diff --git a/.github/actions/run-tests/action.yml b/.github/actions/run-tests/action.yml
index ae9c0c2..891a47d 100644
--- a/.github/actions/run-tests/action.yml
+++ b/.github/actions/run-tests/action.yml
@@ -17,5 +17,6 @@ runs:
 
     - name: Run pytest
       run: |
-        conda run -n test pytest
+        source ~/miniconda/bin/activate test
+        pytest
       shell: bash -el {0}
diff --git a/docs/source/userGuides/graphing.rst b/docs/source/userGuides/graphing.rst
index 2436566..024f407 100644
--- a/docs/source/userGuides/graphing.rst
+++ b/docs/source/userGuides/graphing.rst
@@ -125,13 +125,25 @@ For this example, we construct a very simple hyperameter space to example the br
 Step 2: Preprocessing
 ^^^^^^^^^^^^^^^^^^^^^
 
+Handle filepaths -- not necessary when running locally!
+
+.. ipython:: python
+
+    import sys, os
+    sys.path.insert(0, os.path.abspath('.'))
+    yaml = os.path.join(os.path.abspath('.'),'source', 'userGuides', 'demoFiles', 'params.yaml')
+
+    if not os.path.isfile(yaml):
+        # Print the current working directory
+        cwd = os.getcwd()
+        raise FileNotFoundError(f"YAML parameter file could not be found: {yaml}\nCurrent working directory: {cwd}")
+
 See the :ref:`preprocessing` for a detailed look at the steps involved in data preprocessing. In this specific example, the breast cancer dataset being used has no missing values and most pre-processing steps required for more `organic`, real world datasets have already been taken by scikit-learn.
 
 .. ipython:: python
 
     from thema.multiverse import Planet
 
-    yaml = "/Users/gathrid/Repos/thema_light/Thema/docs/source/userGuides/demoFiles/params.yaml"
     planet = Planet(YAML_PATH=yaml)
     planet.fit()
 
diff --git a/thema/multiverse/universe/galaxy.py b/thema/multiverse/universe/galaxy.py
index f59eeed..03d8ab0 100644
--- a/thema/multiverse/universe/galaxy.py
+++ b/thema/multiverse/universe/galaxy.py
@@ -437,7 +437,7 @@ def show_mds(self, randomState: int = None):
         )
 
         # Update fig axis template
-        fig.update_layout(template="none", width=1100, height=700, margin={"r": 100})
+        fig.update_layout(template="none", margin={"r": 100})
         fig.add_annotation(
             x=1.1,
             y=0.5,
@@ -449,7 +449,10 @@ def show_mds(self, randomState: int = None):
             textangle=90,
         )
         # Show figure
-        fig.show()
+        import plotly.io as pio
+
+        pio.show(fig)
+        # fig.show()
 
     def save(self, file_path):
         """