add spam topic check

app.py

@@ -13,7 +13,7 @@ from Gradio_UI import GradioUI
 
 # Below is an example of a tool that does nothing. Amaze us with your creativity !
 @tool
-def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
+def text_analyse_for_spam(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 
     Args:
@@ -22,6 +22,33 @@ def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return
     """
     return "What magic will you build ?"
 
+@tool
+def text_analyse_for_spam(text: str, dummy: int) -> str:
+    """
+    Analyzes the text for sensitive topics.
+    
+    Args:
+        text: The text to analyze.
+        dummy: An unused parameter (kept for compatibility).
+        
+    Returns:
+        A string indicating which sensitive topics were detected, if any.
+    """
+    # Convert text to lowercase for case-insensitive matching.
+    text_lower = text.lower()
+    
+    # List of sensitive topics to check for.
+    sensitive_topics = ["casino", "info scam", "sick relative"]
+    
+    # Identify any topics present in the text.
+    detected_topics = [topic for topic in sensitive_topics if topic in text_lower]
+    
+    if detected_topics:
+        return f"Detected topics: {', '.join(detected_topics)}."
+    else:
+        return "No sensitive topics detected."
+
+
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
     """A tool that fetches the current local time in a specified timezone.
@@ -62,7 +89,7 @@ with open("prompts.yaml", 'r') as stream:
     
 agent = CodeAgent(
     model=model,
-    tools=[final_answer, get_current_time_in_timezone, web_searh, visit_website], ## add your tools here (don't remove final answer)
+    tools=[final_answer, get_current_time_in_timezone, web_searh, visit_website, text_analyse_for_spam], ## add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,