0.4.1 minor changes

README.md

@@ -6,7 +6,7 @@ It is based on embeddings generated by ESM2 and uses Siamese RNN architecture to
 
 ## Installation
 
-SENSE-PPI requires Python 3.10 or higher. To install the package, run:
+SENSE-PPI requires Python 3.9 or higher. To install the package, run:
 
 ```bash
 pip install senseppi
@@ -29,7 +29,7 @@ Predictions are compared with the STRING database. Optionally, the graphs can be
 - `create_dataset`: creates a dataset from the STRING database based on the taxonomic ID of the organism.
 
 
-The original SENSE-PPI repository contains two pretrained models: `senseppi.ckpt` and `dscript.ckpt` pretrained on SENSE-PPI and DSCRIPT human datasets respectively.
+The original SENSE-PPI repository contains two pretrained models (checkpoints with weights): `senseppi.ckpt` and `dscript.ckpt` pretrained on SENSE-PPI and DSCRIPT human datasets respectively.
 
 - `senseppi.ckpt` (preferred) : Download from [here](http://gitlab.lcqb.upmc.fr/Konstvv/SENSE-PPI/raw/master/pretrained_models/senseppi.ckpt)
 - `dscript.ckpt` : Download from [here](http://gitlab.lcqb.upmc.fr/Konstvv/SENSE-PPI/raw/master/pretrained_models/dscript.ckpt)

senseppi/__init__.py

-__version__ = "0.4.0"
+__version__ = "0.4.1"
 __author__ = "Konstantin Volzhenin"
 
 from . import model, commands, esm2_model, dataset, utils, network_utils

setup.py

@@ -7,7 +7,7 @@ with open("README.md", "r") as fh:
 setup(
     name="senseppi",
     version=senseppi.__version__,
-    description="SENSE_PPI: Sequence-based EvolutioNary ScalE Protein-Protein Interaction prediction",
+    description="SENSE-PPI: Sequence-based EvolutioNary ScalE Protein-Protein Interaction prediction",
     author="Konstantin Volzhenin",
     author_email="konstantin.volzhenin@sorbonne-universite.fr",
     url="",