latest release on pypi (#105)

* latest release on pypi

* latest release on pypi

* add mixer model in separation README

---------

Co-authored-by: genisplaja <[email protected]>

Author: thomasgnuttall

README.md

@@ -1,4 +1,4 @@
-# compIAM v0.3.0
+# compIAM v0.4.0
 compIAM (**comp**utational analysis of **I**ndian **A**rt **M**usic) is a collaborative initiative involving many researchers that aims at putting together a common repository of datasets, tools, and models for the computational analysis of Carnatic and Hindustani music. 
 
 You can get started on the Computational Analysis of Indian Art Music through our ISMIR 2022 Tutorial: [Computational Methods For Supporting Corpus-Based Research On Indian Art Music](https://mtg.github.io/IAM-tutorial-ismir22/landing.html).
@@ -103,11 +103,11 @@ For any licensing enquires, please contact us at [[email protected]](mailto:mtg-i
 
 ## Citing
 ```bibtex
-@software{compiam_mtg_2023,
+@software{compiam_mtg_2024,
   author = {{Genís Plaja-Roglans and Thomas Nuttall and Xavier Serra}},
   title = {compIAM},
   url = {https://mtg.github.io/compIAM/},
-  version = {0.3.0},
-  year = {2023}
+  version = {0.4.0},
+  year = {2024}
 }
 ```

compiam/separation/README.md

@@ -3,6 +3,9 @@
 | **Tool**                  | **Task**                         | **Paper** |
 |---------------------------|----------------------------------|-----------|
 | ColdDiffSep               | Singing voice extraction         | [1]       |
+| MDXNet w/ mixer model     | Music source separation          | [2]       |
 
 
-[1] G. Plaja-Roglans, M. Miron, A. Shankar, and X. Serra, "Carnatic Singing Voice Separation using Cold Diffusion on Training Data with Bleeding", in International Society for Music Information Retrieval Conference (ISMIR 23), 2023. 
+[1] G. Plaja-Roglans, M. Miron, A. Shankar, and X. Serra, "Carnatic Singing Voice Separation using Cold Diffusion on Training Data with Bleeding", in International Society for Music Information Retrieval Conference (ISMIR 23), 2023. 
+
+[2] Work under review.

compiam/version.py

@@ -1,4 +1,4 @@
 """Version info"""
 
-short_version = "0.3"
-version = "0.3.0"
+short_version = "0.4"
+version = "0.4.0"

pyproject.toml

@@ -11,7 +11,7 @@ license = {file = "COPYING"}
 requires-python = ">=3.9"
 keywords = ["carnatic", "hindustani", "models", "datasets", "tools"]
 classifiers = [
-    "License :: OSI Approved :: AGPL-3.0 license",
+    "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
     "Programming Language :: Python",
     "Development Status :: 3 - Alpha",
     "Intended Audience :: Science/Research",