from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool import requests from bs4 import BeautifulSoup from Gradio_UI import GradioUI # Initialize the Hugging Face web search model search_model = HfApiModel( "Intelligent-Internet/II-Search-4B", return_text=True, streaming=False # ensures the output is plain text ) @tool def get_top_sightseeing(city: str, count: int) -> str: """Searches the web for top sightseeing locations in a given city. Args: city: Name of the city. count: Number of top sightseeing locations to return. """ search_tool = DuckDuckGoSearchTool() query = f"top {count} sightseeing locations in {city}" results = search_tool.run(query) if results: return f"Top sightseeing locations in {city}:\n" + "\n".join(f"{i+1}. {r['title']}" for i, r in enumerate(results[:count])) else: return f"No sightseeing data found for {city}." @tool def my_custom_tool(city:str, season:str)-> str: # it's important to specify the return type """ Fetches the top 5 sightseeing events in a city for a given season using Hugging Face II-Search. Args: city: Name of the city (e.g., "Paris"). season: Season or time of year (e.g., "summer"). Returns: A formatted string listing the top 5 sightseeing events. """ # Query the search model response_text = search_model(f"Top 5 sightseeing events in {city} during {season}") # Split by lines to extract individual events events = response_text.split("\n") # Format output as a readable string output = f"Top 5 sightseeing events in {city} during {season}:\n" for i, event in enumerate(events[:5], start=1): output += f"{i}. {event.strip()}\n" return output @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], ## 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()