Update app.py

app.py

@@ -194,7 +194,7 @@ with gr.Blocks() as demo:
 
     # Compare Anomaly Detection Algorithms
     gr.Markdown("### 2. Compare Anomaly Detection Algorithms")
-    outliers_fraction = gr.Slider(minimum=0.001, maximum=0.999, step=0.1, value=0.2, label="Fraction of Outliers")
+    outliers_fraction = gr.Slider(minimum=0.001, maximum=0.999, step=0.1, value=0.01, label="Fraction of Outliers")
     input_models = ["Robust covariance", "One-Class SVM", "One-Class SVM (SGD)", "Isolation Forest", "Local Outlier Factor"]
     plots = []
     with gr.Row():
@@ -215,6 +215,7 @@ with gr.Blocks() as demo:
     n_samples.change(fn=update_anomaly_comparison, inputs=anomaly_inputs, outputs=anomaly_outputs)
     outliers_fraction.change(fn=update_anomaly_comparison, inputs=anomaly_inputs, outputs=anomaly_outputs)
 
+    '''
     # Example Anomaly Records
     gr.Markdown("### 3. Example Anomaly Records")
     model_dropdown = gr.Dropdown(choices=input_models, value="Isolation Forest", label="Select Model")
@@ -228,5 +229,5 @@ with gr.Blocks() as demo:
         inputs=[input_data, n_samples, outliers_fraction, model_dropdown],
         outputs=[top_table, middle_table, bottom_table],
     )
-
+    '''
 demo.launch(debug=True)