app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import openmeteo_requests
import requests_cache
from retry_requests import retry
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

# Set up the Open-Meteo API client with caching and retry logic
cache_session = requests_cache.CachedSession('.cache', expire_after=3600)
retry_session = retry(cache_session, retries=5, backoff_factor=0.2)
openmeteo = openmeteo_requests.Client(session=retry_session)

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def  get_weather(lat: float, lon: float) -> 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 fetches the current weather information for given latitude and longitude.
    Args:
        lat: Latitude of the location.
        lon: Longitude of the location.
    """
    url = "https://api.open-meteo.com/v1/forecast"
    params = {
        "latitude": lat,
        "longitude": lon,
        "hourly": ["temperature_2m", "wind_speed_10m", "weather_code", "relative_humidity_2m"],
        "timezone": "auto"
    }
    try:
        # Make the API call to fetch weather data
        responses = openmeteo.weather_api(url, params=params)
        response = responses[0]
        # Extract and format relevant data
        temperature = response.hourly['temperature_2m'][0]  # Example: temperature at the first hour
        wind_speed = response.hourly['wind_speed_10m'][0]
        weather_code = response.hourly['weather_code'][0]
        humidity = response.hourly['relative_humidity_2m'][0]
        
        weather_report = (
            f"Current weather:\n"
            f"Temperature: {temperature}°C\n"
            f"Wind Speed: {wind_speed} km/h\n"
            f"Weather Code: {weather_code}\n"
            f"Humidity: {humidity}%"
        )
        return weather_report
    except Exception as e:
        return f"Error fetching weather data: {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_weather, get_current_time_in_timezone, image_generation_tool], ## 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()