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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
from tools.final_answer import FinalAnswerTool
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:
"""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:
tz = pytz.timezone(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)}"
@tool
def get_nasdaq_news_and_stock_price(symbol: str) -> str:
"""Fetches the latest NASDAQ stock price and news for a given stock symbol.
Args:
symbol: The stock ticker symbol (e.g., 'AAPL' for Apple).
"""
try:
# Fetch stock price
stock_url = f"https://query1.finance.yahoo.com/v8/finance/chart/{symbol}"
stock_response = requests.get(stock_url)
stock_data = stock_response.json()
stock_price = stock_data["chart"]["result"][0]["meta"]["regularMarketPrice"]
# Fetch latest news
search_tool = DuckDuckGoSearchTool()
news_results = search_tool.search(f"{symbol} NASDAQ latest news")
latest_news = news_results["results"][:3] # Get top 3 news articles
news_summary = "\n".join([f"{news['title']} - {news['href']}" for news in latest_news])
return f"Latest NASDAQ stock price for {symbol}: ${stock_price}\n\nTop news articles:\n{news_summary}"
except Exception as e:
return f"Error fetching data for {symbol}: {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:
# 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', # 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_nasdaq_news_and_stock_price], # Add NASDAQ tool here
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch()