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
import os
# Access the token from environment variables
#hf_token = os.environ.get("HF_TOKEN")

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
# ok my tool gets weather for $city
from dotenv import load_dotenv
import os

# Load environment variables from .env file
load_dotenv()

# Access environment variables
weather_key = os.getenv("WEATHER_APIKEY")

@tool
#Keep this format for the description / args / args description but feel free to modify
#it's import to specify the return type
#(arg1:str, arg2:int)-> str: 
#     the tool
#   """A tool that does nothing yet 
#    Args:
#        arg1: the first argument
#        arg2: the second argument
#    """
#    return "What magic will you build ?"
def my_custom_get_weather_info(location: str, units: str = "metric") -> str:
    """A tool that fetches current weather information for a specified location.
    Args:
        location: City name or location (e.g., 'New York', 'London,UK')
        units: Temperature unit system - 'metric' (Celsius) or 'imperial' (Fahrenheit)
    """
    try:
        # You'd need to sign up for a free API key at OpenWeatherMap or similar service
        api_key = weather_key  # Replace with your actual API key
        base_url = "http://api.weatherapi.com/v1"
        
        params = {
            "q": location,
            "appid": api_key,
            "units": units
        }
        
        response = requests.get(base_url, params=params)
        data = response.json()
        
        if response.status_code == 200:
            temp = data["main"]["temp"]
            description = data["weather"][0]["description"]
            humidity = data["main"]["humidity"]
            wind_speed = data["wind"]["speed"]
            
            unit_symbol = "°C" if units == "metric" else "°F"
            
            return f"Weather in {location}: {description}, Temperature: {temp}{unit_symbol}, Humidity: {humidity}%, Wind speed: {wind_speed} {'m/s' if units == 'metric' else 'mph'}"
        else:
            return f"Error getting weather data: {data.get('message', 'Unknown error')}"
    except Exception as e:
        return f"Failed to retrieve 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='microsoft/Phi-4-mini-instruct',
#not needed if secret added HF_TOKEN and then just api keyy is value api_token=os.environ.get("HF_TOKEN"),
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=[
        my_custom_get_weather_info, 
        get_current_time_in_timezone, 
        image_generation_tool, 
        final_answer
    ],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()