Update app.py

app.py

@@ -30,12 +30,12 @@ if file_name is not None:
 
     bbox,confidance,classes,nc = model(input_image)
     bbox,confidance , classes , nc  = bbox[0].numpy(),confidance[0].numpy(),classes[0].numpy(),nc[0].numpy()
-    
+    st.subheader("Detected Result")
     for i in range(nc):
         if confidance[i] >= threshold:
             x1,y1,x2,y2 = bbox[i]*640
             class_name = labels[int(classes[i])]
-            st.subheader(class_name)
+            st.title(class_name)
             if class_name =="Header":
                 color = (0,0,255) #Blue color
                 cv2.rectangle(copy_img, (int(x1), int(y1)), (int(x2), int(y2)),color, 2)