upgraded dependencies

Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.8.10-slim-buster
+FROM python:3.8.11-slim-buster
 ENV PYTHONUNBUFFERED 1
 RUN apt-get update \
     && apt-get install -y make \
@@ -8,8 +8,8 @@ RUN mkdir -p /app
 WORKDIR /app
 COPY requirements.txt /app
 RUN python3 -m venv .
-RUN python3 -m pip install pip==21.1.2
-RUN python3 -m pip install setuptools==57.0.0
+RUN python3 -m pip install pip==21.2.4
+RUN python3 -m pip install setuptools==57.4.0
 RUN python3 -m pip install --no-cache-dir -r requirements.txt
 COPY ./app /app
 EXPOSE 5000

README.md

@@ -21,17 +21,17 @@ The goal is to deploy on [Flask] a [deep learning] model as a microservice. The
 The code has been tested using:
 
 * [Python] (3.8): an interpreted high-level programming language for general-purpose programming.
-* [Jupyter Lab] (3.0.16): a web-based interactive development environment for [Jupyter Notebooks], code and data.
+* [Jupyter Lab] (3.1.6): a web-based interactive development environment for [Jupyter Notebooks], code and data.
 * [Flask] (2.0.1): a microframework for [Python] based on Werkzeug, Jinja 2 and good intentions.
 * [Gunicorn] (20.1.0): a [Python] [WSGI] HTTP Server for UNIX.
-* [NGINX] (1.21.0): a free, open-source, high-performance HTTP server, reverse proxy, and IMAP/POP3 proxy server.
+* [NGINX] (1.21.1): a free, open-source, high-performance HTTP server, reverse proxy, and IMAP/POP3 proxy server.
 * [Docker] (19.03.13-ce): 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] (1.29.2): 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] (2.5.0): an open source software [Deep Learning] library for high performance numerical computation using data flow graphs.
-* [Matplotlib] (3.4.2): a plotting library for [Python] and its numerical mathematics extension [NumPy].
+* [TensorFlow] (2.6.0): an open source software [Deep Learning] library for high performance numerical computation using data flow graphs.
+* [Matplotlib] (3.4.3): a plotting library for [Python] and its numerical mathematics extension [NumPy].
 * [NumPy] (1.19.5): a library for [Python], adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
-* [scikit-image] (0.18.1): a collection of algorithms for image processing with [Python].
+* [scikit-image] (0.18.2): a collection of algorithms for image processing with [Python].
 
 ### PYTHON VIRTUAL ENVIRONMENT
 
@@ -43,8 +43,8 @@ Command to configure virtual environment with [venv]:
 ```bash
 ~/deeplearning_flask$ python3 -m venv dlflask38
 ~/deeplearning_flask$ source dlflask38/bin/activate
-(dlflask38)~/deeplearning_flask$ python3 -m pip install pip==21.1.2
-(dlflask38)~/deeplearning_flask$ python3 -m pip install setuptools==57.0.0
+(dlflask38)~/deeplearning_flask$ python3 -m pip install pip==21.2.4
+(dlflask38)~/deeplearning_flask$ python3 -m pip install setuptools==57.4.0
 (dlflask38)~/deeplearning_flask$ python3 -m pip install -r requirements.txt
 ```
 

docker-compose.yml

@@ -11,7 +11,7 @@ services:
       - nginx_network
 
   nginx:
-    image: nginx:1.21.0-alpine
+    image: nginx:1.21.1-alpine
     ports:
       - 80:80
     volumes:

nginx/conf.d/local.conf

@@ -10,6 +10,9 @@ server {
     listen 80;
     server_name localhost;
 
+    client_body_buffer_size 4M;
+    client_max_body_size 4M;
+
     location / {
         # all passed to Gunicorn
         proxy_pass http://web_server;

requirements.txt

@@ -1,10 +1,10 @@
 Flask==2.0.1
 gunicorn==20.1.0
-jupyterlab==3.0.16
-matplotlib==3.4.2
+jupyterlab==3.1.6
+matplotlib==3.4.3
 numpy==1.19.5
-Pillow==8.2.0
+Pillow==8.3.1
 pytest==6.2.4
-requests==2.25.1
-scikit-image==0.18.1
-tensorflow==2.5.0
+requests==2.26.0
+scikit-image==0.18.2
+tensorflow==2.6.0