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9b5b26a c19d193 d3b4f78 6aae614 d3b4f78 eb67010 8fe992b 9b5b26a eb67010 e552165 eb67010 702a877 9243426 702a877 89155dc 702a877 d2a6e0f 702a877 eb67010 5df72d6 9b5b26a 3d1237b 9b5b26a 8c01ffb 6aae614 ae7a494 e121372 bf6d34c 29ec968 fe328e0 13d500a 8c01ffb 9b5b26a 8c01ffb 861422e 9b5b26a 8c01ffb 8fe992b 702a877 8c01ffb 861422e 8fe992b 9b5b26a 8c01ffb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 | 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() |