Update app.py

app.py

@@ -10,6 +10,7 @@ import os
 from PIL import ImageFont, ImageDraw, Image
 
 lang_id = {
+    "":"",
     "Afrikaans": "af",
     "Amharic": "am",
     "Arabic": "ar",
@@ -211,7 +212,7 @@ def blur_im(img,bounds):
         w = int(p2[0]) - int(x)
         h = int(p2[1]) - int(y)
         kernel = np.ones((3, 3), np.uint8)
-        im[y:y+h, x:x+w] = cv2.dilate(im[y:y+h, x:x+w], kernel, iterations=6)
+        im[y:y+h, x:x+w] = cv2.dilate(im[y:y+h, x:x+w], kernel, iterations=3)
         im[y:y+h, x:x+w] = cv2.GaussianBlur(im[y:y+h, x:x+w],(51,51),0)
         
         
@@ -267,20 +268,18 @@ with gr.Blocks() as robot:
         with gr.Column():
             im=gr.Image(type="filepath")
         with gr.Column():
-            with gr.Row():
-                target_lang = gr.Dropdown(label="Detect language", choices=list(lang_id.keys()),value="English")
-                target_lang2 = gr.Dropdown(label="Detect language", choices=list(lang_id.keys()),value="")
-                go_btn=gr.Button()
+            target_lang = gr.Dropdown(label="Detect language", choices=list(lang_id.keys()),value="English")
+            target_lang2 = gr.Dropdown(label="Detect language2", choices=list(lang_id.keys()),value="")
+            go_btn=gr.Button()
     with gr.Row():
         with gr.Column():
             out_im=gr.Image()
         with gr.Column():
-            out_txt=gr.Textbox(lines=8)
-            data_f=gr.Dataframe()
+            trans_im=gr.Image()            
+
     with gr.Row():
-        with gr.Column():
-            trans_im=gr.Image()
-        gr.Column()
+        out_txt=gr.Textbox(lines=8)
+        data_f=gr.Dataframe()
                         
 
     go_btn.click(detect,[im,target_lang,target_lang2],[out_im,trans_im,out_txt,data_f])