Update app.py

app.py

@@ -273,7 +273,9 @@ def search_embeddings(chunks, embedding_model, vector_store_type, search_type, q
 def calculate_statistics(results, search_time, vector_store, num_tokens, embedding_model, query, top_k):
     stats = {
         "num_results": len(results),
-        "avg_content_length": np.mean([len(doc.page_content) for doc in results]) if not results.empty else 0,
+        "avg_content_length": sum(len(doc.page_content) for doc in results) / len(results) if results else 0,
+
+#        "avg_content_length": np.mean([len(doc.page_content) for doc in results]) if not results.empty else 0,
         "search_time": search_time,
         "vector_store_size": vector_store._index.ntotal if hasattr(vector_store, '_index') else "N/A",
         "num_documents": len(vector_store.docstore._dict),