Update app.py

app.py

@@ -9,7 +9,7 @@ if not os.path.exists("qdrant_data"):
     os.makedirs("qdrant_data")
 
 # === Step 2: Load dataset ===
-data = pd.read_csv("math_dataset(2).csv")  # Ensure this CSV is present and formatted correctly
+data = pd.read_csv("math_dataset (2).csv")  # Ensure this CSV is present and formatted correctly
 
 # === Step 3: Encode questions ===
 embedding_model = SentenceTransformer("intfloat/e5-large")