diff --git a/expo/README.md b/expo/README.md
index 0d47ab3e4..55ea7eed4 100644
--- a/expo/README.md
+++ b/expo/README.md
@@ -169,38 +169,8 @@ #### Run
 运行下面脚本获取运行结果，在当前目录下将生成一个 log 文件夹以及 workspace 文件夹
 log 文件夹中将包含实验使用配置以及生成方案记录，workspace 文件夹下将保存 aide 最后生成的结果文件
 
-```python
-import aide
-import os
-import time
-
-os.environ["OPENAI_API_KEY"] = "sk-xxx"
-os.environ["OPENAI_BASE_URL"] = "your url"
-start_time = time.time()
-data_dir = "xxx/data/titanic"
-goal = f"""
-# User requirement
-({data_dir}, 'This is a 04_titanic dataset. Your goal is to predict the target column `Survived`.\nPerform data analysis, data preprocessing, feature engineering, and modeling to predict the target. \nReport f1 on the eval data. Do not plot or make any visualizations.\n')
-
-# Data dir
-training (with labels): train.csv
-testing (without labels): test.csv
-dataset description: dataset_info.json (You can use this file to get additional information about the dataset)"""
-
-exp = aide.Experiment(
-    data_dir=data_dir,  # replace this with your own directory
-    goal=goal,
-    eval="f1",  # replace with your own evaluation metric
-)
-
-best_solution = exp.run(steps=10)
-
-print(f"Best solution has validation metric: {best_solution.valid_metric}")
-print(f"Best solution code: {best_solution.code}")
-end_time = time.time()
-execution_time = end_time - start_time
-
-print(f"run time : {execution_time} seconds")
+```
+python experimenter/aide.py
 ```
 
 ### Autogluon
diff --git a/expo/experimenter/aide.py b/expo/experimenter/aide.py
new file mode 100644
index 000000000..fb71dbdab
--- /dev/null
+++ b/expo/experimenter/aide.py
@@ -0,0 +1,31 @@
+import aide
+import os
+import time
+
+os.environ["OPENAI_API_KEY"] = "sk-xxx"
+os.environ["OPENAI_BASE_URL"] = "your url"
+start_time = time.time()
+data_dir = "xxx/data/titanic"
+goal = f"""
+# User requirement
+({data_dir}, 'This is a 04_titanic dataset. Your goal is to predict the target column `Survived`.\nPerform data analysis, data preprocessing, feature engineering, and modeling to predict the target. \nReport f1 on the eval data. Do not plot or make any visualizations.\n')
+
+# Data dir
+training (with labels): train.csv
+testing (without labels): test.csv
+dataset description: dataset_info.json (You can use this file to get additional information about the dataset)"""
+
+exp = aide.Experiment(
+    data_dir=data_dir,  # replace this with your own directory
+    goal=goal,
+    eval="f1",  # replace with your own evaluation metric
+)
+
+best_solution = exp.run(steps=10)
+
+print(f"Best solution has validation metric: {best_solution.valid_metric}")
+print(f"Best solution code: {best_solution.code}")
+end_time = time.time()
+execution_time = end_time - start_time
+
+print(f"run time : {execution_time} seconds")
\ No newline at end of file