Hackhathon Start-in-Saclay 2020

Repo created for the Natural Language Processing Backend for the website https://euro-acouphenes.fr/ developed during the hackathon Start-at-Home 10-12 April 2020 @Start-in-Saclay.

This repo will no longer be developed as the project as moved to a new repository: https://github.com/lkorczowski/Tinnitus-NLP

A short (48s) video presents some of the results in the diagnostic prediction of tinnitus patients using NLP LDA model:

app/app_API_predict.py provides a flasks app that served as backend for https://euro-acouphenes.fr/ which was deployed on an independent server. It used a trained model to predict the diagnostic based on some free -text answers of the patients during the questionnaire.

Installation

The following steps must be performed on a Anaconda prompt console, or alternatively, in a Windows command console that has executed the C:\Anaconda3\Scripts\activate.bat command that initializes the PATH so that the conda command is found.

Checkout this repository and change to the cloned directory for the following steps.

$ git clone git@github.com:lkorczowski/hackathon-sah2020.git
$ cd hackathon-sah2020

Create a virtual environment with all dependencies.
```
$ conda env create -f environment.yaml
```
Activate the environment and install this package (optionally with the -e flag).
```
$ conda activate sah-env
$ pip install -e .
```
If you have a problem with a missing package, add it to the environment.yaml, then:
```
$ conda env update --file environment.yaml
```