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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 | |
# Herramienta personalizada de ejemplo | |
def my_cutom_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?" | |
# Herramienta para obtener la hora actual en una zona horaria específica | |
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: | |
# Crear objeto de zona horaria | |
tz = pytz.timezone(timezone) | |
# Obtener la hora actual en esa zona horaria | |
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)}" | |
# Herramienta para obtener el clima actual de una ciudad | |
def get_current_weather(city: str, api_key: str) -> str: | |
"""A tool that fetches the current weather for a specified city. | |
Args: | |
city: The name of the city to fetch the weather for. | |
api_key: The API key for OpenWeatherMap. | |
""" | |
base_url = "http://api.openweathermap.org/data/2.5/weather?" | |
complete_url = f"{base_url}q={city}&appid={api_key}&units=metric" | |
try: | |
response = requests.get(complete_url) | |
data = response.json() | |
if data["cod"] != "404": | |
main = data["main"] | |
temperature = main["temp"] | |
humidity = main["humidity"] | |
weather_description = data["weather"][0]["description"] | |
return f"The current temperature in {city} is {temperature}°C with {weather_description}. Humidity is {humidity}%." | |
else: | |
return f"City {city} not found." | |
except Exception as e: | |
return f"Error fetching weather data: {str(e)}" | |
# Herramienta de respuesta final | |
final_answer = FinalAnswerTool() | |
# Configuración del modelo | |
model = HfApiModel( | |
max_tokens=2096, | |
temperature=0.5, | |
model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud', # Puede estar sobrecargado | |
custom_role_conversions=None, | |
) | |
# Cargar herramienta de generación de imágenes desde el Hub | |
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) | |
# Cargar plantillas de prompts desde un archivo YAML | |
with open("prompts.yaml", 'r') as stream: | |
prompt_templates = yaml.safe_load(stream) | |
# Crear instancias de las herramientas | |
search_tool = DuckDuckGoSearchTool() | |
weather_tool = get_current_weather | |
# Configurar el agente con las herramientas | |
agent = CodeAgent( | |
model=model, | |
tools=[final_answer, search_tool, weather_tool, get_current_time_in_timezone], # Agregar herramientas aquí | |
max_steps=6, | |
verbosity_level=1, | |
grammar=None, | |
planning_interval=None, | |
name=None, | |
description=None, | |
prompt_templates=prompt_templates | |
) | |
# Lanzar la interfaz de Gradio | |
GradioUI(agent).launch() |