Update app.py

app.py

@@ -47,15 +47,12 @@ def visualize_input_data():
     plt.axis("square")
     plt.legend(handles=handles, labels=["outliers", "inliers"], title="true class")
     plt.title("Gaussian inliers with \nuniformly distributed outliers")
-    # plt.show()
-    # plt.clear()
     return fig
 
 
 
 
 
-
 title = " An example using IsolationForest for anomaly detection."
 description1 = "The isolation forest is an Ensemble of Isolation trees and it isolates the datapoints using recursive random partitioning."
 description2 = "In case of outliers the number of splits required is greater than those required for inliers."
@@ -64,22 +61,26 @@ description3 = "We will use the toy dataset as given in the scikit-learn page fo
 with gr.Blocks(title=title) as demo:
     
     gr.Markdown(f"# {title}")
-    gr.Markdown(f"# {description1}")
-    gr.Markdown(f"# {description2}")
-    gr.Markdown(f"# {description3}")
+    gr.Markdown(
+    """
+    The isolation forest is an Ensemble of Isolation trees and it isolates the data points using recursive random partitioning.
+    In case of outliers the number of splits required is greater than those required for inliers.
+    We will use the toy dataset for our educational demo as given in the scikit-learn page for Isolation Forest.
+    
+    """)
 
     gr.Markdown(" **https://scikit-learn.org/stable/auto_examples/ensemble/plot_isolation_forest.html#sphx-glr-auto-examples-ensemble-plot-isolation-forest-py**")
     
     loaded_model = load_hf_model_hub()
 
-    with gr.Tab("Visualize Input dataset"):
+    with gr.Tab("# Visualize Input dataset"):
         btn = gr.Button(value="Visualize input dataset")
         btn.click(visualize_input_data, outputs= gr.Plot(label='Visualizing input dataset') )
 
-    with gr.Tab("Plot Decision Boundary"):
+    with gr.Tab("# Plot Decision Boundary"):
         image_decision = gr.Image('./downloaded-model/decision_boundary.png')
     
-    with gr.Tab("Plot Path"):
+    with gr.Tab("# Plot Path"):
         image_path = gr.Image('./downloaded-model/plot_path.png')