Update app.py

app.py

@@ -273,7 +273,7 @@ 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": sum(len(doc.page_content) for doc in results) / len(results) if results 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,