Dockerfile

 # For finding latest versions of the base image see
 # https://github.com/SwissDataScienceCenter/renkulab-docker
-ARG RENKU_BASE_IMAGE=renku/renkulab-vnc:771cc49
+ARG RENKU_BASE_IMAGE=renku/renkulab-vnc:0.10.1
 FROM ${RENKU_BASE_IMAGE}
 
 # Uncomment and adapt if code is to be included in the image

README.md

 # autograde
 
-`autograde` is a toolbox for testing Jupyter notebooks. Autograde executed of notebooks with consecutive unit testing of the final notebook state and allows refining results (e.g. grading plots by hand) in the audit mode. Autograde summarizes results in human and machine-readable formats.
+`autograde` is a toolbox for testing Jupyter notebooks. Autograde executes notebooks with consecutive unit testing of the final notebook state and allows refining results (e.g. grading plots by hand) in the audit mode. Autograde summarizes results in human (html) and machine-readable (JSON) formats.
 https://github.com/cssh-rwth/autograde
 
 ## Demo
@@ -27,7 +27,7 @@ This command generates a compressed archive named `results_[Lastname1,Lastname2,
 - `restults.json`: test results
 
 ### Inspect and edit automatic grades
-Let's use `autogarde audit` to inspect and edit the grades generated by automatic testing located in subfolder `grading/`.
+Let's use `autograde audit` to inspect and edit the grades generated by automatic testing located in subfolder `grading/`.
 ```bash
 autograde audit grading/
 ```
@@ -57,9 +57,9 @@ unzip results_\[Bar\,Foo\]_598b9a96.zip
 popd
 ```
   
-Here is how the generated report looks like:
-![image](https://renkulab.io/gitlab/learn-renku/teaching-on-renku/autograde/raw/master/images/report.png)
-You can display the full contents of `grading/report.html` by opening it either from interactive session or locally.
+Here is how the generated `grading/report.html` looks like:  
+![image](https://renkulab.io/gitlab/learn-renku/teaching-on-renku/autograde/raw/master/images/report_html.gif)
+You can display the full contents of this report by opening it either from interactive session or locally.
 
 Let's summarise results and generate inside subfolder `grading/` the follwoing 2 files:
 - `summary.csv` with aggregated results
@@ -68,8 +68,6 @@ Let's summarise results and generate inside subfolder `grading/` the follwoing 2
 autograde summary grading/
 ```
   
-Here is how the generated summary looks like:
-![image](https://renkulab.io/gitlab/learn-renku/teaching-on-renku/autograde/raw/master/images/summary.png)
-You can display the contents of `grading/summary.html` by opening it either from interactive session or locally.
-
+Here is how the generated summary `grading/summary.html` looks like:  
+![image](https://renkulab.io/gitlab/learn-renku/teaching-on-renku/autograde/raw/master/images/summary_html.gif)