added tab description to long description

setup.py

@@ -3,21 +3,31 @@
 setup(
     name='explainerdashboard',
     version='0.1.8.0',
-    description='library that',
+    description='explainerdashboard allows you quickly build an interactive dashboard to explain the inner workings of your machine learning model.',
     long_description="""
-    explainerdashboard allows you quickly build an interactive dashboard to explain the inner workings of your machine learning model.
+explainerdashboard allows you quickly build an interactive dashboard to explain the inner workings of your machine learning model.
+The library is flexible in that you first create an ExplainerBunch class that handles the computations and 
+plotting functionality for you, so that you can then build a plotly dash dashboard on top of that. 
 
-    It includes:
-    - Model summary statistics
-    - SHAP values (importances, individual contributions, dependence plots, interaction plots, etc)
-    - permutation importances
-    - partial dependence plots
-    - DecisionTree visualizers
+The standard built-in dashboard comes with a number of standard tabs (that can be switched on individually), namely:
 
-    You can display an interactive dashboard with all of these features with only three lines of code.
+- Model Summary Tab (classifier/regression metrics and plots + feature importances)
+- Contributions Tab (explain individual predictions, and compare what-if scenarios using pdp plots)
+- Dependence Tab (investigate how predictions change along the axis of each feature)
+- Interactions Tab (investigate the interaction effects between your variables)
+- Shadow Trees Tab (for RandomForests, display all the individual trees inside the forest)
 
-    A deployed example can be found at http://titanicexplainer.herokuapp.com
-    """,
+It includes:
+- Model summary statistics
+- SHAP values (importances, individual contributions, dependence plots, interaction plots, etc)
+- permutation importances
+- partial dependence plots
+- DecisionTree visualizers
+
+You can display an interactive dashboard with all of these features with only three lines of code.
+
+A deployed example can be found at http://titanicexplainer.herokuapp.com
+""",
     license='MIT',
     packages=find_packages(),
     package_dir={'explainerdashboard': 'explainerdashboard'}, # the one line where all the magic happens