Update app.py

app.py

@@ -16,24 +16,20 @@ def process_and_show_completion(video_input_path, anomaly_threshold_input, fps,
 
         if isinstance(results[0], str) and results[0].startswith("Error"):
             print(f"Error occurred: {results[0]}")
-            return [results[0]] + [None] * 27
+            return [results[0]] + [None] * 25
 
-        (
-            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
+        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 = 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 = [
@@ -46,7 +42,8 @@ def process_and_show_completion(video_input_path, anomaly_threshold_input, fps,
             face_samples_frequent,
             aligned_faces_folder, frames_folder,
             mse_embeddings, mse_posture, mse_voice,
-            stacked_heatmap, audio_waveform_plot
+            stacked_heatmap
+            
         ]
 
         return output
@@ -56,7 +53,7 @@ def process_and_show_completion(video_input_path, anomaly_threshold_input, fps,
         print(error_message)
         import traceback
         traceback.print_exc()
-        return [error_message] + [None] * 27
+        return [error_message] + [None] * 25
 
 def show_results(outputs):
     return gr.Group(visible=True)
@@ -98,7 +95,6 @@ with gr.Blocks() as iface:
                 anomaly_frames_posture = gr.Gallery(label="Anomaly Frames (Body Posture)", columns=6, rows=2, height="auto")
 
             with gr.TabItem("Voice"):
-                audio_waveform_plot = gr.Plot(label="Audio Waveform")
                 mse_voice_plot = gr.Plot(label="MSE: Voice")
                 mse_voice_hist = gr.Plot(label="MSE Distribution: Voice")
                 mse_voice_heatmap = gr.Plot(label="MSE Heatmap: Voice")
@@ -225,7 +221,7 @@ with gr.Blocks() as iface:
             face_samples_most_frequent,
             aligned_faces_folder_store, frames_folder_store,
             mse_heatmap_embeddings_store, mse_heatmap_posture_store, mse_heatmap_voice_store,
-            audio_waveform_plot, stacked_heatmap_plot  
+            stacked_heatmap_plot  
         ]
     ).then(
         show_results,