import os

from smolagents import Tool
from huggingface_hub import InferenceClient

SAVE_PATH = "/tmp/generated_image.png"

class TextToImageTool(Tool):
    # description = "This tool creates an image according to a prompt, which is a text description. When using this tool in a code snippet, the last line of the snippet should be the the tool call (so the image is shown on screen)."
    description = f"This tool creates an image according to a prompt, which is a text description. For displaying the image, use the returned PIL object. This tool saves the image to `{SAVE_PATH}`, so there is no need to save it externally."
    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 file path in `/tmp` to save the image to. The file path extenstion should be .png", "nullable": True}
             }
    output_type = "image"
    model_sdxl = "black-forest-labs/FLUX.1-schnell"
    client = InferenceClient(model_sdxl, token=os.environ["HUB_TOKEN"])


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