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 get_tunisia_weather() -> dict:
    """Fetches the current weather for all major cities in Tunisia."""
    import requests

    cities = ["Tunis", "Sfax", "Sousse", "Gabès", "Bizerte", "Nabeul", "Kairouan", "Gafsa", "Monastir", "Mahdia"]
    api_key = "YOUR_API_KEY" 
    base_url = "http://api.openweathermap.org/data/2.5/weather"

    weather_data = {}
    
    for city in cities:
        response = requests.get(base_url, params={"q": city + ",TN", "appid": api_key, "units": "metric"})
        if response.status_code == 200:
            data = response.json()
            weather_data[city] = {
                "temperature": data["main"]["temp"],
                "humidity": data["main"]["humidity"],
                "weather": data["weather"][0]["description"]
            }
        else:
            weather_data[city] = "Weather data unavailable"
    
    return weather_data


@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()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
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], ## 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()