Update app.py

app.py

@@ -198,8 +198,8 @@ device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
 print('Using device:', device)
 model = load_vqgan_model(args.vqgan_config, args.vqgan_checkpoint).to(device)
 perceptor = clip.load(args.clip_model, jit=False)[0].eval().requires_grad_(False).to(device)
-all_frames = []
 def inference(text, seed, step_size, max_iterations, width, height, init_image, init_weight):
+    all_frames = []
     size=[width, height]
     texts = text
     init_weight=init_weight