Update app2.py

app2.py

@@ -113,4 +113,15 @@ def fit(model, train_data, epochs, batch_size, validation_data):
     Custom training loop for the CustomModel.
 
     Args:
-        model: The Custom
+        model: The Custom
+        
+def predict_stock_codes(data_df):
+    # Scale the data using MinMaxScaler
+    scaler = MinMaxScaler()
+    data_df[['open', 'high', 'low', 'close', 'volume']] = scaler.fit_transform(data_df[['open', 'high', 'low', 'close', 'volume']])
+
+    #... (rest of the code to predict stock codes)
+
+    return top_5_stocks
+        
+