Update app.py

app.py

@@ -182,16 +182,7 @@ ocr_id = {
 def blur_im(img,bounds,target_lang,trans_lang):
     im = cv2.imread(img)
     im = cv2.cvtColor(im, cv2.COLOR_BGR2RGB)
-    im_h = im.shape[0]
-    im_w = im.shape[1]
-    if im_w > im_h:
-        rato=im_h/im_w
-        im = cv2.resize(im, (1000,(int(1000*float(rato)))))
-    elif im_w < im_h:
-        rato=im_w/im_h
-        im = cv2.resize(im, (int(1000*float(rato)),1000))
-    elif im_w == im_h:
-        im = cv2.resize(im,(1000,1000))
+   
     for bound in bounds:
         if bound[2]>=0.3:
             p0, p1, p2, p3 = bound[0]
@@ -271,6 +262,16 @@ def detect(img, target_lang,trans_lang,target_lang2=None):
         lang=[f"{ocr_id[target_lang]}"]
         pass
     #global bounds
+    im_h = img.shape[0]
+    im_w = img.shape[1]
+    if im_w > im_h:
+        rato=im_h/im_w
+        img = cv2.resize(img, (1000,(int(1000*float(rato)))))
+    elif im_w < im_h:
+        rato=im_w/im_h
+        img = cv2.resize(img, (int(1000*float(rato)),1000))
+    elif im_w == im_h:
+        img = cv2.resize(img,(1000,1000))
     reader = easyocr.Reader(lang)
     bounds = reader.readtext(img)
     im = PIL.Image.open(img)