Update app.py

app.py

@@ -22,8 +22,8 @@ dataset = load_dataset("mskov/miso_test", split="test").cast_column("audio", Aud
 
 print(dataset, "and at 0[audio][array] ", dataset[0]["audio"]["array"], type(dataset[0]["audio"]["array"]), "and at audio : ", dataset[0]["audio"])
 
-inputs = feature_extractor(dataset[0], return_tensors="pt")
-tokenized_dataset = miso_tokenizer(dataset["audio"]["array"])  # Tokenize the dataset
+inputs = feature_extractor(dataset[0]["audio"]["array"], return_tensors="pt")
+tokenized_dataset = miso_tokenizer(dataset[0])  # Tokenize the dataset
 
 input_ids = features.input_ids
 attention_mask = features.attention_mask