from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml import pandas as pd from tools.final_answer import FinalAnswerTool # from nba_api.stats.static import players # from nba_api.stats.endpoints import commonplayerinfo from Gradio_UI import GradioUI def get_player(name): player = players.find_players_by_full_name(name) if player: return player[0] return None @tool def get_player_info(player_name:str)-> dict: """ A tool that gets details about an NBA player using the NBA API. the details that are returned in the dictionary are: Name, Height, Weight, Birth Date, College, Country, Draft Year, Draft Round, Draft Number, Years Pro, Current Team Args: player_name: the full name of the NBA player (e.g. Kobe Bryant) """ # Fetch player bio details player_id = get_player(player_name)['id'] player_info = commonplayerinfo.CommonPlayerInfo(player_id=player_id) data = player_info.get_dict() info = data['resultSets'][0]['rowSet'][0] # The first (and only) row # Dictionary mapping for extracted values player_details = { "Name": info[3], # Full name "Height": info[11], # Height in feet-inches "Weight": info[12], # Weight in pounds "Birth Date": info[7].split('T')[0], # Date of birth "College": info[8], # College name "Country": info[9], # Country of birth "Draft Year": info[29], # Year drafted "Draft Round": info[30], # Draft round "Draft Number": info[31], # Pick number "Years Pro": info[13], # Years in the NBA "Team": info[20] if info[20] != '' else 'NA' # Current team } return player_details @tool def get_songs_by_artist(artist_name:str)-> list: """ A tool that gets a name of an artist, read a file with song details and return all the artist's songs according to the file. Args: artist_name: the name of the artist """ df = pd.read_csv('spotify-2023.csv', encoding='latin1') artist_name = artist_name.lower() df['artist(s)_name'] = df['artist(s)_name'].str.lower() songs = df[df.apply(lambda row: artist_name in row['artist(s)_name'].lower(), axis=1)]['track_name'].tolist() return songs # 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)}" 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, get_current_time_in_timezone, get_songs_by_artist], ## 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()