Update app.py

app.py

@@ -34,16 +34,16 @@ def load_data(min_score=1, max_score=10, show_special=False):
 st.subheader("Cluster information")
 col_1, col_2, col_3 = st.columns(3)
 with col_1:
-    min_value = st.slider('Select minimum educational score', 1, 10, 1, key='min_score')
+    show_special = st.checkbox('Show only clusters with undefined educational score', False)
 with col_2:
-    max_value = st.slider('Select maximum educational score', 1, 10, 10, key='max_score')
+    min_value = st.slider('Select minimum educational score', 1, 10, 1, key='min_score')
 with col_3:
-    show_special = st.checkbox('Show only clusters with undefined educational score', False)
+    max_value = st.slider('Select maximum educational score', 1, 10, 10, key='max_score')
     
 # Load data based on slider values and checkbox status
 ds = load_data(min_value, max_value, show_special)
-selected_category_type = st.selectbox("Select a topic", categories)
 categories = list(set(ds["category"]))
+selected_category = st.selectbox("Select a topic", categories)
 selected_cluster = ds.filter(lambda x: x['category'] == selected_category)
 
 # Select sample index
@@ -59,6 +59,7 @@ if n_samples > 0:
         index_example = st.number_input(f"Found {len(files)} files in the cluster, choose one",  min_value=0, max_value=len(files)-1, value=0, step=1)
 
     sample = files[index_example]
+    st.markdown(f"**Topic educational score**: {sample['educational_score']}")
     st.markdown(sample)
 else:
     st.markdown("No files found, change the cluster.")