Update app.py

app.py

@@ -16,13 +16,13 @@ Additionally, the model was tasked with finding the topic of each cluster.
 """)
 
 @st.cache_data
-def load_data(educational_topic, min_score=1, max_score=10):
+def load_data(min_score=1, max_score=10):
     ds = load_dataset("HuggingFaceTB/FW_clusters_free_topics", split="train", token=HF_TOKEN, num_proc=2)
     ds = ds.filter(lambda x: x['educational_score'] <= max_score and x['educational_score'] >= min_score)
     return ds
 
-
 st.subheader("Cluster information")
+selected_category_type = st.selectbox("Select a topic", categories)
 min_score, max_score = st.columns(2)
 with min_score:
     min_value = st.slider('Select minimum educational score', 1, 10, 1)
@@ -31,9 +31,6 @@ with max_score:
 
 ds = load_data(educational_topic, min_score, max_score)
 categories = list(set(ds["category"]))
-
-selected_category_type = st.selectbox("Select a topic", categories)
-
 selected_cluster = ds.filter(lambda x: x['category'] == selected_category)
 
 # Select sample index