Update app.py

app.py

@@ -134,11 +134,21 @@ def detect_anomalies(input_data, n_samples, outliers_fraction, model_name):
 
 # Function to get anomaly samples
 def get_anomaly_samples(input_data, n_samples, outliers_fraction, model_name):
+    # Detect anomalies
     df = detect_anomalies(input_data, n_samples, outliers_fraction, model_name)
 
-    # Top 10 anomalies
+    # Debugging: Check the distribution of anomaly labels
+    print("Anomaly Label Counts:")
+    print(df["Anomaly_Label"].value_counts())
+
+    # Ensure filtering for anomalies works as expected
     top_10 = df[df["Anomaly_Label"] == "Anomaly"].head(10)
 
+    # If no anomalies are found, show a message
+    if top_10.empty:
+        print("No anomalies found in the top 10 results.")
+        top_10 = pd.DataFrame({"Message": ["No anomalies found"]})
+
     # Middle 10 (mixed)
     mid_start = len(df) // 2 - 5
     middle_10 = df.iloc[mid_start: mid_start + 10]