app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import os
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 compare_weather(city1: str, city2: str) -> str:
    """Compares the weather in two cities using OpenWeather API.

    Args:
        city1: The name of the first city (e.g., "London")
        city2: The name of the second city (e.g., "New York")
    """
    try:
        api_key = os.getenv("OPENWEATHER_API_KEY")
        if not api_key:
            return "Missing OpenWeather API key. Please set OPENWEATHER_API_KEY in your Space secrets."

        def fetch(city):
            url = f"https://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}&units=metric"
            res = requests.get(url)
            if res.status_code != 200:
                return f"{city.title()}: Error - {res.json().get('message', 'unknown error')}"
            data = res.json()
            return f"{city.title()}: {data['main']['temp']}°C, {data['weather'][0]['description']}"

        return f"{fetch(city1)}\n\n{fetch(city2)}"
    except Exception as e:
        return f"Error occurred: {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, compare_weather], ## 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()