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 @tool def interweave_strings(arg1: str, arg2: str) -> str: """A tool that interweaves two strings character-by-character. Args: arg1: The first input string to be interweaved with the second. arg2: The second input string to be interweaved with the first. """ # Build the interleaved string for the overlapping part. interwoven_chars = [] for ch1, ch2 in zip(arg1, arg2): interwoven_chars.append(ch1) interwoven_chars.append(ch2) # Append the remaining part of the longer string (if any). if len(arg1) > len(arg2): interwoven_chars.append(arg1[len(arg2):]) elif len(arg2) > len(arg1): interwoven_chars.append(arg2[len(arg1):]) return "".join(interwoven_chars) @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() DuckDuckGoSearchTool = DuckDuckGoSearchTool() model = HfApiModel( max_tokens=2096, temperature=0.5, model_id='Qwen/Qwen2.5-Coder-32B-Instruct', 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, get_current_time_in_timezone, interweave_strings, DuckDuckGoSearchTool, 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()