Update app.py

app.py

@@ -8,54 +8,59 @@ from tools.final_answer import FinalAnswerTool
 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
-    #Keep this format for the description / args / args description but feel free to modify the tool
-    """A tool that does nothing yet 
-    Args:
-        arg1: the first argument
-        arg2: the second argument
-    """
-    return "What magic will you build ?"
-
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+    """Fetches the current local time in a specified timezone.
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        timezone: A valid timezone string, e.g. 'Asia/Kolkata' or '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)}"
 
+@tool
+def get_fun_fact(topic: str) -> str:
+    """Returns a fun fact about a given topic using a public API.
+    Args:
+        topic: The subject to get a fun fact about, e.g. 'math', 'science'.
+    """
+    try:
+        response = requests.get(
+            f"https://uselessfacts.jsph.pl/api/v2/facts/random?language=en",
+            timeout=5
+        )
+        data = response.json()
+        return f"Fun fact about {topic}: {data.get('text', 'No fact found.')}"
+    except Exception as e:
+        return f"Error fetching fun fact: {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' 
+ffinal_answer = FinalAnswerTool()
+search_tool = DuckDuckGoSearchTool()
+image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
-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,
+# ── Model Setup ───────────────────────────────────────────────────────────────
+model = InferenceClientModel(
+    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)
-
+# ── Load System Prompt ────────────────────────────────────────────────────────
 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,
+        search_tool,                # Web search via DuckDuckGo
+        image_generation_tool,      # Text-to-image generation
+        get_current_time_in_timezone,  # Timezone checker
+        get_fun_fact,], ## add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,