updated code for gradio 5

README.md

@@ -4,7 +4,7 @@ emoji: 👀
 colorFrom: green
 colorTo: gray
 sdk: gradio
-sdk_version: 4.42.0
+sdk_version: 5.23.3
 app_file: app.py
 pinned: false
 license: mit

app.py

@@ -3,13 +3,12 @@ import numpy as np
 import gradio as gr
 
 
-
 def apply_watermark(img, logo, mode):
-    
+
     # change the mode to BGR for processing
     img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
     logo = cv2.cvtColor(logo, cv2.COLOR_RGBA2BGRA)
-    
+
     # Get dimensions of the main image and watermark
     main_height, main_width = img.shape[:2]
     watermark_height, watermark_width = logo.shape[:2]
@@ -25,7 +24,7 @@ def apply_watermark(img, logo, mode):
 
     # Place the watermark
     roi = img[y : y + watermark_height, x : x + watermark_width]
-    
+
     # Separate the color and alpha channels.
     # print(logo.shape)
     logo_bgr = logo[:, :, 0:3]
@@ -44,7 +43,6 @@ def apply_watermark(img, logo, mode):
 
     if mode == "Opaque":
 
-
         # Combine the masked ROI with the masked logo to get the combined ROI image.
         roi_final = cv2.bitwise_or(masked_roi, masked_logo)
 
@@ -89,8 +87,11 @@ interface = gr.Interface(
     outputs=[final_output],
     title="OpenCV Watermark",
     description="Upload your Input Image and choose a logo to create your watermark image!",
-    examples=[["./images/hp-2.jpg", "./images/opencv-logo-rz.png"], ["./images/hp.jpg", "./images/opencv-university-rz.png"]],
+    examples=[
+        ["./images/hp-2.jpg", "./images/opencv-logo-rz.png"],
+        ["./images/hp.jpg", "./images/opencv-university-rz.png"],
+    ],
     cache_examples=False,
 )
 
-interface.launch()
+interface.launch()