Update app.py

added monte_carlo_integration

app.py

@@ -1,4 +1,4 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent,DuckDuckGoSearchTool,HfApiModel,load_tool,tool
 import datetime
 import requests
 import pytz
@@ -9,14 +9,41 @@ 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 
+def monte_carlo_integration(func_expr: str, a: float, b: float, samples: int = 10000) -> str:
+    """A tool that computes the approximate definite integral of a given function between limits a and b using Monte Carlo integration.
+    
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        func_expr: A string representing a mathematical function of x (e.g., "x**2 + 3*x + 2").
+        a: The lower bound of integration.
+        b: The upper bound of integration.
+        samples: The number of random samples to use for the approximation. Defaults to 10000.
+        
+    Returns:
+        A string representing the approximate value of the integral.
     """
-    return "What magic will you build ?"
+    import random
+    import math
+
+    # Define a safe evaluation context with math functions
+    safe_dict = {k: getattr(math, k) for k in dir(math) if not k.startswith("__")}
+    
+    # Define the function to integrate safely using eval
+    def f(x):
+        try:
+            # Only allow x and math functions in the evaluation context
+            safe_dict["x"] = x
+            return eval(func_expr, {"__builtins__": {}}, safe_dict)
+        except Exception as e:
+            raise ValueError(f"Error evaluating function at x={x}: {e}")
+    
+    total = 0.0
+    for _ in range(samples):
+        x = random.uniform(a, b)
+        total += f(x)
+    
+    integral = (b - a) * total / samples
+    return f"The approximate integral of {func_expr} from {a} to {b} is {integral:.4f}"
+
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
@@ -55,7 +82,7 @@ with open("prompts.yaml", 'r') as stream:
     
 agent = CodeAgent(
     model=model,
-    tools=[final_answer, get_current_time_in_timezone, image_generation_tool], ## add your tools here (don't remove final answer)
+    tools=[final_answer, monte_carlo_integration, get_current_time_in_timezone, image_generation_tool, DuckDuckGoSearchTool()], ## add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,