Update description

app.py

@@ -20,9 +20,9 @@ classifier = TextClassificationPipeline(model=model,
                                         
 # basic elements of page
 title = "Remote Work Detection Application"
-description = "Online tool accompanying the paper _Remote Work across Jobs, Employers, and Countries_ (Hansen et al. 2022). The application allows the user to input arbitrary text and receive a predicted probability of the text exhibiting the possibility of remote work."
+#description = "Online tool accompanying the paper _Remote Work across Jobs, Employers, and Countries_ (Hansen et al. 2022). The application allows the user to input arbitrary text and receive a predicted probability of the text exhibiting the possibility of remote work."
 
-description = "This page lets users test the __Work-from-Home Algorithmic Measurement (WHAM)__ tool used in the paper _“Remote Work across Jobs, Companies and Countries” (Hansen, Lambert, Bloom, Davis, Sadun & Taska, 2022)._ \n  It is maintained by Yabra Muvdi, who works as a pre-doctoral researcher for Professor Hansen. Yabra was instrumental in developing WHAM. \n\n The application allows the user to input arbitrary text and receive a predicted probability of the text exhibiting the possibility of remote work." 
+description = "This page lets users test the __Work-from-Home Algorithmic Measurement (WHAM)__ model used in the paper _“Remote Work across Jobs, Companies and Countries” (Hansen, Lambert, Bloom, Davis, Sadun & Taska, 2022)_. It is maintained by Yabra Muvdi, who works as a pre-doctoral researcher for Professor Hansen. Yabra was instrumental in developing WHAM. \n\n The application allows the user to input any arbitrary text and computes the predicted probability of the text exhibiting the possibility of remote work. Users can also flag any examples that are incorrectly classified by the model. This is simply done by clicking on the _“Flag”_ button and then selecting _“mistake”_." 
 
 article = ""    # text at the end of the app
 examples = [