Update app.py

app.py

@@ -324,7 +324,7 @@ if len(match_df) > 0:
                         # extra filtering
 
                         instances = instances[instances.apply(lambda x: x.source_wikidata in [source_wikidata, target_wikidata] and x.target_wikidata in [source_wikidata, target_wikidata], axis=1)]
-                        neg_instances = neg_instances[neg_instances.apply(lambda x: x.source_wikidata in [source_wikidata, target_wikidata] and x.target_wikidata in [source_wikidata, target_wikidata], axis=1)]
+                        # neg_instances = neg_instances[neg_instances.apply(lambda x: x.source_wikidata in [source_wikidata, target_wikidata] and x.target_wikidata in [source_wikidata, target_wikidata], axis=1)]
 
                         st.write(f"**Total Number of Inference Instances:** {int(rel_data['n_evidence'])}")
                         st.write(f"**Number of Instances that support the most frequent relation:** {int(rel_data['n_support'])}")