update chunking strategy

app.py

@@ -12,7 +12,7 @@ with open("knowledge.txt", "r", encoding="utf-8") as f:
     knowledge_text = f.read()
 
 # Split the text into chunks (for example, by paragraphs)
-chunks = [chunk.strip() for chunk in knowledge_text.split("\n\n") if chunk.strip()]
+chunks = [chunk.strip() for chunk in knowledge_text.split("\n") if chunk.strip()]
 
 # Load an embedding model (this one is light and fast)
 embedder = SentenceTransformer('all-MiniLM-L6-v2')