increase brightness of image shown

app.py

@@ -243,9 +243,20 @@ def preprocess_image(image, output_size=(300, 300)):
 
     return image_resized
 
+def increase_brightness(img, value=30):
+    hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)  # Convert to HSV
+    h, s, v = cv2.split(hsv)
+
+    lim = 255 - value
+    v[v > lim] = 255
+    v[v <= lim] += value
+
+    final_hsv = cv2.merge((h, s, v))
+    img_bright = cv2.cvtColor(final_hsv, cv2.COLOR_HSV2BGR)
+    return img_bright
 def update_display(image):
     original_image = image
-    processed_image = preprocess_image(image) 
+    processed_image = preprocess_image(increase_brightness(image,value=50)) 
     instruction = "Image ready. Please switch to the 'Specimen Workbench' tab to check out further analysis and outputs."
     model_name = "Fossils 142"
     
@@ -404,7 +415,7 @@ with gr.Blocks(theme='sudeepshouche/minimalist') as demo:
                 # generate_exp.click(exp_image, inputs=[input_image,model_name,explain_method,sampling_size], outputs=[exp1,exp2,exp3,exp4,exp5]) #
                 # with gr.Accordion('Closest Leaves Images'):
                 #     gr.Markdown("5 closest leaves")
-                with gr.Accordion("Class Distribution of Closest Samples "):
+                with gr.Accordion("Family Distribution of Closest Samples "):
                     gr.Markdown("Visualize plant family distribution of top-k closest samples in our dataset")
                     with gr.Column():
                         with gr.Row():