Project Ephesus

Interpret textual data generated from medical vocal memos

In the Library of Celsus in Ephesus, built in the 2nd century, there are four statues depicting wisdom (Sophia), knowledge (Episteme), intelligence (Ennoia) and excellence (Arete). Our project is named after this city and the goddess Sophia.

What it's all about

After visiting a patient nurses and doctors need to quickly and easily send information

So they record a vocal memo after each visit

Today these memos are read by humans and the infos are manually entered in the database

We want to ease their work by automatically extracting informations from the vocal memos and pre-filling the informations to be entered in the database

This repo is the front end demo website for the Project Ephesus

Demo

Try it yourself

You can play around with our demo here

In this demo, we let you try your own sentences and see the results from our models

Run our code yourself

Install the Ephesus package

Clone the project:

git clone [email protected]:JulianBreaud/ephesusWeb.git

We recommend you to create a fresh virtual environment

Create a python3 virtualenv and activate it:

cd ephesusWeb
pyenv virtualenv ephesusWeb
pyenv local ephesusWeb

Upgrade pip if needed:

pip install --upgrade pip

Install the package:

pip install -r requirements.txt
pip install -e .

Run the website locally

Run the website on your machine:

make streamlit

Run the website on Heroku

Create the app on Heroku:

make heroku_create

Deploy and run the website:

make heroku_deploy

You're done

Congratulations!