.

app.py

@@ -124,7 +124,8 @@ with gr.Blocks(css="""
             req_5_submit = gr.Button(value="Submit", elem_id="submit_button")
         with gr.Column(scale=1):
             also_likes_df = gr.Dataframe(value=also_like(globals()[f"data_{selected_dataset_5.value}"], t5_doc_uuid.value, t5_visitor_uuid.value,
-                                                         t5_sorting.value == 'Ascending'))
+                                                         t5_sorting.value == 'Ascending'),
+                                         headers=["Document UUID", "Count"])
 
     gr.Markdown("""
         For the above “also like” functionality, this section generates a graph that displays the relationship between the input document and all documents that have been found as “also like” documents (and only these documents)

cw2.py

@@ -100,10 +100,8 @@ def also_like(data, doc_uuid, visitor_uuid, ascending, req_5=True):
         return pd.DataFrame(y)
     try:
         if ascending:
-            print("Not Here")
             return pd.DataFrame(y).groupby(1).count().nsmallest(10, [0]).reset_index().tail(-1)
         else:
-            print("Here")
             return pd.DataFrame(y).groupby(1).count().nlargest(10, [0]).reset_index().tail(-1)
     except KeyError:
         print("Exception thrown")