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
import geocoder  # For location lookup
from io import BytesIO
from PIL import Image
import base64


@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:
        tz = pytz.timezone(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_location_image(timezone: str) -> str:
    """A tool that fetches an image of a location based on the provided timezone.
    Args:
        timezone: A string representing a valid timezone (e.g., 'America/New_York').
    """
    try:
        # 1. Get Location (City/Region) based on timezone
        try:
            # More robust timezone to location mapping.  Handles cases where a timezone
            # might cover multiple cities.
            g = geocoder.timezone_at(lat=None, lng=None, tz=timezone)  # No lat/lng needed
            location_name = g.city  # or g.region, or a combination
            if location_name is None:
                location_name = g.state # try state if city is not found
            if location_name is None:
                return f"Could not determine location for timezone: {timezone}"
        except Exception as e:
            return f"Error getting location: {e}"

        # 2. Search for Image (DuckDuckGo or other image search)
        try:
            search_term = f"{location_name} city" # Be specific
            image_search = DuckDuckGoSearchTool()
            image_urls = image_search(search_term, image_type="photo") #photos work best
            if not image_urls:
                return f"No images found for {location_name}"
            image_url = image_urls[0]  # Take the first result

        except Exception as e:
             return f"Error searching for image: {e}"


        # 3. Download and Encode Image
        try:
            response = requests.get(image_url, stream=True)
            response.raise_for_status()  # Check for HTTP errors

            image = Image.open(BytesIO(response.content))
            buffered = BytesIO()
            image.save(buffered, format="JPEG")  # Or PNG, depending on source
            img_str = base64.b64encode(buffered.getvalue()).decode()
            return f'<img src="data:image/jpeg;base64,{img_str}" alt="{location_name}">' # Return as HTML image tag

        except Exception as e:
            return f"Error processing image: {e}"

    except Exception as e:
        return f"An unexpected error occurred: {e}"


final_answer = FinalAnswerTool()
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    custom_role_conversions=None,
)

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, get_current_time_in_timezone, get_location_image],  # Add your new tool
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates,
)

GradioUI(agent).launch()