Update app.py

app.py

@@ -1,15 +1,15 @@
 import torch
 from transformers import pipeline
 
-device = "cuda:0" if torch.cuda.is_available() else "cpu"
+# device = "cuda:0" if torch.cuda.is_available() else "cpu"
 pipe = pipeline(
     "automatic-speech-recognition", model="openai/whisper-base", device=device
 )
 
-from datasets import load_dataset
+# from datasets import load_dataset
 
-dataset = load_dataset("facebook/voxpopuli", "en", split="validation", streaming=True, trust_remote_code=True)  
-sample = next(iter(dataset))
+# dataset = load_dataset("facebook/voxpopuli", "en", split="validation", streaming=True, trust_remote_code=True)  
+# sample = next(iter(dataset))
 
 def translate(audio):
     outputs = pipe(audio, max_new_tokens=256, generate_kwargs={"task": "transcribe", "language": "fr"}) # "language": "fr"