fix filter function names

app.py

@@ -6,13 +6,12 @@ import kornia as K
 from kornia.core import Tensor
 
 
-def filters(file, blur_pool2d, box_blur, gaussian_blur2d, max_blur_pool2d, median_blur):      
+def filters_without(file, blur_pool2d, box_blur, gaussian_blur2d, max_blur_pool2d, median_blur):      
     # load the image using the rust backend          
     img: Tensor = K.io.load_image(file.name, K.io.ImageLoadType.RGB32)
     img = img[None]  # 1xCxHxW / fp32 / [0, 1]
 
     # apply tensor image enhancement
-    x_out = K.filters.blur_pool2d(x_out, int(blur_pool2d))
     x_out: Tensor = K.filters.box_blur(img, (int(box_blur), int(box_blur)))
     x_out = K.filters.gaussian_blur2d(x_out, 
                                       (int(gaussian_blur2d), int(gaussian_blur2d)), 
@@ -22,6 +21,22 @@ def filters(file, blur_pool2d, box_blur, gaussian_blur2d, max_blur_pool2d, media
 
     return K.utils.tensor_to_image(x_out)
 
+def filters_with(file, blur_pool2d, box_blur, gaussian_blur2d, max_blur_pool2d, median_blur):      
+    # load the image using the rust backend          
+    img: Tensor = K.io.load_image(file.name, K.io.ImageLoadType.RGB32)
+    img = img[None]  # 1xCxHxW / fp32 / [0, 1]
+
+    # apply tensor image enhancement
+    x_out: Tensor = K.filters.blur_pool2d(x_out, int(blur_pool2d))
+    x_out = K.filters.box_blur(img, (int(box_blur), int(box_blur)))
+    x_out = K.filters.gaussian_blur2d(x_out, 
+                                      (int(gaussian_blur2d), int(gaussian_blur2d)), 
+                                      (float(gaussian_blur2d), float(gaussian_blur2d)))
+    x_out = K.filters.max_blur_pool2d(x_out, int(max_blur_pool2d))
+    x_out = K.filters.median_blur(x_out, (int(median_blur), int(median_blur)))
+
+    return K.utils.tensor_to_image(x_out)
+
 
 examples = [
     ["examples/monkey.jpg", 1, 1, 1, 1, 1],
@@ -29,7 +44,7 @@ examples = [
 ]
 
 without_downsampling_demo = gr.Interface(
-    filters,
+    filters_without,
     [
         gr.inputs.Image(type="file"),
         gr.inputs.Slider(minimum=1, maximum=10, step=1, default=1, label="Box Blur"),
@@ -46,7 +61,7 @@ without_downsampling_demo = gr.Interface(
 )
 
 with_downsampling_demo = gr.Interface(
-    filters,
+    filters_with,
     [
         gr.inputs.Image(type="file"),
         gr.inputs.Slider(minimum=1, maximum=10, step=1, default=1, label="Blur Pool"),