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 get_sc_name(common_name:str)-> 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 fetches scientific name of a living organism. Args: common_name: A string representing a living object whose scientic name we want (e.g., 'crow', or, 'basil') Returns: sc_name: A string containing scientific name of the provided organism """ try: # Fetch the scientific name using DuckDuckGo #create an instance of DuckDuckGo tool web_tool = DuckDuckGoSearchTool() #query query = f"What is the scientific name of {common_name}?" #get result result = web_tool(query) if result and isinstance(result, list): for r in result: if "scientific name" in r.lower(): return f"The scientific name of {common_name} is: {result}." return "Could not find the scientific name. Please try a more specific name." except Exception as e: return f"Error fetching scientific name for '{common_name}':{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='deepseek-ai/DeepSeek-R1-Distill-Qwen-32B',# it is possible that this model may be overloaded 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], ## 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()