Update app.py

app.py

@@ -18,7 +18,7 @@ Additionally, the model was tasked with finding the topic of each cluster.
 @st.cache_data
 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)
+    ds = ds.filter(lambda x: int(x['educational_score']) <= max_score and int(x['educational_score']) >= min_score)
     return ds
 
 st.subheader("Cluster information")