Update app.py

app.py

@@ -1,69 +1,75 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, InferenceClientModel, load_tool, tool
 import datetime
-import requests
 import pytz
 import yaml
 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 !
+
+# Example of a creative custom tool
 @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 
+def random_welcome_message(name: str) -> str:
+    """Greet a user with a random, cheerful message.
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        name: The name of the user to greet.
     """
-    return "What magic will you build ?"
+    import random
+    messages = [
+        f"Hey {name}, hope your day’s fantastic!",
+        f"Welcome aboard, {name}! Ready to explore?",
+        f"Good to see you, {name}! Let's create some magic!"
+    ]
+    return random.choice(messages)
+
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+    """Fetch the current time in a specified timezone.
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        timezone: Example: '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)}"
+        return f"Error fetching time for timezone '{timezone}': {e}"
 
 
+# Initialize the tools
 final_answer = FinalAnswerTool()
+search_tool = DuckDuckGoSearchTool()
+image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
 
-# 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' 
-
-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,
+# Configure model (you can swap this for any inference endpoint)
+model = InferenceClientModel(
+    max_tokens=2048,
+    temperature=0.7,
+    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)
-
+# Load agent prompt template file
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-    
+
+# Build the multi-tool agent
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[
+        final_answer,
+        search_tool,
+        image_generation_tool,
+        get_current_time_in_timezone,
+        random_welcome_message
+    ],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
-    name=None,
-    description=None,
+    name="WebSearchAssistant",
+    description="Multi-modal assistant with search, chatbot, and image generation",
     prompt_templates=prompt_templates
 )
 
-
-GradioUI(agent).launch()
+# Launch an interactive Gradio UI
+GradioUI(agent).launch()