diff --git a/.github/workflows/putblish_to_pypi.yml b/.github/workflows/putblish_to_pypi.yml
new file mode 100644
index 0000000..3f0cb06
--- /dev/null
+++ b/.github/workflows/putblish_to_pypi.yml
@@ -0,0 +1,29 @@
+name: Release to PyPI
+
+on:
+  release:
+    types: [released]
+
+jobs:
+  release:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up Python 3.9
+      uses: actions/setup-python@v2
+      with:
+        python-version: 3.9
+    - name: Install Tools
+      run: |
+        python -m pip install --upgrade pip
+        pip install setuptools wheel twine
+    - name: Package and Upload
+      env:
+        VERSION: ${{ github.event.release.tag_name }}
+        TWINE_USERNAME: __token__
+        TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }}
+      run: |
+        python setup.py sdist bdist_wheel
+        twine upload dist/* --verbose
diff --git a/.github/workflows/putblish_to_test_pypi.yml b/.github/workflows/putblish_to_test_pypi.yml
index 3860f68..b7115a0 100644
--- a/.github/workflows/putblish_to_test_pypi.yml
+++ b/.github/workflows/putblish_to_test_pypi.yml
@@ -11,10 +11,10 @@ jobs:
 
     steps:
     - uses: actions/checkout@v2
-    - name: Set up Python 3.8
+    - name: Set up Python 3.9
       uses: actions/setup-python@v2
       with:
-        python-version: 3.8
+        python-version: 3.9
     - name: Install Tools
       run: |
         python -m pip install --upgrade pip
diff --git a/README.md b/README.md
index 403af0d..3923d20 100644
--- a/README.md
+++ b/README.md
@@ -67,7 +67,7 @@ my_dataset = zds.ZarrDataset(...,
 Examples of integration of the **ZarrDataset** class with the PyTorch's **DataLoader** can be found in the (documentation)[https://thejacksonlaboratory.github.io/zarrdataset/index.html].
 
 ## Installation
-To install this package and have access to the zarr-based PyTorch Dataset and other functionalities, clone this repository and use the following command from inside the cloned repository location.
+This package can be installed from PyPI with the following command
 ```
-python -m pip install -e .
+pip install zarrdataset
 ```