Update app.py

app.py

@@ -58,9 +58,11 @@ inputs = [
 # the app outputs text
 output = gr.Textbox(label='Probability of having a heart disease, as evaluated by our model:')
 # it's good practice to pass examples, description and a title to guide users
-title = "Structured Data Classification 🧮🩺"
-description =  "Binary classification of structured data including numerical and categorical features for Heart Disease"
-article = "Author: <a href=\"https://huggingface.co/buio\">Marco Buiani</a>. Based on the <a href=\"https://keras.io/examples/structured_data/structured_data_classification_from_scratch/\">keras example</a> by <a href=\"https://twitter.com/fchollet\">François Chollet</a> Model Link: https://huggingface.co/buio/structured-data-classification"
+title = "Structured Data Classification 🧮"
+description =  "Binary classification of structured data including numerical and categorical features for Heart Disease prediction."
+
+article = "Author: <a href=\"https://huggingface.co/buio\">Marco Buiani</a>. Based on the <a href=\"https://keras.io/examples/structured_data/structured_data_classification_from_scratch/\">keras example</a> by <a href=\"https://twitter.com/fchollet\">François Chollet</a> <a href=\"https://huggingface.co/buio/structured-data-classification\">HuggingFace Model</a> "
+
 examples = [[41, 'female', 'atypical angina', 130, 204, 100, 'normal', 150, 'yes', 1.4, 'psloping', 2, 'reversible'],
             [63, 'male', 'typical angina', 145, 233, 150, 'T-T wave abnormality', 150, 'no', 2.3, 'flat', 0, 'fixed']]