fix: size accepted by the model because of the recent change in preprocessors

app.py

@@ -26,7 +26,7 @@ DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 MODEL = VideoMAEForVideoClassification.from_pretrained(MODEL_CKPT).to(DEVICE)
 PROCESSOR = VideoMAEFeatureExtractor.from_pretrained(MODEL_CKPT)
 
-RESIZE_TO = PROCESSOR.size
+RESIZE_TO = PROCESSOR.size["shortest_edge"]
 NUM_FRAMES_TO_SAMPLE = MODEL.config.num_frames
 IMAGE_STATS = {"image_mean": [0.485, 0.456, 0.406], "image_std": [0.229, 0.224, 0.225]}
 VAL_TRANSFORMS = Compose(