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 search_tool(query:str, num_results:int = 3)-> 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 """searches the web using DuckDuckGo and return relevant results Args: query: The search query string num_results: Number of results to return """ try: #initialize search = DuckDuckGoSearchTool() #perform the search results = search.search(query,num_results = num_results) #format the results formatted_results = [] output = f"🔍 DuckDuckGo Search Results for query: '{query}'\n" output += f"Number of results requested: {num_results}\n" output += "----------------------------------------\n\n" for i, result in enumerate(results,1): formatted_results.append( f"{i}. Title: {result['title']}\n" f" snippet: {result['snippet']}\n" f" URL:{result['link']}\n" ) #combine results into a single string if formatted_results: return "search Results:\n\n" + "\n".join(formatted_results) else: return "no results found for the given query." except Exception as e: return f"error performing search: {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() # 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 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, search_tool, get_current_time_in_timezone], max_steps=6, verbosity_level=1, grammar=None, planning_interval=None, name=None, description=None, prompt_templates=prompt_templates ) GradioUI(agent).launch()