Updated README and website

Cleaned up for cleaner v3.0 release

README.md

@@ -15,7 +15,7 @@ PyAFAR GPU capabilities work only on Linux or WSL2.
 - `AU predictions`: Normalized faces are used for AU predictions (occurrence and intensity). Separate detection modules for occurrence are available for adults and infants. Intensity predictions are available for adults only.
 - `Output`: PyAFAR can output frame-level predictions in CSV and JSON formats to enable easy reading with most platforms used by both computational as well as domain experts.
 
-As MediaPipe retired its support for python 3.7, PyAFAR has disabled person tracking. We are working a fix.
+As MediaPipe retired its support for python 3.7, PyAFAR has disabled person tracking.
 
 ### For installation instructions click [here](https://github.com/AffectAnalysisGroup/PyAFAR/wiki/3.-Installation) and how to use click [here](https://github.com/AffectAnalysisGroup/PyAFAR/wiki/4.-How-to-use).
 

index.html

@@ -66,7 +66,7 @@ <h6>
 
     <section>
     <div class="col-12 text-center">
-    <h5><font color="red">PyAFAR has disabled person tracking as MediaPipe dependency no longer supports python 3.7. A fix will be issued soon.</font></h5>
+    <h5><font color="red">PyAFAR has disabled person tracking as MediaPipe dependency no longer supports python 3.7. It will be fixed in a future release.</font></h5>
   </div>
   </section>