Update app.py

app.py

@@ -1,14 +1,11 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 import datetime
 import requests
 import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
-
 from Gradio_UI import GradioUI
-
 from huggingface_hub import login
-
 import os
 
 # 从环境变量获取 Token
@@ -16,55 +13,47 @@ token = os.getenv("HUGGINGFACE_HUB_TOKEN")
 # 输入从 Hugging Face 网站获取的 API Token
 login(token)
 
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
+# 这个工具将根据输入参数返回一条自定义消息
 @tool
-def call_me_here(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
-    """A tool that does nothing yet 
+def call_me_here(name: str, count: int) -> str:
+    """返回一个问候消息。
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        name: 被称呼的名字
+        count: 一个整数计数
     """
-    return f"How do you do '{arg1}',you are calling {arg2} now!"
+    return f"Hello {name}, you are calling me {count} times now!"
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+    """获取指定时区的当前本地时间。
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        timezone: 字符串，表示有效的时区（例如，'America/New_York'）。
     """
     try:
-        # Create timezone object
         tz = pytz.timezone(timezone)
-        # Get current time in that timezone
         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)}"
 
-
 final_answer = FinalAnswerTool()
 
-# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
-# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 
-
 model = HfApiModel(
-max_tokens=2096,
-temperature=0.5,
-model_id= 'Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
-custom_role_conversions=None,
+    max_tokens=2096,
+    temperature=0.5,
+    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
+    custom_role_conversions=None,
 )
 
-
 # Import tool from Hub
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-    
+
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[final_answer, call_me_here, get_current_time_in_timezone],  # 添加 call_me_here 工具
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -74,5 +63,4 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-
 GradioUI(agent).launch()