Update README.md

README.md

@@ -1,75 +1,18 @@
-# Predict notebook (8)
+# Formation MLOps 1 : Industrialisation de la Data Science
 
-![branch build status](https://github.com/octo-technology/Formation-MLOps-1/actions/workflows/ci.yml/badge.svg?branch=8_predict_notebook)
+Pour suivre ce TP, nous allons utiliser les GitHub pages suivantes : 
 
-What is this?
--------------
+[TP 0 Installation de l'environnement](https://octo-technology.github.io/Formation-MLOps-1/tp0#0)
 
-This the correction of practical work for Data Science Industrialization.
+[TP 1 Nettoyer le notebook](https://octo-technology.github.io/Formation-MLOps-1/tp1#0)
 
-In this branch you will find :
-- A clean and running notebook
-- A few documented and tested functions
-- Some `sphinx` documentation
-- A `setup.py`
-- A predict notebook that reload model and make predictions.
+[TP 2 Écrire des tests unitaires](https://octo-technology.github.io/Formation-MLOps-1/tp2#0)
 
-How to run the docker container ?
----------------------------------
+[TP 3 Documenter avec Sphinx](https://octo-technology.github.io/Formation-MLOps-1/tp3#0)
 
-```
-docker build -t mlops-1 .
-docker run -p 80:80 mlops-1
-```
+[TP 4 Écrire un script de CI](https://octo-technology.github.io/Formation-MLOps-1/tp4#0)
 
-The API is exposed and can be reached at 0.0.0.0:80
-The doc is available [here](http://127.0.0.1/docs), generated by swagger it can also be used to interact with the api.
-
-[Call example](http://127.0.0.1/predict/2/Nasser,%20Mrs.%20Nicholas%20(Adele%20Achem)/female/?&age=14.0&sibSp=1&parch=0&ticket=237736&fare=30.0708&embarked=C) that should return the following message:
-```
-input_proba:
-0	0.1997672538
-1	0.8002327462
-```
-
-How to restart ?
-----------------
-
-To start this practical work from the beginning you should :
-```
-git stash
-git checkout master
-```
-
-
-How to run tests ?
-------------------
-
-Test are written in bats, to install it on your computer :
-
-For MacOS:
-```
-brew install bats
-```
-
-For Fedora:
-```
-dnf install bats
-```
-
-For Ubuntu:
-```
-sudo add-apt-repository ppa:duggan/bats
-sudo apt-get update
-sudo apt-get install bats
-```
-
-for other systems, look at the documentation [here](https://github.com/sstephenson/bats/wiki/Install-Bats-Using-a-Package)
-
-To run tests, activate the conda environement and run the bats command on the test file :
-
-```
-conda activate python_indus && bats test.bats
-```
+[TP 5 Créer un package python](https://octo-technology.github.io/Formation-MLOps-1/tp5#0)
 
+[TP 6 Créer une API, et la conteneuriser](https://octo-technology.github.io/Formation-MLOps-1/tp6#0)