filter data

app.py

@@ -97,9 +97,9 @@ if df is not None:
     classification_df["comment"] = classification_df["comment"].apply(lambda x: cleaning_for_phobert(x))
     
     labels = ["Quality", "Serve", "Pack", "Shipping", "Price", "Other"]
-    
     result = categorize_comments(classification_df)
     classification_df[labels] = result
+    classification_df = classification_df[classification_df["Other"] != 1]
     classification_df["time"] = pd.to_datetime(classification_df["time"], unit='s') + pd.Timedelta(hours=7)
 
     col_1, col_2, col_3 = st.columns([1, 2, 1], gap="large")