bug/fix the python import error of the sample tool

docs/source/modules/tool.md

@@ -5,8 +5,7 @@
 此外，您还可以通过继承基本工具来自定义工具，并根据预定义的模式定义名称、描述和参数。您可以根据自己的需求实现`call()`。提供了一个自定义工具的示例：
 
 ```python
-from modelscope_agent.tools.base import BaseTool
-from modelscope_agent.tools import register_tool
+from modelscope_agent.tools.base import BaseTool, register_tool
 
 # 注册自定义工具名称
 @register_tool('RenewInstance')

docs/source_en/modules/tool.md

@@ -5,8 +5,7 @@ We offer a variety of multi-domain default pipeline tools integrated within Mode
 Additionally, you can customize tools by inheriting the basic ones and define the name, description, and parameters according to predefined schemas. You can implement `call()` as per your own requirements. An example of a custom tool is provided:
 
 ```python
-from modelscope_agent.tools.base import BaseTool
-from modelscope_agent.tools import register_tool
+from modelscope_agent.tools.base import BaseTool, register_tool
 
 # Register a custom tool name.
 @register_tool('RenewInstance')

examples/agents/data_science_assistant.ipynb

@@ -3,7 +3,9 @@
   {
    "metadata": {},
    "cell_type": "markdown",
-   "source": "Data Science Assistant 介绍请参考：https://github.com/modelscope/modelscope-agent/blob/master/docs/source/agents/data_science_assistant.md",
+   "source": [
+    "Data Science Assistant 介绍请参考：https://github.com/modelscope/modelscope-agent/blob/master/docs/source/agents/data_science_assistant.md"
+   ],
    "id": "6806543b7c528e4"
   },
   {
@@ -111,7 +113,9 @@
    "cell_type": "markdown",
    "id": "8c8defa3",
    "metadata": {},
-   "source": "### 构建DataScienceAssistant"
+   "source": [
+    "### 构建DataScienceAssistant"
+   ]
   },
   {
    "cell_type": "code",
@@ -154,15 +158,19 @@
   {
    "metadata": {},
    "cell_type": "markdown",
-   "source": "### 运行DataScienceAssistant",
+   "source": [
+    "### 运行DataScienceAssistant"
+   ],
    "id": "ecaf880ce9940581"
   },
   {
    "metadata": {},
    "cell_type": "code",
    "outputs": [],
    "execution_count": null,
-   "source": "data_science_assistant.run(\"This is a customers financial dataset. Your goal is to predict the value of transactions for each potential customer. The target column is target. Perform data analysis, data preprocessing, feature engineering, and modeling to predict the target. Report RMSLE on the eval data. Train data path: './dataset/08_santander-value-prediction-challenge/split_train.csv', eval data path: './dataset/08_santander-value-prediction-challenge/split_eval.csv' .\")",
+   "source": [
+    "data_science_assistant.run(\"This is a customers financial dataset. Your goal is to predict the value of transactions for each potential customer. The target column is target. Perform data analysis, data preprocessing, feature engineering, and modeling to predict the target. Report RMSLE on the eval data. Train data path: './dataset/08_santander-value-prediction-challenge/split_train.csv', eval data path: './dataset/08_santander-value-prediction-challenge/split_eval.csv' .\")"
+   ],
    "id": "fafed4d52f259f79"
   },
   {

examples/tools/local_new_tool.ipynb

@@ -201,8 +201,8 @@
    },
    "outputs": [],
    "source": [
-    "from modelscope_agent.tools.base import BaseTool\n",
-    "from modelscope_agent.tools import register_tool\n",
+    "from modelscope_agent.tools.base import BaseTool, register_tool\n",
+    "\n",
     "import requests\n",
     "import json\n",
     "\n",

examples/tools/register_new_tool.ipynb

@@ -111,8 +111,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from modelscope_agent.tools.base import BaseTool\n",
-    "from modelscope_agent.tools import register_tool\n",
+    "from modelscope_agent.tools.base import BaseTool, register_tool\n",
     "\n",
     "@register_tool('RenewInstance')\n",
     "class AliyunRenewInstanceTool(BaseTool):\n",

modelscope_agent/tools/rapidapi_tools/Modelscope/text_ie_tool.py

@@ -1,7 +1,7 @@
 from collections import defaultdict
 from typing import Union
 
-from modelscope_agent.tools import register_tool
+from modelscope_agent.tools.base import register_tool
 
 from modelscope.utils.constant import Tasks
 from .pipeline_tool import ModelscopepipelinetoolForAlphaUmi