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grad-dashboard.py

@@ -35,7 +35,7 @@ def retrieve_semantic_recommendation(
         category:str=None,
         tone:str =None,
         initial_top_k:int =50,
-        final_top_k:int =16,
+        final_top_k:int =24,
 )-> pd.DataFrame:
     # print("rsr")
     recs=db_books.similarity_search(query,k=initial_top_k)
@@ -105,7 +105,7 @@ with gr.Blocks(theme=gr.themes.Glass()) as dashboard:
         submit_button = gr.Button("Get Recommendations")
     
     gr.Markdown("## Recommendations")
-    output=gr.Gallery(label="Recommend books", columns=8,rows=2)
+    output=gr.Gallery(label="Recommend books", columns=8,rows=3)
 
     submit_button.click(fn=recommend_books,
                         inputs=[user_query,category_dropdown,tone_dropdown],