update app.py

app.py

@@ -1,5 +1,4 @@
-# taken from https://huggingface.co/spaces/kornia/kornia-image-enhancement/blob/main/app.py created from https://github.com/NimaBoscarino
-# as first try
+# created with great guidance from https://github.com/NimaBoscarino
 
 import gradio as gr
 
@@ -7,17 +6,17 @@ import kornia as K
 from kornia.core import Tensor
 
 
-def enhance(file, brightness, contrast, saturation, gamma, hue):      
+def filters(file, box_blur, blur_pool2d, 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.enhance.adjust_brightness(img, float(brightness))
-    x_out = K.enhance.adjust_contrast(x_out, float(contrast))
-    x_out = K.enhance.adjust_saturation(x_out, float(saturation))
-    x_out = K.enhance.adjust_gamma(x_out, float(gamma))
-    x_out = K.enhance.adjust_hue(x_out, float(hue))
+    x_out: Tensor = K.filters.box_blur(img, float(box_blur))
+    x_out = K.filters.blur_pool2d(x_out, float(blur_pool2d))
+    x_out = K.filters.gaussian_blur2d(x_out, float(gaussian_blur2d))
+    x_out = K.filters.max_blur_pool2d(x_out, float(max_blur_pool2d))
+    x_out = K.filters.median_blur(x_out, float(median_blur))
 
     return K.utils.tensor_to_image(x_out)
 
@@ -27,19 +26,19 @@ examples = [
     ["examples/kitty.jpg", 0, 1, 1, 1, 0],
 ]
 
-title = "Kornia Image Enhancements"
-description = "<p style='text-align: center'>This is a Gradio demo for Kornia's Image Enhancements.</p><p style='text-align: center'>To use it, simply upload your image, or click one of the examples to load them, and use the sliders to enhance! Read more at the links at the bottom.</p>"
+title = "Kornia Image Filters"
+description = "<p style='text-align: center'>This is a Gradio demo for Kornia's Image Filters.</p><p style='text-align: center'>To use it, simply upload your image, or click one of the examples to load them, and use the sliders to enhance! Read more at the links at the bottom.</p>"
 article = "<p style='text-align: center'><a href='https://kornia.readthedocs.io/en/latest/' target='_blank'>Kornia Docs</a> | <a href='https://github.com/kornia/kornia' target='_blank'>Kornia Github Repo</a> | <a href='https://kornia-tutorials.readthedocs.io/en/latest/image_enhancement.html' target='_blank'>Kornia Enhancements Tutorial</a></p>"
 
 iface = gr.Interface(
     enhance,
     [
         gr.inputs.Image(type="file"),
-        gr.inputs.Slider(minimum=0, maximum=1, step=0.1, default=0, label="Brightness"),
-        gr.inputs.Slider(minimum=0, maximum=4, step=0.1, default=1, label="Contrast"),
-        gr.inputs.Slider(minimum=0, maximum=4, step=0.1, default=1, label="Saturation"),
-        gr.inputs.Slider(minimum=0, maximum=1, step=0.1, default=1, label="Gamma"),
-        gr.inputs.Slider(minimum=0, maximum=4, step=0.1, default=0, label="Hue"),
+        gr.inputs.Slider(minimum=0, maximum=1, step=0.1, default=0, label="Box Blur"),
+        gr.inputs.Slider(minimum=0, maximum=4, step=0.1, default=1, label="Blur Pool"),
+        gr.inputs.Slider(minimum=0, maximum=4, step=0.1, default=1, label="Gaussian Blur"),
+        gr.inputs.Slider(minimum=0, maximum=1, step=0.1, default=1, label="Max Pool"),
+        gr.inputs.Slider(minimum=0, maximum=4, step=0.1, default=0, label="Median Blur"),
     ],
     "image",
     examples=examples,