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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
import yfinance as yf
import time
@tool
def busqueda_valor_accion(company_ticker: str) -> str:
"""A tool that looks up the value of stocks within yahoo, this requires the Symbol of the specific company (Amazon example would be AMZN).
Args:
company_ticker:str Symbol of the company you want to query to perform the stock search.
Example use:
busqueda_valor_accion(company_ticker="AMZN")
"""
try:
stock = yf.Ticker(company_ticker)
stock_info = stock.info
if not stock_info:
return "No se encontraron datos para el ticker proporcionado."
longname = stock_info.get("longName", "N/A")
exchange = stock_info.get("exchange", "N/A")
currency = stock_info.get("currency", "USD")
stock_price = stock.history(period="1d")["Close"].iloc[-1]
return f"""
Nombre: {longname}
Símbolo (Ticker): {company_ticker}
Mercado: {exchange}
Precio de la acción: {round(stock_price,3)} {currency}
"""
except Exception as e:
time.sleep(20)
return f"Error al obtener la información de la acción: {e}"
@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()
# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
# model_id = 'Qwen/Qwen2.5-Coder-32B-Instruct'
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id=model_id,# it is possible that 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=[busqueda_valor_accion, get_current_time_in_timezone, 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() |