Update tool.py

tool.py

@@ -3,20 +3,21 @@ 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 = "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. The generated image is always saved to `{SAVE_PATH}`."
     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}
+             # "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, save_path=None):
+    def forward(self, prompt):
         image = self.client.text_to_image(prompt)
-        if save_path is not None:
-            image.save(save_path)
+        image.save(SAVE_PATH)
         return image