Update app.py

app.py

@@ -32,12 +32,6 @@ def process_and_show_completion(video_input_path, anomaly_threshold_input, fps,
         face_samples_frequent = [Image.open(path) for path in face_samples_frequent]
         face_samples_other = [Image.open(path) for path in face_samples_other]
         
-        # Convert timecodes to seconds for plotting
-        df['Timecode_Seconds'] = df['Timecode'].apply(lambda x: sum(float(t) * 60 ** i for i, t in enumerate(reversed(x.split(':')))))
-        
-        kde_plot = create_kdeplot(df, mse_embeddings, mse_posture)
-        joint_plot = create_jointplot(df, mse_embeddings, mse_posture)
-        
         output = [
             exec_time, results_summary,
             df, mse_embeddings, mse_posture,
@@ -47,8 +41,7 @@ def process_and_show_completion(video_input_path, anomaly_threshold_input, fps,
             anomaly_faces_embeddings_pil, anomaly_frames_posture_pil,
             face_samples_frequent, face_samples_other,
             aligned_faces_folder, frames_folder,
-            mse_embeddings, mse_posture,
-            kde_plot, joint_plot
+            mse_embeddings, mse_posture
         ]
 
         return output
@@ -121,8 +114,7 @@ with gr.Blocks() as iface:
             anomaly_frames_features, anomaly_frames_posture,
             face_samples_most_frequent, face_samples_others,
             aligned_faces_folder_store, frames_folder_store,
-            mse_heatmap_embeddings_store, mse_heatmap_posture_store,
-            kde_plot, joint_plot
+            mse_heatmap_embeddings_store, mse_heatmap_posture_store
         ]
     ).then(
         lambda: gr.Group(visible=True),