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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from bs4 import BeautifulSoup
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
# Tool to retrieve stock price from Yahoo Finance
@tool
def get_stock_price(ticker: str) -> str:
"""A tool that fetches the latest stock price for a given ticker symbol from Yahoo Finance.
Args:
ticker: A string representing the stock ticker symbol (e.g., "AAPL" for Apple).
"""
url = f"https://finance.yahoo.com/quote/{ticker}"
headers = {"User-Agent": "Mozilla/5.0"} # Avoid bot detection
response = requests.get(url, headers=headers)
if response.status_code != 200:
return f"Failed to fetch data for {ticker}"
soup = BeautifulSoup(response.text, "html.parser")
price_span = soup.find("fin-streamer", {"data-field": "regularMarketPrice"})
if price_span:
return f"The current price of {ticker} is ${price_span.text}"
return f"Could not find price for {ticker}"
@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()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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_stock_price,get_current_time_in_timezone] ## 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() |