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from typing import Any, Optional | |
from smolagents.tools import Tool | |
import random | |
class GenerateDestinationPreviewTool(Tool): | |
name = "generate_destination_preview" | |
description = "Generates a vibrant, artistic preview image of a travel destination." | |
inputs = {'destination': {'type': 'string', 'description': 'The travel destination to visualize (e.g., "Paris", "Tokyo", "Bali").'}} | |
output_type = "string" | |
def __init__(self, image_model=None): | |
super().__init__() | |
self.image_model = image_model # This would be your actual image generation model | |
# List of visual styles for variety | |
self.styles = [ | |
"sunrise golden hour", | |
"blue hour twilight", | |
"vibrant daytime", | |
"dramatic sunset", | |
"night lights" | |
] | |
def forward(self, destination: str) -> str: | |
try: | |
# Select a random style for variety | |
style = random.choice(self.styles) | |
# Construct a detailed prompt for the AI model | |
prompt = f"A beautiful travel photograph of {destination}, {style}, photorealistic, high-resolution, travel photography, highly detailed landmark view" | |
# If we have an actual image model, use it | |
if self.image_model: | |
try: | |
image_url = self.image_model(prompt) | |
return f"Here's a preview of {destination}: {image_url}" | |
except Exception as e: | |
return f"Error generating image of {destination}: {str(e)}" | |
# Fallback for testing (when no image model is available) | |
return f"[Image generation placeholder: {prompt}]\n\nIn a real implementation, this would generate an actual image of {destination} featuring {style} lighting." | |
except Exception as e: | |
return f"Error generating preview for {destination}: {str(e)}" | |