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

@tool
def get_weather(city: str) -> str:
    """A tool that fetches the current weather for a city.
    Args:
        city: A string representing a city (e.g., 'Paris','Roma')
    """
    # Fix: Use the requests.get() method properly and handle the response
    url = f"http://api.weatherapi.com/v1/current.json?key=65b5427878074cd4bba163957250503&q={city}&aqi=no"
    
    try:
        response = requests.get(url)  # Fixed: Changed requests() to requests.get()
        response.raise_for_status()  # Raise an exception for HTTP errors
        
        weather_data = response.json()
        
        # Format the weather data in a more readable way
        location = weather_data['location']
        current = weather_data['current']
        
        result = {
            "location": {
                "name": location['name'],
                "region": location['region'],
                "country": location['country'],
                "localtime": location['localtime']
            },
            "current": {
                "temp_c": current['temp_c'],
                "temp_f": current['temp_f'],
                "condition": current['condition']['text'],
                "wind_kph": current['wind_kph'],
                "wind_dir": current['wind_dir'],
                "humidity": current['humidity'],
                "feelslike_c": current['feelslike_c'],
                "uv": current['uv']
            }
        }
        
        # Return the formatted data as a string
        return f"""Weather in {result['location']['name']}, {result['location']['country']}:
- Temperature: {result['current']['temp_c']}°C ({result['current']['temp_f']}°F)
- Feels like: {result['current']['feelslike_c']}°C
- Condition: {result['current']['condition']}
- Wind: {result['current']['wind_kph']} kph, {result['current']['wind_dir']}
- Humidity: {result['current']['humidity']}%
- UV Index: {result['current']['uv']}
- Local time: {result['location']['localtime']}"""
    
    except requests.exceptions.RequestException as e:
        return f"Error fetching weather data: {str(e)}"

@tool
def get_weather_image(city: str, weather_description: str) -> str:
    """A tool that generates an image of the weather in a city.
    Args:
        city: A string representing a city (e.g., 'Paris','Roma')
        weather_description: A string describing the current weather conditions
    """
    try:
        # Create a descriptive prompt for the image generation
        time_of_day = "daytime"  # This could be improved by checking actual local time
        prompt = f"A photorealistic view of {city} during {time_of_day} with {weather_description} weather conditions. Beautiful high-quality image showing the current weather."
        
        # Return the prompt that will be used with the image generation tool
        return prompt
    except Exception as e:
        return f"Error preparing weather image prompt: {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()

# Load the image generation tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

# Set up the model
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,
)

# Load prompt templates
with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)

# Create the agent with all tools
agent = CodeAgent(
    model=model,
    tools=[
        get_weather,
        get_weather_image,
        get_current_time_in_timezone,
        image_generation_tool,
        final_answer
    ],  # Added your custom tools here
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

# Launch the Gradio UI
GradioUI(agent).launch()