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| 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 | |
| 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 | |
| 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 ! | |
| 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 ?" | |
| 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() |