app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import pandas as pd
from typing import List
from nba_api.stats.static import players
from nba_api.stats.endpoints import leaguegamefinder,playbyplayv3
from tools.final_answer import FinalAnswerTool
from tools.web_search import DuckDuckGoSearchTool


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_player_id(player_name:str) -> int:
    """A tool that fetches the player ID based on the player name.
    Args:
        player_name: The full name of the player.
    Returns:
        The player ID as an integer.
    """
    try:
        player_id = players.find_player_by_id(player_name)
        return f"Player ID for {player_name} is: {player_id}"
    except Exception as e:
        return f"Error fetching player ID for '{player_name}': {str(e)}"
    
@tool
def get_playergame(player_id:int) -> List[str]:
    """A tool that fetches the game where a specific player played.
    Args:
        player_id: The ID of the player
    Returns:
        A list of gameids where the player played.
    """
    try:
        found_games = leaguegamefinder.LeagueGameFinder(player_id_nullable=player_id)
        found_game_ids = found_games.get_data_frames()[0]["GAME_ID"].values.tolist()
        return found_game_ids
    except Exception as e:
        return f"Error fecthing games for player ID '{player_id}': {str(e)}"

@tool
def get_player_games_data(game_ids:List[str]) -> List[pd.DataFrame]:
    """ A tool that fetches the play-by-play data for each games that a specific player played.
    Args:
        game_ids: A list of game IDs
    Returns:
        A list of dataframes containing play-by-play data for each game where a player played in it.
    """
    try:
        game_data = []
        for game_id in game_ids:
            play_by_play = playbyplayv3.PlayByPlayV3(game_id=game_id).get_data_frames()[0]
            game_data.append(play_by_play)
        return game_data
    except Exception as e:
        return f"Error fetching play-by-play data for game IDs '{game_ids}': {str(e)}" 

@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)}"

web_search = DuckDuckGoSearchTool(max_results=2)
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=[web_search, image_generation_tool, get_player_id, 
           get_playergame, get_player_games_data, 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()