPML |
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- privacy |
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- privacy preserving machine learning |
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- image processing |
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- homomorphic encryption |
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- security |
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python_version: 3.10.6 |
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--- |
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# Healthcare prediction using FHE |
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## Running the application on your machine |
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From this directory, i.e., `health_prediction`, you can proceed with the following steps. |
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### Do once |
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First, create a virtual env and activate it: |
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<!--pytest-codeblocks:skip--> |
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```bash |
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python3 -m venv .venv2 |
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source .venv/bin/activate |
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``` |
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Then, install required packages: |
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<!--pytest-codeblocks:skip--> |
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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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## Run the following steps each time you relaunch the application |
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In a terminal, run: |
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<!--pytest-codeblocks:skip--> |
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```bash |
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source .venv/bin/activate |
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python3 app.py |
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``` |
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## Interacting 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/`). |
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