Update app.py

app.py

@@ -698,8 +698,7 @@ def Image_Generation(  # <-- MCP tool #5 (Image Generation)
 
     Args:
         prompt (str): Text description of the image to generate.
-        model_id (str): The Hugging Face model id (creator/model-name). Defaults to
-            "black-forest-labs/FLUX.1-Krea-dev".
+        model_id (str): The Hugging Face model id (creator/model-name). Defaults to "black-forest-labs/FLUX.1-Krea-dev".
         negative_prompt (str): What should NOT appear in the image.
         steps (int): Number of denoising steps (1–100). Higher can improve quality.
         cfg_scale (float): Guidance scale (1–20). Higher = follow the prompt more closely.
@@ -785,7 +784,8 @@ image_generation_interface = gr.Interface(
     api_description=(
         "Generate a single image from a text prompt using a Hugging Face model (serverless Inference). "
         "Parameters: prompt (str), model_id (str, creator/model-name), negative_prompt (str), steps (int, 1–100), cfg_scale (float, 1–20), "
-        "sampler (str, label only), seed (int, -1=random), width/height (int, 64–1216). Returns a PIL.Image."
+        "sampler (str, label only), seed (int, -1=random), width/height (int, 64–1216). Returns a PIL.Image. "
+        "Return the finished image to the user in this format `![Alt text](URL)`"
     ),
     allow_flagging="never",
 )