app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
import yfinance as yf

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity!
@tool
def fetch_share_price(ticker:str)-> str: # it's important to specify the return type
    # Keep this format for the tool description / args description but feel free to modify the tool
    """A tool that fetches the latest share price for a given company ticker symbol.
    Args:
        ticker: The stock ticker symbol (e.g., 'AAPL' for Apple Inc.).
    """
    try:
        # Create a Ticker object for the given symbol
        stock = yf.Ticker(ticker)
        
        # Fetch historical market data for today
        data = stock.history(period="1d")
        
        # Check if data was returned
        if data.empty:
            return f"No data found for ticker {ticker}"
        
        # Return the last available closing price
        price = data.iloc[-1]['Close']
        return f"The closing share price for {ticker} is: ${price:.2f}"
    
    except Exception as e:
        return f"Error fetching share 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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
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, fetch_share_price], # 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()