app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import os
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI


@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)}"

@tool
def get_current_weather(city: str) -> str:
    """A tool that returns the current weather state for a specified city
    Args:
        city: A string representing a city name (e.g, 'Paris', 'New York')
    """
    try:
        geocode_url = f"https://geocoding-api.open-meteo.com/v1/search?name={city}&count=1"
        geo_response = requests.get(geocode_url)
        geo_response.raise_for_status()
        geo_data = geo_response.json()

        results = geo_data.get("results")
        if not results:
            return f"City '{city}' not found."

        lat = results[0]['latitude']
        lon = results[0]['longitude']

        forecast_url = f"https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}&current_weather=true"
        forecast_response = requests.get(forecast_url)
        forecast_response.raise_for_status()
        forecast_data = forecast_response.json()
        
        current_weather = forecast_data.get("current_weather")
        if not current_weather:
            return f"Current weather data is unavailable for {city}."
        
        temperature = current_weather.get("temperature")
        windspeed = current_weather.get("windspeed")
        winddirection = current_weather.get("winddirection")
        weathercode = current_weather.get("weathercode")
        time_value = current_weather.get("time")

        return (
            f"The current weather in {city} is as follows:\n"
            f"Temperature: {temperature}°C\n"
            f"Wind Speed: {windspeed} km/h\n"
            f"Wind Direction: {winddirection}°\n"
            f"Weather Code: {weathercode}\n"
            f"Time: {time_value}"
        )

    except Exception as e:
        return f"Error retrieving weather data: {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
#model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
model_id = 'deepseek-ai/DeepSeek-R1-Distill-Qwen-32B',
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_current_weather], ## 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()