upgraded dependencies

README.md

@@ -21,12 +21,12 @@ The goal is to deploy on [Flask] a [Deep Learning] model as a microservice. The
 The code has been tested using:
 
 - [Python] (3.12): an interpreted high-level programming language for general-purpose programming.
-- [Jupyter Lab] (4.1): a web-based interactive development environment for [Jupyter Notebooks], code and data.
+- [Jupyter Lab] (4.2): a web-based interactive development environment for [Jupyter Notebooks], code and data.
 - [Flask] (3.0): a microframework for [Python] based on Werkzeug, Jinja 2 and good intentions.
 - [Gunicorn] (22.0): a [Python] [WSGI] HTTP Server for UNIX.
 - [NGINX] (1.25): a free, open-source, high-performance HTTP server, reverse proxy, and IMAP/POP3 proxy server.
 - [Docker] (26.1): an open platform for developers and sysadmins to build, ship, and run distributed applications, whether on laptops, data center VMs, or the cloud.
-- [Docker Compose] (2.26): a tool for defining and running multi-container [Docker] applications.
+- [Docker Compose] (2.27): a tool for defining and running multi-container [Docker] applications.
 - [Keras] ([TensorFlow] built-in): a high-level neural networks [API], written in [Python] and capable of running on top of [TensorFlow].
 - [TensorFlow] (2.16): an open source software [Deep Learning] library for high performance numerical computation using data flow graphs.
 - [Matplotlib] (3.8): a plotting library for [Python] and its numerical mathematics extension [NumPy].

requirements.txt

@@ -2,8 +2,9 @@ Flask==3.0.3
 gunicorn==22.0.0
 numpy==1.26.4
 Pillow==10.3.0
+pur==7.3.1
 pytest==8.2.0
 requests==2.31.0
-ruff==0.4.2
+ruff==0.4.4
 scikit-image==0.23.2
 tensorflow==2.16.1

requirements_dev.txt

@@ -1,3 +1,3 @@
 -r requirements.txt
-jupyterlab==4.1.8
+jupyterlab==4.2.0
 matplotlib==3.8.4