Update app.py

app.py

@@ -285,7 +285,7 @@ def calculate_statistics(results, search_time, vector_store, num_tokens, embeddi
         "top_k": top_k,
     }
     
-    if len(results) > 1:
+    if len(results) > 1000:
         embeddings = [embedding_model.embed_query(doc.page_content) for doc in results]
         pairwise_similarities = np.inner(embeddings, embeddings)
         stats["result_diversity"] = 1 - np.mean(pairwise_similarities[np.triu_indices(len(embeddings), k=1)])