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 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_weather_in_location(location: str) -> str:
    """A tool that fetches the current weather in a specified location.
    Args:
        location: A string representing a actual city or a place (e.g., 'New York').
    """
    geocode_url = "https://nominatim.openstreetmap.org/search"
    geo_params = {
        "q": location,
        "format": "json",
        "limit": 1
    }

    headers = {"User-Agent": "weather-tool/1.0"}
    
    geo_response = requests.get(
        geocode_url,
        params=geo_params,
        headers=headers
    )

    geo_data = geo_response.json()

    if not geo_data:
        return f"Could not find location: '{location}'"

    lat = geo_data[0]["lat"]
    lon = geo_data[0]["lon"]
    display_name = geo_data[0]["display_name"]

    # get weather info
    weather_url = "https://api.open-meteo.com/v1/forecast"
    weather_params = {
        "latitude": lat,
        "longitude": lon,
        "current_weather": True,
        "hourly": "relative_humidity_2m,apparent_temperature",
        "forecast_days": 1
    }
    weather_response = requests.get(weather_url, params=weather_params)
    weather_data = weather_response.json()

    print(weather_data)

    current = weather_data["current_weather"]
    temp = current["temperature"]
    windspeed = current["windspeed"]
    weathercode = current["weathercode"]

    weather_descriptions = {
        0: "Clear sky", 1: "Mainly clear", 2: "Partly cloudy", 3: "Overcast",
        45: "Fog", 48: "Icy fog",
        51: "Light drizzle", 53: "Moderate drizzle", 55: "Dense drizzle",
        61: "Slight rain", 63: "Moderate rain", 65: "Heavy rain",
        71: "Slight snow", 73: "Moderate snow", 75: "Heavy snow",
        80: "Slight showers", 81: "Moderate showers", 82: "Violent showers",
        95: "Thunderstorm", 96: "Thunderstorm with hail"
    }
    description = weather_descriptions.get(weathercode, f"Weather code {weathercode}")

    return (
        f"Weather in {display_name}:\n"
        f"  Condition   : {description}\n"
        f"  Temperature : {temp}°C\n"
        f"  Wind Speed  : {windspeed} km/h"
    )    

@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_in_location], ## 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()