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_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)}"

@tool
def get_weather(location: str) -> str:
    """A tool that fetches current weather information for a specified location.
    Args:
        location: A string representing a city name, coordinates, or location (e.g., 'London', 'New York, NY', '40.7128,-74.0060').
    """
    try:
        # Using wttr.in API which provides weather data in a simple format
        # Adding format=j1 to get JSON response
        url = f"https://wttr.in/{location}?format=j1"
        headers = {'User-Agent': 'Mozilla/5.0'}
        
        response = requests.get(url, headers=headers, timeout=10)
        response.raise_for_status()
        
        data = response.json()
        
        # Extract relevant weather information
        current = data['current_condition'][0]
        location_info = data['nearest_area'][0]
        
        # Build weather report
        city = location_info.get('areaName', [{}])[0].get('value', location)
        country = location_info.get('country', [{}])[0].get('value', '')
        temp_c = current.get('temp_C', 'N/A')
        temp_f = current.get('temp_F', 'N/A')
        feels_like_c = current.get('FeelsLikeC', 'N/A')
        feels_like_f = current.get('FeelsLikeF', 'N/A')
        description = current.get('weatherDesc', [{}])[0].get('value', 'N/A')
        humidity = current.get('humidity', 'N/A')
        wind_speed_kmph = current.get('windspeedKmph', 'N/A')
        wind_speed_mph = current.get('windspeedMiles', 'N/A')
        wind_dir = current.get('winddir16Point', 'N/A')
        
        weather_report = f"""Weather in {city}, {country}:
Temperature: {temp_c}°C ({temp_f}°F)
Feels like: {feels_like_c}°C ({feels_like_f}°F)
Condition: {description}
Humidity: {humidity}%
Wind: {wind_speed_kmph} km/h ({wind_speed_mph} mph) {wind_dir}"""
        
        return weather_report
        
    except requests.exceptions.RequestException as e:
        return f"Error fetching weather data: Network error - {str(e)}"
    except KeyError as e:
        return f"Error parsing weather data: Missing expected data - {str(e)}"
    except Exception as e:
        return f"Error fetching weather for '{location}': {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()