Update app.py

app.py

@@ -229,6 +229,10 @@ async def process_image(
         timestamp = datetime.datetime.now().strftime('%Y%m%d%H%M%S%f')
         object_name = f'object_{timestamp}_1.obj'
         object_name_2 = f'object_{timestamp}_2.glb'
+        object_name_3 = f"object_{timestamp}.png"
+        preprocessed_image_tempfile = tempfile.NamedTemporaryFile(suffix=".png", delete=False)
+        preprocessed.save(preprocessed_image_tempfile.name)
+        upload_file_to_s3(preprocessed_image_tempfile.name, 'framebucket3d', object_name_3)
     
         if upload_file_to_s3(mesh_name_obj, 'framebucket3d',object_name) and upload_file_to_s3(mesh_name_glb, 'framebucket3d',object_name_2):
             # torch.cuda.synchronize()  # Wait for all CUDA operations to complete