Update app.py

app.py

@@ -1,37 +1,53 @@
 import gradio as gr
 
-import cv2 as cv
-import numpy as np
-from matplotlib import pyplot as plt
+import kornia as K
+from kornia.core import Tensor
 
 
-def blur(file):      
-    img = cv.imread('opencv-logo-white.png')
-    avg_blur = cv.blur(img,(5,5))
-    gaus_blur = cv.GaussianBlur(img,(5,5),0)
-    med_blur  = cv.medianBlur(img,5)
 
-    return avg_blur, gaus_blur, med_blur
+def enhance(file, brightness, contrast, saturation, gamma, hue):      
+    # 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))
+
+    return K.utils.tensor_to_image(x_out)
 
 
 examples = [
-    ["kitty.jpg"],
+    ["examples/ninja_turtles.jpg", 0, 1, 1, 1, 0],
+    ["examples/kitty.jpg", 0, 1, 1, 1, 0],
 ]
 
-title = "OpenCV Blurring"
+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>"
+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.Image(type="file"),
+        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.Image(label="Average Blur"),
-        gr.Image(label="Gaussian Blur"),
-        gr.Image(label="Median Blur"),
-    ]
+    "image",
+
+
+
+
     examples=examples,
+    # title=title,
+    # description=description,
+    # article=article,
     live=True
 )
-
-iface.launch()