adding app with CLIP image segmentation

app.py

@@ -37,7 +37,7 @@ def detect_using_clip(image,prompts=[],threshould=0.4):
 
     return predicted_masks
 
-def visualize_images(image,predicted_images):
+def visualize_images(image,predicted_images,brightness=15):
     alpha = 0.7
     image_resize = cv2.resize(image,(352,352))
     resize_image_copy = image_resize.copy()
@@ -45,9 +45,9 @@ def visualize_images(image,predicted_images):
     for mask_image in predicted_images:
         resize_image_copy = cv2.addWeighted(resize_image_copy,alpha,mask_image,1-alpha,10)
 
-    return cv2.convertScaleAbs(resize_image_copy, alpha=1.8, beta=15)     
+    return cv2.convertScaleAbs(resize_image_copy, alpha=1.8, beta=brightness)     
 
-def shot(image, labels_text):
+def shot(brightness,image, labels_text):
     if "," in labels_text:
         prompts = labels_text.split(',')
     else:
@@ -55,7 +55,7 @@ def shot(image, labels_text):
     prompts = list(map(lambda x: x.strip(),prompts))
     predicted_images  = detect_using_clip(image,prompts=prompts)
 
-    category_image = visualize_images(image=image,predicted_images=predicted_images)
+    category_image = visualize_images(image=image,predicted_images=predicted_images,brightness=brightness)
     return category_image
 
 iface = gr.Interface(fn=shot,