from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool from typing import List, Dict from smolagents import DuckDuckGoSearchTool, tool 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 search_cafes_in_germany(query: str, city: str = None, limit: int = 10) -> List[Dict]: """ A refined tool that searches for cafes or restaurants in Germany using DuckDuckGo. Args: query: Search keywords (e.g., 'vegan cafe', 'Indian restaurant'). city: Optional German city to narrow results (e.g., 'Berlin', 'Cologne'). limit: Maximum number of results to return (default 10). Returns: A list of dictionaries containing structured information about each place, e.g., [ { "name": "Cafe ABC", "address": "Some street, Berlin", "website": "https://cafeabc.de", "phone": "+49 123 456789", "rating": 4.5, "lat": 52.5200, "lon": 13.4050 }, ... ] """ # Build the final query string final_query = f"{query} in {city}" if city else query try: # Use the built-in DuckDuckGoSearchTool from smolagents results = DuckDuckGoSearchTool(query=final_query, limit=limit) # Optional: normalize fields for consistency normalized = [] for r in results: normalized.append({ "name": r.get("name"), "address": r.get("address"), "website": r.get("website"), "phone": r.get("phone"), "rating": r.get("rating"), "lat": r.get("lat"), "lon": r.get("lon"), }) return normalized except Exception as e: return [{"error": f"Search failed: {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, image_generation_tool, search_cafes_in_germany], ## 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()