Update app.py

app.py

@@ -43,19 +43,6 @@ description2 = """
 To use the app, click on one of the examples, or adjust the values of the seven employee satisfaction factors, and click Analyze.
 """
 
-def set_values(*values):
-    return values
-
-#Create Example Value Sets
-example_titles = ["Example 1: Balanced", "Example 2: High Variation", "Example 3: Moderate", "Example 4: Extreme"]
-example_values = [
-    [3.7,3.1,3.1,3.3,3.1,2.9,3.1],
-    [3.7,3.1,5.0,5.0,3.1,5.0,3.1],
-    [4.2,3.8,4.0,4.1,3.8,4.0,4.0],
-    [4.2,3.8,5.0,5.0,3.8,5.0,4.0]
-]
-
-
 with gr.Blocks(title = title) as demo:
     gr.Markdown(f"## {title}")
     gr.Markdown(description1)
@@ -83,13 +70,8 @@ with gr.Blocks(title = title) as demo:
             )
 
     gr.Markdown('### Click on any of the examples below to see how it works:')
-
-    inputs = [gr.Number(label=name) for name in 
-              ["PassionateAtWork", "Workload", "SupportiveGM", "WorkEnvironment", "Informed", "LearningDevelopment", "JobSecurity"]]
-
-    output = gr.Label()  # You can adjust this to match your main function output type
-
-    for title, values in zip(example_titles, example_values):
-        gr.Button(title).click(set_values, values, inputs)
+    gr.Examples([[3.7,3.1,3.1,3.3,3.1,2.9,3.1], [3.7,3.1,5.0,5.0,3.1,5.0,3.1], [4.2,3.8,4.0,4.1,3.8,4.0,4.0], [4.2,3.8,5.0,5.0,3.8,5.0,4.0]], 
+                [PassionateAtWork,Workload,SupportiveGM,WorkEnvironment,Informed,LearningDevelopment,JobSecurity], 
+                [label,local_plot], main_func, cache_examples=True)
 
 demo.launch()