fix: update app.py to work with new gradio sdk

app.py

@@ -1,23 +1,26 @@
 import gradio as gr
-
 import kornia as K
 from kornia.core import Tensor
-
-
-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]
-
+import numpy as np
+
+def enhance(image, brightness, contrast, saturation, gamma, hue):
+    # Convert numpy array to tensor
+    if isinstance(image, np.ndarray):
+        img = K.image_to_tensor(image).float() / 255.0
+    else:
+        # If it's a file path (for examples), load it using kornia
+        img = K.io.load_image(image, K.io.ImageLoadType.RGB32)
+    
+    img = img.unsqueeze(0)  # 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)
-
+    x_out: Tensor = K.enhance.adjust_brightness(img, brightness)
+    x_out = K.enhance.adjust_contrast(x_out, contrast)
+    x_out = K.enhance.adjust_saturation(x_out, saturation)
+    x_out = K.enhance.adjust_gamma(x_out, gamma)
+    x_out = K.enhance.adjust_hue(x_out, hue)
+    
+    return K.utils.tensor_to_image(x_out.squeeze())
 
 examples = [
     ["examples/ninja_turtles.jpg", 0, 1, 1, 1, 0],
@@ -31,18 +34,18 @@ article = "<p style='text-align: center'><a href='https://kornia.readthedocs.io/
 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.Image(type="numpy"),
+        gr.Slider(minimum=0, maximum=1, step=0.1, value=0, label="Brightness"),
+        gr.Slider(minimum=0, maximum=4, step=0.1, value=1, label="Contrast"),
+        gr.Slider(minimum=0, maximum=4, step=0.1, value=1, label="Saturation"),
+        gr.Slider(minimum=0, maximum=1, step=0.1, value=1, label="Gamma"),
+        gr.Slider(minimum=-0.5, maximum=0.5, step=0.1, value=0, label="Hue"),
     ],
     "image",
     examples=examples,
-    # title=title,
-    # description=description,
-    # article=article,
+    title=title,
+    description=description,
+    article=article,
     live=True
 )