Update app.py

app.py

@@ -1,16 +1,20 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+# 导入所需的模块和工具类
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
+# 导入日期时间处理模块
 import datetime
+# 导入网络请求模块
 import requests
+# 导入时区处理模块
 import pytz
+# 导入YAML配置文件处理模块
 import yaml
+# 导入最终答案工具类
 from tools.final_answer import FinalAnswerTool
-
+# 导入Gradio用户界面类
 from Gradio_UI import GradioUI
 
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
-@tool
-def my_cutom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
-    #Keep this format for the description / args / args description but feel free to modify the tool
+# 定义一个自定义工具函数，接收两个参数并返回字符串
+def my_custom_tool(arg1:str, arg2:int)-> str:
     """A tool that does nothing yet 
     Args:
         arg1: the first argument
@@ -18,48 +22,51 @@ def my_cutom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return
     """
     return "What magic will you build ?"
 
-@tool
+# 定义一个获取指定时区当前时间的工具函数
 def get_current_time_in_timezone(timezone: str) -> str:
     """A tool that fetches the current local time in a specified timezone.
     Args:
         timezone: A string representing a valid timezone (e.g., 'America/New_York').
     """
     try:
-        # Create timezone object
+        # 创建时区对象
         tz = pytz.timezone(timezone)
-        # Get current time in that timezone
+        # 获取该时区的当前时间并格式化
         local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
         return f"The current local time in {timezone} is: {local_time}"
     except Exception as e:
         return f"Error fetching time for timezone '{timezone}': {str(e)}"
 
-
+# 创建最终答案工具实例
 final_answer = FinalAnswerTool()
+
+# 配置AI模型参数
 model = HfApiModel(
-max_tokens=2096,
-temperature=0.5,
-model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',# it is possible that this model may be overloaded
-custom_role_conversions=None,
+    max_tokens=2096,        # 设置最大令牌数
+    temperature=0.5,        # 设置温度参数
+    model_id='meta-llama/Meta-Llama-3-8B-Instruct',  # 设置模型ID
+    custom_role_conversions=None,   # 设置自定义角色转换
 )
 
-
-# Import tool from Hub
+# 从Hub加载图像生成工具
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
+# 读取YAML格式的提示模板文件
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
     
+# 创建代码智能体实例
 agent = CodeAgent(
-    model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
-    max_steps=6,
-    verbosity_level=1,
-    grammar=None,
-    planning_interval=None,
-    name=None,
-    description=None,
-    prompt_templates=prompt_templates
+    model=model,            # 设置使用的模型
+    tools=[final_answer],   # 设置要使用的工具列表
+    max_steps=6,           # 设置最大步骤数
+    verbosity_level=1,     # 设置详细程度级别
+    grammar=None,          # 设置语法规则
+    planning_interval=None, # 设置规划间隔
+    name=None,             # 设置名称
+    description=None,      # 设置描述
+    prompt_templates=prompt_templates  # 设置提示模板
 )
 
-
+# 启动Gradio用户界面
 GradioUI(agent).launch()