diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..b5a3c46
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,6 @@
+[build-system]
+requires = [
+    "setuptools>=42",
+    "wheel"
+]
+build-backend = "setuptools.build_meta"
\ No newline at end of file
diff --git a/setup.py b/setup.py
index fa2ca81..8b061de 100644
--- a/setup.py
+++ b/setup.py
@@ -1,34 +1,16 @@
 import setuptools
 
 
-def readme():
-    with open('README.md', 'r') as f:
-        return f.read()
+with open("README.md", "r", encoding="utf-8") as fh:
+    long_description = fh.read()
 
 
 setuptools.setup(
     name='pysnic',
-    version='1.0.3',
+    version='1.0.4',
     description='SNIC superpixels algorithm',
-    long_description='''
-Python-only implementation of the SNIC superpixels algorithm (https://www.epfl.ch/labs/ivrl/research/snic-superpixels/).
-
-Typical usage example:
-::
-
-    from pysnic.algorithms.snic import snic
-    from pysnic.algorithms.polygonize import polygonize
-    from pysnic.algorithms.ramerDouglasPeucker import RamerDouglasPeucker
-
-    segmentation, distance_map, number_of_segments = snic(
-        lab_image, 500, 0.01,
-        update_func=lambda num_pixels: print("processed %05.2f%%" % (num_pixels * 100 / number_of_pixels)))
-
-    rdp = RamerDouglasPeucker(10)
-    graphs = polygonize(segmentation, seeds, rdp)
-
-This project is maintained under: https://github.com/MoritzWillig/pysnic
-''',
+    long_description=long_description,
+    long_description_content_type="text/markdown",
     keywords=["image processing", "computer vision", "image segmentation", "superpixels", "SNIC"],
     classifiers=[
         "Programming Language :: Python :: 3.5",