Update app.py

app.py

@@ -18,18 +18,22 @@ def process_and_show_completion(video_input_path, anomaly_threshold_input, fps,
             print(f"Error occurred: {results[0]}")
             return [results[0]] + [None] * 27
 
-        exec_time, results_summary, df, mse_embeddings, mse_posture, mse_voice, \
-            mse_plot_embeddings, mse_plot_posture, mse_plot_voice, \
-            mse_histogram_embeddings, mse_histogram_posture, mse_histogram_voice, \
-            mse_heatmap_embeddings, mse_heatmap_posture, mse_heatmap_voice, \
-            face_samples_frequent, \
-            anomaly_faces_embeddings, anomaly_frames_posture_images, \
-            aligned_faces_folder, frames_folder, \
-            stacked_heatmap, audio_waveform_plot = results
+        (
+            exec_time, results_summary, df, mse_embeddings, mse_posture, mse_voice,
+            mse_plot_embeddings, mse_plot_posture, mse_plot_voice,
+            mse_histogram_embeddings, mse_histogram_posture, mse_histogram_voice,
+            mse_heatmap_embeddings, mse_heatmap_posture, mse_heatmap_voice,
+            audio_waveform_plot, face_samples_frequent,
+            anomaly_faces_embeddings, anomaly_frames_posture_images,
+            aligned_faces_folder, frames_folder,
+            stacked_heatmap
+        ) = results
 
+        # Convert numpy arrays to PIL Images
         anomaly_faces_embeddings_pil = [Image.fromarray(face) for face in anomaly_faces_embeddings] if anomaly_faces_embeddings is not None else []
         anomaly_frames_posture_pil = [Image.fromarray(frame) for frame in anomaly_frames_posture_images] if anomaly_frames_posture_images is not None else []
 
+        # Load face samples
         face_samples_frequent = [Image.open(path) for path in face_samples_frequent] if face_samples_frequent is not None else []
 
         output = [