Update app.py

app.py

@@ -1,19 +1,7 @@
 import gradio 
 import cv2
 
-def greet(image, in_contrast, in_brightness):
-    in_contrast = float(in_contrast)
-    in_brightness = float(in_brightness)
-    # contrast [1.0-3.0]
-    # brightness [0-100]
-    # https://docs.opencv.org/4.x/d3/dc1/tutorial_basic_linear_transform.html
-    new_image = cv2.convertScaleAbs(image, alpha=in_contrast, beta=in_brightness)
 
-    # We create our gabor filters, and then apply them to our image
-    gfilters = create_gaborfilter()
-    new_image = apply_filter(new_image, gfilters)
- 
-    return new_image
     
 def create_gaborfilter():
     # This function is designed to produce a set of GaborFilters 
@@ -50,7 +38,19 @@ def apply_filter(img, filters):
         np.maximum(newimage, image_filter, newimage)
     return newimage
 
+def greet(image, in_contrast, in_brightness):
+    in_contrast = float(in_contrast)
+    in_brightness = float(in_brightness)
+    # contrast [1.0-3.0]
+    # brightness [0-100]
+    # https://docs.opencv.org/4.x/d3/dc1/tutorial_basic_linear_transform.html
+    new_image = cv2.convertScaleAbs(image, alpha=in_contrast, beta=in_brightness)
 
+    # We create our gabor filters, and then apply them to our image
+    gfilters = create_gaborfilter()
+    new_image = apply_filter(new_image, gfilters)
+ 
+    return new_image
     
 demo = gradio.Interface(
     fn=greet,