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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
@tool
def get_weather(city: str) -> dict:
"""
A tool that fetches the current weather information for a given city.
Args:
city (str): The name of the city to retrieve the weather for.
Returns:
dict: A dictionary containing temperature (°C), windspeed (km/h),
weather code, and time of the observation.
"""
import requests
# 1. Geocodificación: convertir ciudad -> lat/lon
geo_url = f"https://geocoding-api.open-meteo.com/v1/search?name={city}&count=1&language=en&format=json"
geo_response = requests.get(geo_url)
if geo_response.status_code != 200 or "results" not in geo_response.json():
return "Error: City not found"
location = geo_response.json()["results"][0]
lat, lon = location["latitude"], location["longitude"]
# 2. Obtener datos de tiempo actual
api_url = f"https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}¤t_weather=true"
response = requests.get(api_url)
if response.status_code == 200:
data = response.json()
weather = data.get("current_weather", {})
if weather:
return {
"temperature": weather.get("temperature"),
"windspeed": weather.get("windspeed"),
"weathercode": weather.get("weathercode"),
"time": weather.get("time")
}
else:
return {"Error": "No weather information available"}
else:
return {"Error": "Unable to fetch weather data."}
@tool
def multiply_integers(a: int, b: int) -> str:
"""
A tool that multiplies two integers and returns the result as a string.
Args:
a (int): The first integer.
b (int): The second integer.
Returns:
str: A string describing the multiplication result.
"""
result = a * b
return f"The result of multiplying {a} by {b} is {result}."
@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 = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# 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=[final_answer, get_weather, multiply_integers], ## 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() |