Update app.py

app.py

@@ -39,7 +39,8 @@ task_evaluator = evaluator("automatic-speech-recognition")
 #data = load_dataset("audiofolder", data_dir="mskov/miso_test")
 # data = load_dataset("audiofolder", data_files=["datasets/mskov/miso_test/test_set/and.wav","mskov/miso_test/test_set/chew1.wav","mskov/miso_test/test_set/chew3.wav", "mskov/miso_test/test_set/chew3.wav","mskov/miso_test/test_set/chew4.wav","mskov/miso_test/test_set/cough1.wav","mskov/miso_test/test_set/cough2.wav","mskov/miso_test/test_set/cough3.wav","mskov/miso_test/test_set/hi.wav","mskov/miso_test/test_set/knock_knock.wav","mskov/miso_test/test_set/mouth_sounds1.wav","mskov/miso_test/test_set/mouth_sounds2.wav","mskov/miso_test/test_set/no.wav","mskov/miso_test/test_set/not_bad.wav","mskov/miso_test/test_set/oh_i_wish.wav","mskov/miso_test/test_set/pop1.wav","mskov/miso_test/test_set/really.wav","mskov/miso_test/test_set/sigh1.wav","mskov/miso_test/test_set/sigh2.wav","mskov/miso_test/test_set/slurp1.wav","mskov/miso_test/test_set/slurp2.wav","mskov/miso_test/test_set/sneeze1.wav","mskov/miso_test/test_set/sneeze2.wav","mskov/miso_test/test_set/so_i_did_it_again.wav"])
 #dataset = load_dataset("mskov/miso_test", split="test").cast_column("audio", Audio())
-dataset = load_dataset("mskov/miso_test", split="test")
+# dataset = load_dataset("mskov/miso_test", split="test")
+dataset = load_dataset("mskov/ESC50", split="test")
 print(dataset)
 results = task_evaluator.compute(
     model_or_pipeline=whisper_miso,
@@ -47,7 +48,7 @@ results = task_evaluator.compute(
     data=dataset,
     tokenizer=miso_tokenizer,
     #feature_extractor=miso_feature_extractor,
-    input_column=["path","file_name"],
+    input_column="audio",
     label_column="category",
     # device=None,
     strategy="simple",