Update app.py

app.py

@@ -7,16 +7,29 @@ from tools.final_answer import FinalAnswerTool
 
 from Gradio_UI import GradioUI
 
+from diffusers import StableDiffusionPipeline
+import torch
+from io import BytesIO
+
+# Load Stable Diffusion Model
+pipeline = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
+pipeline.to("cuda")  # Use GPU if available
+
 # Below is an example of a tool that does nothing. Amaze us with your creativity !
 @tool
-def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
-    #Keep this format for the description / args / args description but feel free to modify the tool
-    """A tool that does nothing yet 
+def my_custom_tool(prompt: str, steps: int = 50, guidance_scale: float = 7.5) -> bytes:
+    """Generates an image based on a text prompt using Stable Diffusion.
     Args:
-        arg1: the first argument
-        arg2: the second argument
+        prompt: The description of the image.
+        steps: Number of inference steps (default is 50 for quality balance).
+        guidance_scale: How much the model follows the text (default is 7.5).
+    Returns:
+        The generated image in bytes (PNG format).
     """
-    return "What magic will you build ?"
+    image = pipeline(prompt, num_inference_steps=steps, guidance_scale=guidance_scale).images[0]
+    img_byte_arr = BytesIO()
+    image.save(img_byte_arr, format='PNG')
+    return img_byte_arr.getvalue()
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str: