Update app.py

app.py

@@ -4,6 +4,8 @@ import spaces
 import contextlib
 import warnings
 warnings.filterwarnings("ignore")
+
+
 from pydub import AudioSegment
 
 # If m4a audio, convert to wav (Python)
@@ -14,19 +16,6 @@ def convert_to_wav(audio_file):
     return wav_file
 
 import torch
-
-# torch_dtype = torch.float32
-#MODEL_NAME = "NbAiLabBeta/nb-whisper-large"
-
-#pipe = pipeline(
-    #task="automatic-speech-recognition",
-    #model=MODEL_NAME,
-    #chunk_length_s=30,
-    #device=device,
-)
-
-#pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(language="no", task="transcribe")
-
 from transformers import pipeline
 
 pipe = pipeline("automatic-speech-recognition", model="NbAiLab/nb-whisper-large")