.

app.py

@@ -130,7 +130,8 @@ with gr.Blocks(css="""
         
         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)
         """)
-    also_likes_graph = gr.Image('output_test.png')
+    also_likes_graph = gr.Image(value=also_like(globals()[f"data_{selected_dataset_5.value}"], t5_doc_uuid.value, t5_visitor_uuid.value,
+                                                t5_sorting.value == 'Ascending'))
 
     req_5_submit.click(fn=req_5_and_6, inputs=[t5_doc_uuid, t5_visitor_uuid, t5_sorting, selected_dataset_5], outputs=[also_likes_df, also_likes_graph])
 

cw2.py

@@ -130,10 +130,6 @@ def also_like_graph(data, doc_uuid, visitor_uuid, ascending):
     top_docs[0] = top_docs[0].str[-4:]
     top_docs[1] = top_docs[1].str[-4:]
     print(top_docs)
-    # y = top_docs[1].value_counts()
-    # y = pd.DataFrame(y)
-    # y.loc[len(y.index)] = [visitor_uuid, doc_uuid]
-    # print(y)
     dot = graphviz.Digraph()
     dot.node(visitor_uuid[-4:], visitor_uuid[-4:], stle='filled', fillcolor='green')
     dot.node(doc_uuid[-4:], doc_uuid[-4:], stle='filled', fillcolor='green')
@@ -142,16 +138,11 @@ def also_like_graph(data, doc_uuid, visitor_uuid, ascending):
         dot.node(str(row[0]), str(row[0]))
         dot.node(str(row[1]), str(row[1]))
         dot.edge(str(row[0]), str(row[1]))
-    #     # if(index <= 7):
-    #     # print(row[0], row[1])
-    #     dot.node(str(row[0]), str(row[0])[-4:])
-    #     dot.node(str(row[1]), str(row[1])[-4:])
-    #     dot.edge(str(row[0]), str(row[1]))
-    #
-    print(dot.source)
-    #
+
+    # print(dot.source)
+    
     dot.render('output.dot').replace('\\', '/')
-    #
+
     (graph,) = pydot.graph_from_dot_file('output.dot')
     graph.write_png('output.png')
     return 'output.png'