still trying to fix issue

app.py

@@ -10,7 +10,7 @@ import sys
 import imageio
 import numpy as np
 
-sys.path.append('./code')
+# sys.path.append('./code')
 
 sys.path.append('/home/user/app/code')
 
@@ -236,11 +236,6 @@ def run_main_app(semantic_concept, word, script, prompt_suffix, font_name, num_s
         # compose image with white background
         img = img[:, :, 3:4] * img[:, :, :3] + torch.ones(img.shape[0], img.shape[1], 3, device=device) * (1 - img[:, :, 3:4])
         img = img[:, :, :3]
-
-        if step % skip == 0:
-            img_tensor = img.detach().cpu()
-            img_tensor = torch.nn.functional.interpolate(img_tensor, size=(200, 200, 3), mode='bicubic', align_corners=False)
-            gif_frames += [img_tensor.numpy()]
         
         filename = os.path.join(cfg.experiment_dir, "video-svg", f"iter{step:04d}.svg")
         check_and_create_dir(filename)
@@ -249,6 +244,13 @@ def run_main_app(semantic_concept, word, script, prompt_suffix, font_name, num_s
             yield gr.update(visible=True),gr.update(value=filename, label=f'iters: {step} / {num_iter}', visible=True),gr.update(visible=False),gr.update(value=cfg.caption,visible=True),gr.update(value=cfg.seed,visible=True)
 
         x = img.unsqueeze(0).permute(0, 3, 1, 2)  # HWC -> NCHW
+
+        if step % skip == 0:
+            img_tensor = x.detach().cpu()
+            img_tensor = torch.nn.functional.interpolate(img_tensor, size=(200, 200), mode='bicubic', align_corners=False)
+            img_tensor = img_tensor.permute(0, 3, 2, 1).squeeze(0)
+            gif_frames += [img_tensor.numpy()]
+        
         x = x.repeat(cfg.batch_size, 1, 1, 1)
         x_aug = data_augs.forward(x)