add token for gated and private models

whisper.py

@@ -17,7 +17,7 @@ CKPT = "projecte-aina/whisper-large-v3-tiny-caesar"
 BATCH_SIZE = 1
 model = WhisperForConditionalGeneration.from_pretrained(MODEL_NAME, torch_dtype=torch_dtype).to(device)
 processor = WhisperProcessor.from_pretrained(MODEL_NAME)
-pipeline_vad = Pipeline.from_pretrained("pyannote/voice-activity-detection", use_auth_token=os.environ.get("HF_TOKEN"))
+pipeline_vad = Pipeline.from_pretrained("pyannote/voice-activity-detection", use_auth_token=os.getenv("HF_TOKEN"))
 threshold = 10000 
 segments_dir = "."
 
@@ -25,7 +25,8 @@ pipe = pipeline(
     task="automatic-speech-recognition",
     model=CKPT,
     chunk_length_s=30,
-    device=device
+    device=device,
+    use_auth_token=os.getenv("HF_TOKEN")
     ) 
 
 def post_process_transcription(example_transcription, max_repeats=1):