Update app.py

app.py

@@ -19,7 +19,8 @@ Additionally, the model was tasked with finding the topic of each cluster (based
 
 @st.cache_data
 def load_data(min_score=1, max_score=10, show_special=False):
-    ds = load_dataset("HuggingFaceTB/FW_clusters_free_topics", split="train", token=HF_TOKEN, num_proc=2)
+    # HuggingFaceTB/FW_clusters_free_topics
+    ds = load_dataset("HuggingFaceTB/FW_clusters_100k_145_topics", split="train", token=HF_TOKEN, num_proc=2)
     def filter_func(x):
         try:
             score = int(x['educational_score'])