Update app.py

app.py

@@ -138,5 +138,4 @@ gr.Interface(predict, [age, female, race, elective, aweekend, zipinc_qrtl, hosp_
             live=True,
             title = "Predicting In-Hospital Mortality After TAVR Using Preoperative Variables and Penalized Logistic Regression",
             description = "The app below utilizes the finalized logistic regression model with an l2 penalty based on the manuscript by Alhwiti et al. The manuscript will be submitted to JACC: Cardiovascular Interventions. The data used for model building is all TAVR procedures between 2012 and 2019 as reported in the HCUP NIS database. <br><br> The purpose of the app is to provide evidence-based clinical support for interventional cardiology. <br> <br> For instruction on how to use the app and the encoding required for the variables,  please see <b>XYZ: insert website link here</b>.",
-            examples = ex_data, 
             css = 'https://bootswatch.com/5/journal/bootstrap.css').launch(debug = False);