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 traceback

from Gradio_UI import GradioUI

@tool
def nse_stock_price_tool(stock_ticker:str)-> str: 
    """A tool that is used to retrieve the latest closing price of a stock based on the stock ticker from the Indian Stock Exchange (NSE).
    example: 'RELIANCE.NS'
    Args:
        stock_ticker: The stock ticker/symbol for the stock listed in NSE. The exact string input needs to be provided to the function.
    Returns:
        result_string: A string containing the stock_ticker along with the amount in Rupees.
        example: "RELIANCE NS: 1237.22 Rupees."
    """
    try:
        import math
        import yfinance as yf
        stock_symbol = stock_ticker
        data = yf.download(tickers=stock_symbol, period='1d', interval='1m')
        if len(data):
            latest_data = data.tail(1)
            latest_price = latest_data['Close'].values[0]   
            return (f"{stock_symbol}: {round(latest_price, 2)} Rupees.")
        else:
            return "INVALID TICKER/STOCK"
    except Exception as e:
        traceback.print_exc()
        return "INVALID REQUEST"

@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=[nse_stock_price_tool, final_answer], ## 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()