Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 # from transformers import WhisperProcessor, WhisperForConditionalGeneration
 from datasets import load_dataset
-from transformers import pipeline
+from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
 
 import torch
 # import librosa
@@ -14,7 +14,7 @@ import torch
 model_id = "openai/whisper-large-v3-turbo"
 
 models = AutoModelForSpeechSeq2Seq.from_pretrained(
-    model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True
+    model_id,  low_cpu_mem_usage=True
 )
 
 model = pipeline("automatic-speech-recognition", model=models, chunk_length_s=30, device=0)