add docstrings explanation for MCP server mode

app.py

@@ -80,6 +80,24 @@ def visualize_all(pil_image, heatmaps, bboxes, inout_scores, inout_thresh=0.5):
 
 @spaces.GPU() # ZeroGPU ready
 def main(image_input, progress=gr.Progress(track_tqdm=True)):
+    
+    """Estimate gaze direction for detected faces in an image using Gaze-LLE.
+    
+    This function processes an input image to detect faces, estimates gaze heatmaps 
+    for each face using a pre-trained Gaze-LLE model, and then visualizes the results 
+    including gaze direction and whether each person's gaze is within the frame.
+
+    Args:
+        image_input: A filepath to the input image. Should be a photo containing one or more human faces.
+        progress: Optional Gradio progress tracker for UI feedback (used during inference).
+
+    Returns:
+        result_gazed (PIL.Image.Image): A single composite image with bounding boxes around faces, 
+            lines indicating predicted gaze direction, and indicators of whether gaze is "in-frame".
+        heatmap_results (List[PIL.Image.Image]): A list of individual images, one per face, each showing 
+            the original image overlaid with a heatmap of the predicted gaze target.
+    """
+    
     # load image
     image = Image.open(image_input)
     width, height = image.size
@@ -163,4 +181,4 @@ with gr.Blocks(css=css) as demo:
         inputs = [input_image],
         outputs = [result, heatmaps]
     )
-demo.queue().launch(show_api=False, show_error=True)
+demo.queue().launch(ssr_mode=False, show_error=True, mcp_server=True)