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_info(location: str, units: str = "metric") -> str:
    """Get current weather information for a specified location.
    
    Args:
        location: City name or location (e.g., 'New York', 'Paris, France')
        units: Unit system to use - 'metric' (Celsius) or 'imperial' (Fahrenheit)
    """
    try:
        # You'll need to sign up for a free API key at OpenWeatherMap
        api_key = "69ac97488cd2eba8412f08c011b01a74"
        base_url = "http://api.openweathermap.org/data/2.5/weather"
        
        # Set up the parameters for the API request
        params = {
            "q": location,
            "appid": api_key,
            "units": units
        }
        
        # Make the API request
        response = requests.get(base_url, params=params)
        data = response.json()
        
        if response.status_code == 200:
            # Extract relevant weather information
            weather_desc = data["weather"][0]["description"]
            temp = data["main"]["temp"]
            feels_like = data["main"]["feels_like"]
            humidity = data["main"]["humidity"]
            wind_speed = data["wind"]["speed"]
            
            # Format unit-specific values
            temp_unit = "°C" if units == "metric" else "°F"
            wind_unit = "m/s" if units == "metric" else "mph"
            
            # Return formatted weather information
            return f"Weather in {location}:\n" \
                   f"Conditions: {weather_desc.capitalize()}\n" \
                   f"Temperature: {temp}{temp_unit} (feels like {feels_like}{temp_unit})\n" \
                   f"Humidity: {humidity}%\n" \
                   f"Wind Speed: {wind_speed} {wind_unit}"
        else:
            return f"Error: Could not retrieve weather for {location}. {data.get('message', 'Unknown error')}"
    
    except Exception as e:
        return f"Error fetching weather information: {str(e)}"


@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_current_time_in_timezone, get_weather_info], ## 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()