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0ed1dc6 e3f8515 9b5b26a 827f965 c19d193 6aae614 8fe992b 9b5b26a 12d30bf 827f965 32a65e0 decb3b7 89ec470 9c0968c decb3b7 827f965 decb3b7 12d30bf 3236cd6 12d30bf 827f965 e3f8515 12d30bf 32a65e0 12d30bf 89ec470 9b5b26a 8c01ffb 6aae614 ae7a494 e121372 bf6d34c 29ec968 fe328e0 13d500a 8c01ffb 9b5b26a 8c01ffb 861422e 9b5b26a 8c01ffb 8fe992b 827f965 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 | from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel,load_tool,tool
from bs4 import BeautifulSoup
import datetime
import requests
import pytz
from typing import List
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
@tool
def get_top_ranked_teams(division:str, gender:str, num_teams:int)-> List[dict]:
"""A tool that returns a list of dictionaries containing information about the top "num_teams" ranked teams for a given division and gender.
This dictionary includes the team name, their board name (i.e. the short form of their name) and their school ID.
Args:
division: A string representing the division. This can only take values from ["NCAA Division I", "NCAA Division II", "NCAA Division III].
gender: A string representing the gender. This can only take values from ["Women", "Men"].
num_teams: An integer representing the top N teams for which information will be returned.
"""
api_url = f"https://scoreboard.clippd.com/api/rankings/leaderboard?rankingType=Team&gender={gender}&division={division}&sortField=rank&season=2025&limit={num_teams}&offset=0"
headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7)',
'Content-Type': 'application/json'
}
response = requests.get(api_url, headers=headers)
if response.status_code == 200:
data = response.json()
schools = data.get("results", [{}])
school_info = []
for school in schools:
school_data = {k: school[k] for k in ["schoolName", "boardName", "schoolId", "eventsWon", "eventsTop3", "strokePlayEvents", "matchPlayEvents"] if k in school}
school_info.append(school_data)
return school_info
else:
return "Error: Unable to fetch the school information."
@tool
def get_team_results(school_id: str) -> dict:
"""A tool that returns a dictionary of event results for a team using their school ID.
Args:
school_id: A string representing the school's ID.
"""
# Target URL with dynamic school_id
url = f"https://scoreboard.clippd.com/teams/{school_id}?season=2025"
# Headers to mimic a browser request
headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7)',
}
# Dictionary to store extracted data
golf_data = {}
# Fetch the raw HTML
response = requests.get(url, headers=headers)
if response.status_code != 200:
print(f"Failed to retrieve page. Status code: {response.status_code}")
return golf_data
# Parse HTML content
soup = BeautifulSoup(response.text, "html.parser")
# Find the specific table
table = soup.find("table", {
"class": "w-full table-auto",
"data-sentry-component": "InnerTable"
})
if not table:
print("No table found on the page")
return golf_data
# Find all table rows inside tbody
table_rows = table.select("tbody tr")
for row in table_rows:
# Extract Event Name
event_name_tag = row.select_one("td a div div span")
event_name = event_name_tag.get_text(strip=True) if event_name_tag else ""
# Extract Position
position_tag = row.select_one("td:nth-of-type(2) p")
position = position_tag.get_text(strip=True) if position_tag else ""
# Extract Score
score_tag = row.select_one("td:nth-of-type(3) div div")
score = score_tag.get_text(strip=True) if score_tag else ""
# Append extracted data to dictionary
if event_name and position and score:
golf_data[event_name] = {"Position": position, "Score": score}
return golf_data
@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_top_ranked_teams, get_team_results], ## 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() |