Update script.py

script.py

@@ -64,10 +64,11 @@ for el in tqdm.tqdm(dataset_remote):
     # el["video"]["path"] containts the filename. This is just for reference and you cant actually load it
 
     # if you are using libraries that expect a file. You can use BytesIO object
+    print("processing", el["id"])
+
     try:
         file_like = io.BytesIO(el["video"]["bytes"])
         tensor = preprocess(file_like)
-        print("processing", el["id"])
 
         with torch.no_grad():
             # soft decision (such as log likelihood score)