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 # 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. Args: 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 execute_python_code(code: str, timeout: int = 10) -> str: """Executes Python code and returns the output. Args: code: The Python code to execute as a string timeout: Maximum execution time in seconds (default: 10) """ import sys import io from contextlib import redirect_stdout, redirect_stderr import traceback import signal # Create string buffers for capturing output stdout_buffer = io.StringIO() stderr_buffer = io.StringIO() # Set up timeout handler def timeout_handler(signum, frame): raise TimeoutError(f"Code execution timed out after {timeout} seconds") # Store original handler to restore later original_handler = signal.signal(signal.SIGALRM, timeout_handler) result = None try: # Set alarm signal.alarm(timeout) # Create a restricted globals dictionary restricted_globals = { "__builtins__": { name: __builtins__[name] for name in [ "abs", "all", "any", "bool", "chr", "dict", "dir", "divmod", "enumerate", "filter", "float", "format", "frozenset", "hash", "hex", "int", "isinstance", "issubclass", "len", "list", "map", "max", "min", "oct", "ord", "pow", "print", "range", "repr", "reversed", "round", "set", "slice", "sorted", "str", "sum", "tuple", "type", "zip" ] } } # Add some safe modules import math import random import datetime import json import re restricted_globals["math"] = math restricted_globals["random"] = random restricted_globals["datetime"] = datetime restricted_globals["json"] = json restricted_globals["re"] = re # Execute the code with redirected output with redirect_stdout(stdout_buffer), redirect_stderr(stderr_buffer): # Execute code in a restricted environment exec_globals = {} exec(code, restricted_globals, exec_globals) # Check for a return value if the last statement is an expression lines = code.strip().split('\n') if lines and not (lines[-1].strip().startswith(('def ', 'class ', 'if ', 'for ', 'while ', 'try:', 'with '))) and \ not any(op in lines[-1] for op in ['=', '+=', '-=', '*=', '/=', '%=']): try: result = eval(lines[-1], restricted_globals, exec_globals) except: pass # Cancel the alarm signal.alarm(0) # Collect output stdout_output = stdout_buffer.getvalue() stderr_output = stderr_buffer.getvalue() # Format the response response = "" if stdout_output: response += f"Standard Output:\n{stdout_output}\n" if stderr_output: response += f"Standard Error:\n{stderr_output}\n" if result is not None: response += f"Result: {result}\n" return response.strip() or "Code executed successfully with no output." except TimeoutError as e: return f"Error: {str(e)}" except Exception as e: # Get full traceback err_traceback = traceback.format_exc() return f"Error executing code:\n{err_traceback}" finally: # Reset the alarm and restore original handler signal.alarm(0) signal.signal(signal.SIGALRM, original_handler) 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 model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', custom_role_conversions=None, ) # 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) agent = CodeAgent( model=model, tools=[get_current_time_in_timezone, final_answer, execute_python_code], ## 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 ) GradioUI(agent).launch()