Adds full docstrings for your main functions, MCP server ready !

app.py

@@ -21,6 +21,21 @@ transform_image = transforms.Compose(
 )
 
 def fn(image):
+    """
+    Remove the background from an image and return both the transparent version and the original.
+
+    This function performs background removal using a BiRefNet segmentation model. It is intended for use
+    with image input (either uploaded or from a URL). The function returns a transparent PNG version of the image
+    with the background removed, along with the original RGB version for comparison.
+
+    Args:
+        image (PIL.Image or str): The input image, either as a PIL object or a filepath/URL string.
+
+    Returns:
+        tuple:
+            - processed_image (PIL.Image): The input image with the background removed and transparency applied.
+            - origin (PIL.Image): The original RGB image, unchanged.
+    """
     im = load_img(image, output_type="pil")
     im = im.convert("RGB")
     origin = im.copy()
@@ -29,6 +44,18 @@ def fn(image):
 
 @spaces.GPU
 def process(image):
+    """
+    Apply BiRefNet-based image segmentation to remove the background.
+
+    This function preprocesses the input image, runs it through a BiRefNet segmentation model to obtain a mask,
+    and applies the mask as an alpha (transparency) channel to the original image.
+
+    Args:
+        image (PIL.Image): The input RGB image.
+
+    Returns:
+        PIL.Image: The image with the background removed, using the segmentation mask as transparency.
+    """
     image_size = image.size
     input_images = transform_image(image).unsqueeze(0).to("cuda")
     # Prediction
@@ -41,6 +68,15 @@ def process(image):
     return image
 
 def process_file(f):
+    """
+    Load an image file from disk, remove the background, and save the output as a transparent PNG.
+
+    Args:
+        f (str): Filepath of the image to process.
+
+    Returns:
+        str: Path to the saved PNG image with background removed.
+    """
     name_path = f.rsplit(".", 1)[0] + ".png"
     im = load_img(f, output_type="pil")
     im = im.convert("RGB")
@@ -68,4 +104,4 @@ demo = gr.TabbedInterface(
 )
 
 if __name__ == "__main__":
-    demo.launch(show_error=True)
+    demo.launch(show_error=True, mcp_server=True)