Update app.py

app.py

@@ -22,6 +22,7 @@ file_name = st.file_uploader("Upload a report image")
 
 if file_name is not None:
     col1, col2 = st.columns(2)
+    col3, col4 = st.columns(2)
     
     image = Image.open(file_name)
     input_image, copy_img= process_img(image)
@@ -38,7 +39,7 @@ if file_name is not None:
         if confidance[i] >= threshold:
             x1,y1,x2,y2 = bbox[i]*640
             class_name = labels[int(classes[i])]
-            st.text(class_name+" : "+str(int(confidance[i]*100))+"%")
+            col3.text(class_name+" : "+str(int(confidance[i]*100))+"%")
             if class_name =="Header":
                 header_count+=1
                 color = (0,0,255) #Blue color
@@ -53,9 +54,9 @@ if file_name is not None:
                 table_count+=1
                 color = (255,0,0) #Red color
                 cv2.rectangle(copy_img, (int(x1), int(y1)), (int(x2), int(y2)),color, 2)
-    st.text("No of Table  Detected : "+str(table_count))
-    st.text("No of Header Detected : "+str(header_count))
-    st.text("No of Column Detected : "+str(column_count))
+    col4.text("No of Table  Detected : "+str(table_count))
+    col4.text("No of Header Detected : "+str(header_count))
+    col4.text("No of Column Detected : "+str(column_count))
     col2.header("Output Result")
     col2.image(copy_img, use_column_width=True)