address the case where there may be a single possible value for slider

filter_data_app.py

@@ -241,21 +241,22 @@ def main():
                 key='connected_volumes',
                 on_change=lambda: apply_filter('connected_volumes', st.session_state.connected_volumes)
             )
-
-            voxel_num_values = st.slider("Voxel Number",
-                                    min_value=min(voxel_num_options), 
-                                    max_value=max(voxel_num_options), 
-                                    key='voxel_num_values', 
-                                    value=(min(voxel_num_options),max(voxel_num_options)),
-                                    on_change=lambda: apply_filter('voxel_num_values', st.session_state.voxel_num_values)
-            )
-            radiomics_num_values = st.slider(f"{radiomics_feature} Values",
-                                    min_value=min(radiomics_feature_values), 
-                                    max_value=max(radiomics_feature_values), 
-                                    key='radiomics_feature_values', 
-                                    value=(min(radiomics_feature_values),max(radiomics_feature_values)),
-                                    on_change=lambda: apply_filter('radiomics_feature_values', st.session_state.radiomics_feature_values)
-            )
+            if min(voxel_num_options)!=max(voxel_num_options):
+                voxel_num_values = st.slider("Voxel Number",
+                                        min_value=min(voxel_num_options), 
+                                        max_value=max(voxel_num_options), 
+                                        key='voxel_num_values', 
+                                        value=(min(voxel_num_options),max(voxel_num_options)),
+                                        on_change=lambda: apply_filter('voxel_num_values', st.session_state.voxel_num_values)
+                )
+            if min(radiomics_feature_values)!=max(radiomics_feature_values):
+                radiomics_num_values = st.slider(f"{radiomics_feature} Values",
+                                        min_value=min(radiomics_feature_values), 
+                                        max_value=max(radiomics_feature_values), 
+                                        key='radiomics_feature_values', 
+                                        value=(min(radiomics_feature_values),max(radiomics_feature_values)),
+                                        on_change=lambda: apply_filter('radiomics_feature_values', st.session_state.radiomics_feature_values)
+                )
 
             st.session_state.filters = filters
             filtered_df = filter_data(df, filters,radiomics_feature)