Update app.py

app.py

@@ -52,6 +52,6 @@ with gr.Blocks() as demo:
         query_embedding = model.encode([query], convert_to_tensor=True)
         return perform_similarity_search(query_embedding, embeddings, space_ids, descriptions, top_k=num_results)
     
-    input.submit(search, inputs=[input, num_results], outputs=df_output)
+    input.submit(search, inputs=[input, num_results], outputs=df_output, api_name="search")
 
 demo.launch()