created my own f(x) to load in examples

app.py

@@ -65,6 +65,18 @@ def predict(
 
     return label
 
+def load_examples(csv_file):
+    '''
+    Load examples from csv file
+    '''
+    # Read examples from CSV file
+    df = pd.read_csv(csv_file)
+
+    # Convert DataFrame to a list of lists
+    examples = df.values.tolist()
+
+    return examples
+
 def load_interface(): 
     '''
     Configure Gradio interface
@@ -211,7 +223,7 @@ def load_interface():
         predict, 
         inputs=inputs, 
         outputs=smoker_label, 
-        examples="/examples",
+        examples=load_examples("examples.csv"),
         title="Interact with the Ensemble Classifier Model",
         description="**Medical Disclaimer**: The predictions provided by this model are for educational purposes only and should not be considered a substitute for professional medical advice."
     )