Update app.py

app.py

@@ -27,38 +27,21 @@ def fetch_marathon_plan(goal_time: str) -> str:
     else:
         return f"Could not find a specific plan for {goal_time}, but you can check Runner's World for more details."
 
-# Fetch marathons in Europe for 2025
 @tool
 def fetch_european_marathons_2025() -> str:
-    """Fetches a list of marathons in Europe in 2025 from MarathonRunnersDiary."""
-    url = "http://www.marathonrunnersdiary.com/races/europe-marathons-list.php"
-    response = requests.get(url)
+    """Fetches a list of marathons in Europe for 2025.
     
-    if response.status_code != 200:
-        return "Failed to fetch marathon data."
-    
-    soup = BeautifulSoup(response.text, 'html.parser')
-    
-    # Locate the marathon table (this is based on the structure of the website)
-    marathons = []
-    table = soup.find('table', {'class': 'racedatatable'})  # Adjust the class if necessary
-    
-    if table:
-        rows = table.find_all('tr')[1:]  # Skip the header row
-        for row in rows:
-            columns = row.find_all('td')
-            if len(columns) >= 4:
-                marathon_name = columns[0].get_text(strip=True)
-                marathon_date = columns[1].get_text(strip=True)
-                marathon_location = columns[2].get_text(strip=True)
-                marathons.append(f"{marathon_name} on {marathon_date} in {marathon_location}")
+    Returns:
+        A link to a webpage or a summary of key details.
+    """
+    search_tool = DuckDuckGoSearchTool()
+    query = "marathons in Europe 2025 site:marathonrunnersdiary.com"
+    results = search_tool.search(query)
     
-    if marathons:
-        return "\n".join(marathons)
+    if results:
+        return f"Here is a list of marathons in Europe for 2025: {results[0]['url']}"
     else:
-        return "No marathons found for 2025."
-
-final_answer = FinalAnswerTool()
+        return "Could not find any marathons for 2025 in Europe, but you can check Marathon Runner's Diary for more details."
 
 # 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'