use a variable for port number

app.py

@@ -16,6 +16,9 @@
 from werkzeug.utils import secure_filename
 from gevent.pywsgi import WSGIServer
 
+
+port = 5001
+
 # Define a flask app
 app = Flask(__name__)
 
@@ -31,7 +34,7 @@
 # Check https://keras.io/applications/
 from keras.applications.resnet50 import ResNet50
 model = ResNet50(weights='imagenet')
-print('Model loaded. Check http://127.0.0.1:5000/')
+print('Model loaded. Check http://127.0.0.1:'+str(port)+'/')
 
 
 def model_predict(img_path, model):
@@ -83,5 +86,5 @@ def upload():
     # app.run(port=5002, debug=True)
 
     # Serve the app with gevent
-    http_server = WSGIServer(('0.0.0.0', 5000), app)
+    http_server = WSGIServer(('0.0.0.0', port), app)
     http_server.serve_forever()

requirements_freeze.txt

@@ -0,0 +1,56 @@
+absl-py==0.8.1
+asgiref==3.2.3
+astor==0.8.0
+cachetools==3.1.1
+certifi==2019.11.28
+chardet==3.0.4
+Click==7.0
+cycler==0.10.0
+Django==3.0
+Flask==1.1.1
+gast==0.2.2
+gevent==1.4.0
+google-auth==1.9.0
+google-auth-oauthlib==0.4.1
+google-pasta==0.1.8
+greenlet==0.4.15
+grpcio==1.25.0
+h5py==2.10.0
+idna==2.8
+image==1.5.27
+itsdangerous==1.1.0
+Jinja2==2.10.3
+Keras==2.3.1
+Keras-Applications==1.0.8
+Keras-Preprocessing==1.1.0
+kiwisolver==1.1.0
+Markdown==3.1.1
+MarkupSafe==1.1.1
+matplotlib==3.1.2
+numpy==1.17.4
+oauthlib==3.1.0
+opt-einsum==3.1.0
+pandas==0.25.3
+Pillow==6.2.1
+protobuf==3.11.1
+pyasn1==0.4.8
+pyasn1-modules==0.2.7
+pyparsing==2.4.5
+python-dateutil==2.8.1
+pytz==2019.3
+PyYAML==5.2
+requests==2.22.0
+requests-oauthlib==1.3.0
+rsa==4.0
+scipy==1.3.3
+six==1.13.0
+sqlparse==0.3.0
+tensorboard==2.0.2
+tensorflow==2.0.0
+tensorflow-estimator==2.0.1
+tensorflow-gpu==1.15.0
+termcolor==1.1.0
+tqdm==4.40.0
+urllib3==1.25.7
+Werkzeug==0.16.0
+wrapt==1.11.2