app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
from meteostat import Stations, Daily
import datetime
import requests
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 World_temperature(lat: float, lon: float) -> str:
    """Fetches the current temperature in a specified location using latitude & longitude.
    
    Args:
        lat: Latitude of the location (e.g., 51.51 for London).
        lon: Longitude of the location (e.g., -0.13 for London).
    
    Returns:
        A string with the current temperature.
    """
    try:
        # Get nearest weather station
        stations = Stations().nearby(lat, lon).fetch(1)
        station_id = stations.index[0]  

        # Get today's weather data
        today = datetime.datetime.today()
        data = Daily(station_id, today, today).fetch()

        if not data.empty:
            temp = data["tavg"].iloc[0]  # Get average temperature
            return f"The current temperature at ({lat}, {lon}) is {temp}°C."
        else:
            return "No temperature data available for this location."

    except Exception as e:
        return f"Error fetching temperature: {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], ## 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()