Update app.py

app.py

@@ -1,21 +1,13 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
-import datetime
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 import requests
-import pytz
+from bs4 import BeautifulSoup
 import yaml
 from tools.final_answer import FinalAnswerTool
-
 from Gradio_UI import GradioUI
 
 @tool
 def get_richest_people(_: str) -> str:
-    """Fetches a list of the richest people in the world from Bloomberg Billionaires Index.
-    Args:
-        _: Placeholder argument, not used.
-    """
-    import requests
-    from bs4 import BeautifulSoup
-
+    """Fetches a list of the richest people in the world from Bloomberg Billionaires Index."""
     url = "https://www.bloomberg.com/billionaires/"
     headers = {
         "User-Agent": "Mozilla/5.0"
@@ -23,6 +15,7 @@ def get_richest_people(_: str) -> str:
 
     try:
         response = requests.get(url, headers=headers)
+        response.raise_for_status()  # Raise an error for bad responses
         soup = BeautifulSoup(response.text, "html.parser")
 
         people = []
@@ -32,42 +25,35 @@ def get_richest_people(_: str) -> str:
             people.append(f"{name} - {net_worth}")
 
         if not people:
-             return "Unable to fetch data from Bloomberg at this time."
+            return "Unable to fetch data from Bloomberg at this time."
+        
         return "Top richest people in the world (Bloomberg):\n" + "\n".join(people)
 
+    except requests.RequestException as req_err:
+        return f"Network error: {str(req_err)}"
     except Exception as e:
         return f"Failed to fetch data: {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' 
+final_answer = FinalAnswerTool()
 
 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',
 )
 
-
 # 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, get_richest_people],
     max_steps=6,
     verbosity_level=1,
-    grammar=None,
-    planning_interval=None,
-    name=None,
-    description=None,
     prompt_templates=prompt_templates
 )
 
-
 GradioUI(agent).launch()