app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
from smolagents.agent_types import AgentImage
import datetime
import requests
import pytz
import yaml
from PIL import Image
import os
import io
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI

# Preserving original definition with added robustness
@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)}"

# Preserving original description with fixed search handling
@tool
def travel_recommendations_for_city(city: str) -> str:
    """A tool that provides tourist recommendations for a given city.
    Args:
        city: A string representing a specific city (e.g., 'Nairobi/Johannesburg').
    """
    search = DuckDuckGoSearchTool()
    try:
        # Handle compound city names
        city = city.split('/')[0].strip()
        results = search(f"Top things to do in {city}")
        
        if not results:
            return f"Couldn't find any recommendations for {city}."
            
        # Extract content from different possible fields
        recommendations = []
        for r in results[:5]:
            content = r.get('body') or r.get('snippet') or r.get('title') or "No description available"
            recommendations.append(f"- {content}")
            
        return f"Here are some things to do in {city}:\n" + "\n".join(recommendations)
    except Exception as e:
        return f"Error fetching recommendations: {str(e)}"

# Preserving original description with enhanced image handling
@tool
def generate_travel_brochure_image(description: str) -> AgentImage:
    """A tool that generates a travel brochure image based on a description.
    Args:
        description: A string representing text to be converted into a brochure.
    """
    try:
        image_path = image_generation_tool(description)
        print(f"[DEBUG] image_generation_tool returned: {image_path}")

        # Handle different return types from image tool
        if isinstance(image_path, Image.Image):
            return AgentImage(image_path)
            
        elif isinstance(image_path, str):
            if image_path.startswith(('http://', 'https://')):
                # Download from URL
                response = requests.get(image_path, timeout=10)
                response.raise_for_status()
                return AgentImage(Image.open(io.BytesIO(response.content)))
                
            elif os.path.exists(image_path):
                return AgentImage(Image.open(image_path))
                
        raise ValueError("Image generation failed - invalid return format")
        
    except Exception as e:
        return f"Image generation error: {str(e)}"

# Load image tool with error handling
try:
    image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
except Exception as e:
    print(f"Error loading image tool: {str(e)}")
    # Fallback to stable diffusion if available
    try:
        image_generation_tool = load_tool("stabilityai/stable-diffusion")
        print("Using stable-diffusion fallback")
    except:
        raise RuntimeError("No working image generation tool available")

final_answer = FinalAnswerTool()

# Using reliable endpoint as suggested
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
    custom_role_conversions=None,
)

# Load prompts with fallback
try:
    with open("prompts.yaml", 'r') as stream:
        prompt_templates = yaml.safe_load(stream)
except Exception as e:
    print(f"Error loading prompts: {str(e)}")
    prompt_templates = {}

agent = CodeAgent(
    model=model,
    tools=[
        get_current_time_in_timezone,
        travel_recommendations_for_city,
        generate_travel_brochure_image,
        final_answer
    ],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name="travel_brochure_agent",
    description="Provides local time, travel tips, and generates a brochure image.",
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()