Update app.py

app.py

@@ -103,7 +103,7 @@ with gr.Blocks() as demo:
     input_data = gr.Radio(choices=["Central Blob", "Two Blobs", "Blob with Noise", "Moons", "Noise"], value="Moons", label="Dataset")
     feature_x = gr.Dropdown(choices=["Feature1", "Feature2"], value="Feature1", label="Feature 1")
     feature_y = gr.Dropdown(choices=["Feature1", "Feature2"], value="Feature2", label="Feature 2")
-    n_samples = gr.Slider(minimum=50, maximum=2000, step=50, value=500, label="Number of Samples")
+    n_samples = gr.Slider(minimum=10, maximum=10000, step=100, value=500, label="Number of Samples")
     scatter_plot_button = gr.Button("Generate Scatter Plot")
     scatter_plot = gr.Plot(label="Feature Scatter Plot")
 
@@ -115,7 +115,7 @@ with gr.Blocks() as demo:
     
     # Compare Anomaly Detection Algorithms
     gr.Markdown("### Compare Anomaly Detection Algorithms")
-    outliers_fraction = gr.Slider(minimum=0.01, maximum=0.5, step=0.01, value=0.05, label="Fraction of Outliers")
+    outliers_fraction = gr.Slider(minimum=0.001, maximum=0.999, step=0.01, value=0.01, label="Fraction of Outliers")
     input_models = gr.Radio(
         choices=["Robust covariance", "One-Class SVM", "One-Class SVM (SGD)", "Isolation Forest", "Local Outlier Factor", "Autoencoders"],
         value="Isolation Forest",