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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 | |
import traceback | |
import os | |
from Gradio_UI import GradioUI | |
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" | |
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)}" | |
HF_TOKEN = os.environ['HF_TOKEN'] | |
final_answer = FinalAnswerTool() | |
model = HfApiModel( | |
max_tokens=2096, | |
temperature=0.5, | |
model_id='bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF', | |
custom_role_conversions=None, | |
token=HF_TOKEN, | |
) | |
# 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() |