from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml import urllib.parse from tools.final_answer import FinalAnswerTool from Gradio_UI import GradioUI @tool def calculator(expression: str)-> str: # Returns a string result """ A tool able to solve mathematical expressions using the mathjs.org API. Args: expression: A mathematical expression to solve (e.g., "1+2", "3*5"). Returns: str: The result of the calculation if successful, or an error message if the request fails. """ # URL-encode to ensure correct API interpretation encoded_expression = urllib.parse.quote(expression, safe="") try: api_url = f"http://api.mathjs.org/v4/?expr={encoded_expression}" response = requests.get(api_url) if response.status_code == 200: return f"Result: {response.text}" else: return f"Error: {response.text}" except Exception as e: return f"Error: {str(e)}" @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)}" final_answer = FinalAnswerTool() model = HfApiModel( max_tokens=2096, temperature=0.5, # model_id='replace_with_your_inference_endpoint', # Replace with your inference endpoint 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=[final_answer, calculator, get_current_time_in_timezone, image_generation_tool], ## 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()