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 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 get_nba_matches() -> str: """ A tool that retrieves upcoming NBA games via TheRundown API. Returns: A string containing a human-readable list of upcoming games. """ url = "https://api.apilayer.com/therundown/affiliates" # Replace with the NBA-specific endpoint if available. headers = { "apikey": "7k4hKSUeWkbigKxZiNV5CQ8RSlEd72Cj" } response = requests.get(url, headers=headers) if response.status_code == 200: events = response.json() # Suppose 'events' is a dictionary containing a list of games under the key "events" games = [] for event in events.get("events", []): # Extract relevant information: date, teams, etc. date = event.get("start_time", "Unknown date") teams = event.get("teams", "Game info not defined") games.append(f"{date} : {teams}") if games: return "\n".join(games) else: return "No NBA games found in the response." else: return f"Error retrieving NBA games: {response.status_code}" @tool def predict_nba_match(match_info: str) -> str: """ A tool that generates a prediction for an NBA match. Args: match_info: A string containing the match details in the format "TeamA vs TeamB". Returns: A string with the prediction (e.g., "The prediction is that TeamA will win."). """ import random # Assume match_info is in the format "TeamA vs TeamB" teams = match_info.split(" vs ") if len(teams) == 2: prediction = random.choice(teams) return f"The prediction is that {prediction} will win." else: return "Incorrect match_info format. Please provide teams in the format 'TeamA vs TeamB'." 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()