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
from tools.web_search import DuckDuckGoSearchTool
from tools.visit_webpage import VisitWebpageTool
import utils

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
    #Keep this format for the description / args / args description but feel free to modify the tool
    """A tool that does nothing yet 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    return "What magic will you build ?"

@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)}"

def get_geo_coordinates(city):
     # Endpoint lat e long extraction
    geocoding_url = f"https://geocoding-api.open-meteo.com/v1/search?name={city}&count=1"
    geocoding_response = requests.get(geocoding_url)
    
    if geocoding_response.status_code == 200:
        data = geocoding_response.json()
        if data['results']:
            # Estrai le coordinate della città
            latitude = data['results'][0]['latitude']
            longitude = data['results'][0]['longitude']
            return latitude, longitude
        else:
            print(f"City {city} not found.")
    else:
        print("Error on fetching geo coordinates.")

@tool
def get_weather(city: str) -> str:
    """A tool that fetches the current weather information of a specified city.
    Args:
        city: A string representing a city
    """
    latitude, longitude = get_geo_coordinates(city)           
    weather_url = f"https://api.open-meteo.com/v1/forecast?latitude={latitude}&longitude={longitude}&current_weather=true&temperature_unit=celsius"  # In Celsius
    weather_response = requests.get(weather_url)
    if weather_response.status_code == 200:
        weather_data = weather_response.json()
        unit = weather_data['current_weather_units']['temperature']
        temperature = weather_data['current_weather']['temperature']
        windspeed = weather_data['current_weather']['windspeed']
        wind_unit = weather_data['current_weather_units']['windspeed']
        weather_description = utils.get_weather_description(weather_data['current_weather']['weathercode'])
        return f"This is the weather on {city}. Temperature on {city} is {temperature}{unit}, the windspeed is {windspeed}{wind_unit} and the condition is {weather_description}"
    else:
        return "Error on fetching weather data."
        
    
        
final_answer = FinalAnswerTool()
web_search = DuckDuckGoSearchTool()
visit_webpage = VisitWebpageTool()
# 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, web_search, get_current_time_in_timezone, get_weather], ## add your tools here (don't remove final answer)
    max_steps=10,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()