incorporate feedback in usage instructions

README.md

@@ -12,19 +12,24 @@ There, they can be found in the subdirectory `Entity_Recognition/ner_model`.
 ## Container image
 
 The container images generated from this repository can be found at:
+
 ```
 hub.cc-asp.fraunhofer.de/ai4media-public/named-entity-recognition-flair:[tag]
 ```
+
 The image with the tag `latest` corresponds to the latest commit on the main branch.
 
 ## Usage
 
 This repository contains an example python client. To run the example, do the following:
+
 ```
 docker pull hub.cc-asp.fraunhofer.de/ai4media-public/named-entity-recognition-flair:latest
 docker run -p 127.0.0.1:8061:8061 hub.cc-asp.fraunhofer.de/ai4media-public/named-entity-recognition-flair:latest
 ```
+
 Then, in another terminal:
+
 ```
 git clone https://gitlab.cc-asp.fraunhofer.de/ai4media/public/wp7/named-entity-recognition-flair.git
 cd named-entity-recognition-flair
@@ -33,4 +38,11 @@ source venv/Scripts/activate
 pip install -r requirements.txt
 python ner_client.py
 ```
-You should see some log output with two recognized entities.
+
+Depending on your system, the command for activating the virtual environment might be ``source venv/bin/activate``
+instead of ``source venv/Scripts/activate``. The requirements.txt file also includes ``flair`` and ``torch`` which are
+used for developing the application and building the container image. But these packages are not necessary for running
+the python example client. So if you do not want to install these rather big packages in the virtual environment, just
+delete them from ``requirements.txt`` beforehand.
+
+As a result of the above example, you should see some log output with two recognized entities.