Update README.md

README.md

@@ -54,7 +54,7 @@ python -m rl_zoo3.load_from_hub --algo dqn --env SpaceInvadersNoFrameskip-v4 -or
 python -m rl_zoo3.enjoy --algo dqn --env SpaceInvadersNoFrameskip-v4  -f logs/
 ```
 
-## Training (with the RL Zoo) 🖥️
+## Training (with the RL Zoo) 👾
 ```
 python -m rl_zoo3.train --algo dqn --env SpaceInvadersNoFrameskip-v4 -f logs/
 # Upload the model and generate video (when possible)
@@ -90,3 +90,20 @@ OrderedDict([('batch_size', 32),
 ```python
 {'render_mode': 'rgb_array'}
 ```
+
+# Displaying the model visually 👀
+Finally, we now have to display our model so the audience can see what we've done! To do that, first you must install the following libraries and run a virtual screen:
+```%%capture
+!apt install python-opengl
+!apt install xvfb
+!pip3 install pyvirtualdisplay
+```
+
+```
+from pyvirtualdisplay import Display
+
+virtual_display = Display(visible=0, size=(1400, 900))
+virtual_display.start()
+```
+
+Once you're in your model repository page, go over to "Files and Versions" and create a new folder called "replay.mp4" and simply upload your video and BOOM the virtual display will be right there in your model card! 🖥️