Update app.py

app.py

@@ -1,11 +1,23 @@
-from smolagents import CodeAgent, DuckDuckGoSearchTool, load_tool, tool
+from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
 import datetime
+import requests
 import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
+
 from Gradio_UI import GradioUI
 
-# ==================== YOUR TOOLS ====================
+# 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.
@@ -13,89 +25,45 @@ 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)}"
 
-@tool
-def calculate_tip(bill_amount: float, tip_percent: float) -> str:
-    """Calculate tip amount for a restaurant bill.
-    Args:
-        bill_amount: Total bill amount in dollars
-        tip_percent: Tip percentage (e.g., 15 for 15%)
-    """
-    try:
-        tip = bill_amount * (tip_percent / 100)
-        total = bill_amount + tip
-        return f"💰 Tip: ${tip:.2f}, Total: ${total:.2f} ({tip_percent}%)"
-    except Exception as e:
-        return f"Error: {str(e)}"
 
-@tool
-def word_counter(text: str) -> str:
-    """Count words and characters in text.
-    Args:
-        text: The text to analyze
-    """
-    try:
-        words = len(text.split())
-        chars = len(text)
-        return f"📝 Words: {words}, Characters: {chars}"
-    except Exception as e:
-        return f"Error: {str(e)}"
-
-# ==================== AGENT SETUP ====================
 final_answer = FinalAnswerTool()
 
-# Load image generation tool
-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' 
 
-# ⚠️ FIX: ADD THE MISSING MODEL SETUP
-# Try different model import approaches:
+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,
+)
 
-# OPTION 1: Use HfApiModel (common in spaces)
-try:
-    from smolagents import HfApiModel
-    model = HfApiModel(
-        model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
-        max_tokens=512,
-        temperature=0.5
-    )
-except ImportError:
-    # OPTION 2: Use InferenceClientModel with correct import path
-    try:
-        from smolagents.models import InferenceClientModel
-        model = InferenceClientModel(
-            model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
-            max_tokens=512,
-            temperature=0.5
-        )
-    except ImportError:
-        # OPTION 3: Use default model
-        from smolagents.models import DefaultModel
-        model = DefaultModel()
 
-# Load system prompt
+# Import tool from Hub
+image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
+
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
-
-# ==================== CREATE AGENT ====================
+    
 agent = CodeAgent(
-    model=model,  # ⚠️ THIS WAS MISSING!
-    tools=[
-        final_answer,
-        DuckDuckGoSearchTool(),
-        image_generation_tool,
-        get_current_time_in_timezone,
-        calculate_tip,
-        word_counter
-    ],
-    max_steps=8,
+    model=model,
+    tools=[final_answer], ## add your tools here (don't remove final answer)
+    max_steps=6,
     verbosity_level=1,
+    grammar=None,
+    planning_interval=None,
+    name=None,
+    description=None,
     prompt_templates=prompt_templates
 )
 
-# ==================== LAUNCH ====================
+
 GradioUI(agent).launch()