Update README.md

README.md

@@ -12,5 +12,4 @@ DReAMy is an open-source toolkit to automatically analyse (for now only) textual
 
 Here you can find the models used by DReAMy that were specifically tuned to analyse dream reports, as well as two datasets containing (non-annotated) dream reports from [DreamBank](https://www.dreambank.net/). Specialised models focus on two main tasks: sentiment analysis and character identification (i.e., NER), with both a multi-label classification and/or generation format.
 
-# Installation and usage
-DReAMy can be easily installed via `pip install dreamy`. We do recommend using a virtual environment with python 3.9 installed. If you wish to play/query a set of DReAMy's model, you can do so using the two Spaces below.
+DReAMy can be easily installed via `pip install dreamy` – we do recommend using a virtual env running python 3.9. Please refer  to the git-repo for code, examples and tutorials. If you wish to test/query (a set of) DReAMy's model, try out a Space below.