Update app.py

app.py

@@ -41,7 +41,7 @@ def secret_word() -> str:
 @tool
 def on_this_day(date: str) -> str:
     """Search for notable historical events that happened on a given date using DuckDuckGo.
-    
+
     Args:
         date: A string representing the date to search for (e.g., '27 February 1924' or '27 February').
 
@@ -56,19 +56,25 @@ def on_this_day(date: str) -> str:
         # Use DuckDuckGoSearchTool to perform the search
         search_results = DuckDuckGoSearchTool()(query)
 
-        # ✅ Store debug logs safely (without interfering with smolagents)
-        debug_log = f"DEBUG: Search results for '{query}': {search_results}"
-        with open("debug_log.txt", "a") as log_file:
-            log_file.write(debug_log + "\n")
+        # 🔍 Debugging: Print raw search results
+        print(f"DEBUG: Raw search results for '{query}': {search_results}")
+
+        # ✅ Handle unexpected string response
+        if isinstance(search_results, str):
+            return f"Error: Unexpected response format from DuckDuckGo: {search_results}"
 
-        # Check if any results were found
-        if not search_results or len(search_results) == 0:
+        # ✅ Ensure results are a list
+        if not isinstance(search_results, list) or len(search_results) == 0:
             return f"On the date {date}, nothing of note occurred."
 
-        # Extract the first search result (most relevant)
+        # Extract the first search result
         first_result = search_results[0]
 
-        # Ensure the search result contains a title and link
+        # ✅ Ensure first result is a dictionary
+        if not isinstance(first_result, dict):
+            return f"Error: Unexpected format in search results: {first_result}"
+
+        # Extract title and link
         title = first_result.get("title", "Unknown Event")
         link = first_result.get("href", "No source available")
 
@@ -79,6 +85,7 @@ def on_this_day(date: str) -> str:
 
 
 
+
 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: