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Update app.py
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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
@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()