Update app.py

app.py

@@ -1,22 +1,28 @@
-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 !
+# --- Tools ---
 @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 my_custom_tool(arg1: str, arg2: int) -> str:
+    """A tool that changes your height from metric to imperial 
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        arg1: your name
+        arg2: your height in metric system (centimeters)
     """
-    return "What magic will you build ?"
+    afeet = 30.48        # cm per foot
+    ainch = 2.54         # cm per inch
+
+    # keep your logic, just truncate feet (no decimals)
+    the_feet = int(arg2 // afeet)          # whole feet
+    remainder = arg2 - the_feet * afeet    # leftover cm
+    the_inch = remainder / ainch           # inches from leftover
+
+    return f"Height of {arg1} in imperial units: {the_feet} ft {the_inch:.2f} in"
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
@@ -25,45 +31,48 @@ def get_current_time_in_timezone(timezone: str) -> str:
         timezone: A string representing a valid timezone (e.g., '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)}"
 
-
+# --- Final answer tool required by the template ---
 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' 
-
-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 (use this on HF Spaces; it reads HF_TOKEN automatically) ---
+model = InferenceClientModel(
+    max_tokens=2096,
+    temperature=0.5,
+    model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
+    custom_role_conversions=None,
 )
 
-
-# Import tool from Hub
+# Import tool from Hub (image generation) and set up web search
 image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
+web_search_tool = DuckDuckGoSearchTool()
 
-with open("prompts.yaml", 'r') as stream:
+# Load system prompts
+with open("prompts.yaml", "r") as stream:
     prompt_templates = yaml.safe_load(stream)
-    
+
+# --- Agent: register ALL the tools here ---
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[
+        final_answer,              # do not remove
+        my_custom_tool,            # your converter
+        get_current_time_in_timezone,
+        image_generation_tool,     # HF Hub tool
+        web_search_tool,           # web search
+    ],
     max_steps=6,
     verbosity_level=1,
     grammar=None,
     planning_interval=None,
     name=None,
     description=None,
-    prompt_templates=prompt_templates
+    prompt_templates=prompt_templates,
 )
 
-
-GradioUI(agent).launch()
+GradioUI(agent).launch()