Update README.md

README.md

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-This repo contains the models and datasets used in DReAMy, an open-source toolkit to automatically analyse (for now only) textual dream reports. 
-Annotations are currently based exclusively on the [Hall & Van de Castle](https://link.springer.com/chapter/10.1007/978-1-4899-0298-6_2) framework, 
-and are divided into two main tasks: sentiment analysis, with both a multi-label classification and/or generation format, and character identification (i.e., NER), 
+This repo contains models and datasets used in [`DReAMy`](https://github.com/lorenzoscottb/DReAMy), an open-source toolkit to automatically analyse dream reports. 
+Models are currently trained to annotate reports with respect to different [Hall & Van de Castle](https://link.springer.com/chapter/10.1007/978-1-4899-0298-6_2) features. 
 For more details on the training and evaluation procedure of the models see [Bertolini et al., 23](https://arxiv.org/abs/2302.14828). 
 
-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. 
+If you wish to test/query (a set of) DReAMy's model, try out one of the Spaces below. 
 
 
-Lastly, if you use a model in your work, please cite the pre-print.
+If you use a model in your work, please consider citing the pre-print.
 ```bibtex
 @misc{https://doi.org/10.48550/arxiv.2302.14828,
   doi = {10.48550/ARXIV.2302.14828},