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bradarrML/encrypted_sentiment_analysis

sourceHugging Faceupdated 4y agoView on Hugging Face
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App README

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