Update app.py

app.py

@@ -198,7 +198,13 @@ ocr_lang=[
 
 
 
+def blur_im(img,bounds):
+    for bound in bounds:
+        p0, p1, p2, p3 = bound[0]
 
+        img[p0, p2] = cv2.blur(img[p0, p2] ,(23,23))
+    return img
+    
 def draw_boxes(image, bounds, color='blue', width=1):
     draw = ImageDraw.Draw(image)
     for bound in bounds:
@@ -214,12 +220,18 @@ def detect(img, target_lang,target_lang2=None):
     else:
         lang=[f"{lang_id[target_lang]}"]
         pass
-    
+    global bounds
     reader = easyocr.Reader(lang)
     bounds = reader.readtext(img)
     im = PIL.Image.open(img)
     im_out=draw_boxes(im, bounds)
-    return im_out,pd.DataFrame(bounds),pd.DataFrame(bounds).iloc[:,1:]
+    blr_out=blur_im(im,bounds)
+    return im_out,blr_out,pd.DataFrame(bounds),pd.DataFrame(bounds).iloc[:,1:]
+
+
+    
+
+    
 with gr.Blocks() as robot:
     with gr.Row():
         with gr.Column():
@@ -241,5 +253,5 @@ with gr.Blocks() as robot:
         gr.Column()
                         
 
-    go_btn.click(detect,[im,target_lang,target_lang2],[out_im,out_txt,data_f])
+    go_btn.click(detect,[im,target_lang,target_lang2],[out_im,trans_im,out_txt,data_f])
 robot.queue(concurrency_count=10).launch()