Update app.py

app.py

@@ -89,18 +89,18 @@ with demo:
     gr.Markdown(description)
     gr.Markdown(twitter_link)
     
-    slider_input = gr.Slider(minimum=3,maximum=10,value=5,step=1,label='Number of Suggestions to Generate')
+    top_k = gr.Slider(minimum=3,maximum=10,value=5,step=1,label='Number of Suggestions to Generate')
     
 
     with gr.Row():
         query = gr.Textbox(lines=3,label='Describe the Netflix show or movie you would like to watch..')
             
     with gr.Row():
-        gr.Markdown(f'''Top-{slider_input} Bi-Encoder Retrieval hits''')
+        gr.Markdown(f'''Top-{top_k} Bi-Encoder Retrieval hits''')
         bi_output = gr.DataFrame(headers=['Similarity Score','Type','Title','Country','Cast','Release Year','Rating','Duration','Category Listing','Description'])
         
     with gr.Row():
-        gr.Markdown(f'''Top-{slider_input} Cross-Encoder Re-ranker hits''')
+        gr.Markdown(f'''Top-{top_k} Cross-Encoder Re-ranker hits''')
         cross_output = gr.DataFrame(headers=['Similarity Score','Type','Title','Country','Cast','Release Year','Rating','Duration','Category Listing','Description'])
         
     with gr.Row():
@@ -110,7 +110,7 @@ with demo:
     sem_but = gr.Button('Search')
      
             
-    sem_but.click(semantic_search,inputs=[query,dataset_embeddings,img_input,slider_input],outputs=[bi_output,cross_output],queue=True)
+    sem_but.click(semantic_search,inputs=[query,dataset_embeddings,img_input,top_k],outputs=[bi_output,cross_output],queue=True)
 
     gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=nickmuchi-netflix-shows-semantic-search)")