testing

app.py

@@ -418,6 +418,12 @@ elif app_mode =='Run on Test Videos':
 
         window_size=20
         current_test_df=testing_df[mask]
+
+        if current_test_df.empty:
+            st.error("⚠️ No matching rows in testing_df for this selection.")
+            st.stop()
+        else:
+            st.success(f"✅ Loaded {current_test_df.shape[0]} frames for this selection.")
         X_test_filtered,y_test_filtered = create_timeseries_data(current_test_df,feature_columns_new,label_columns,window_size=window_size)
         # y_filtered_encoded=to_categorical(y_test_filtered, num_classes=len(df['Expression_encoded'].unique()))
         X_test_filtered=np.array(X_test_filtered)
@@ -479,6 +485,10 @@ elif app_mode =='Run on Test Videos':
             repo_type="dataset"
         )
 
+        if not os.path.exists(vid_file):
+            st.error(f"⚠️ Video file not found: {f'test/{category}/{cls}/{filename}'}")
+            st.stop()
+
         vid = cv2.VideoCapture(vid_file)
 
         ffprobe_result = ffprobe(vid_file)