Update app.py

app.py

@@ -537,7 +537,7 @@ def semantic_search(query, embeddings, model, threshold=0.5):
     sims = cosine_similarity(query_embedding, embeddings)[0]
     return [(i, s) for i, s in enumerate(sims) if s > threshold]
 
-def rag_summarize(texts, summarizer, top_k=10):
+def rag_summarize(texts, summarizer, top_k=5):
     if not texts:
         return "No relevant content to summarize."
     vect = TfidfVectorizer()