tool.py

import os

from smolagents import Tool
from huggingface_hub import InferenceClient


class TextToImageTool(Tool):
    description = "This tool creates an image according to a prompt, which is a text description."
    name = "image_generator"
    inputs = {"prompt": {"type": "string", "description": "The image generator prompt. Don't hesitate to add details in the prompt to make the image look better, like 'high-res, photorealistic', etc."},
             "save_path": {"type": "string", "description": "A path in `/tmp` to save the image to."}
             }
    output_type = "image"
    model_sdxl = "black-forest-labs/FLUX.1-schnell"
    client = InferenceClient(model_sdxl, token=os.environ["HUB_TOKEN"])


    def forward(self, prompt, save_path):
        image = self.client.text_to_image(prompt)
        image.save(save_path)
        return image