Update app.py

app.py

@@ -48,6 +48,7 @@ async def pytess(cell_pil_img):
     paddle_output=' '
     cell_cv_img=PIL_to_cv(cell_pil_img)
     height, width, channels = cell_cv_img.shape
+    st.text('height:'+str(height)+'/n'+'width:'+str(width))
     if height>=10 and width>=10:
         ocr = PaddleOCR(use_angle_cls=True,use_space_char=True) # need to run only once to download and load model into memory
         result = ocr.ocr(cell_cv_img,cls=True)