Minor docs tweaks

README.md

@@ -17,7 +17,7 @@
 
 The Interactive Corpus Analysis Tool (ICAT) is an interactive machine learning (IML) dashboard for unlabeled text datasets that allows a user to iteratively and visually define features, explore and label instances of their dataset, and train a logistic regression model on the fly as they do so to assist in filtering, searching, and labeling tasks.
 
-![ICAT Screenshot](https://github.com/ORNL/icat/blob/main/sphinx/source/_static/screenshot1.png)
+![ICAT Screenshot](https://raw.githubusercontent.com/ORNL/icat/main/sphinx/source/_static/screenshot1.png)
 
 ICAT is implemented using holoviz's [panel](https://panel.holoviz.org/) library, so it can either directly be rendered like a widget in a jupyter lab/notebook instance, or incorporated as part of a standalone panel website.
 

sphinx/source/user/interface.rst

@@ -51,10 +51,15 @@ indicates that it was labeled by the user. Green indicates it is selected -
 points can be lasso selected by clicking and dragging on the inside of the ring
 and making a loop around a collection of points.
 
+This part of the interface can be rendered separately with
+``model.view.anchorviz``.
+
 
 Anchor list
 ===========
 
+This part of the interface can be rendered separately with ``model.anchor_list``.
+
 Anchors
 -------
 
@@ -138,6 +143,8 @@ against.
 Data manager
 ============
 
+This part of the interface can be rendered separately with ``model.data``.
+
 Data
 ----