Update app.py

app.py

@@ -5,8 +5,9 @@ import numpy as np
 
 from transformers import WhisperProcessor, WhisperForConditionalGeneration, pipeline
 
-processor = WhisperProcessor.from_pretrained("akadriu/whisper-medium-sq")
-model = WhisperForConditionalGeneration.from_pretrained("akadriu/whisper-medium-sq")
+hf_token = os.getenv("HUGGINGFACE_HUB_TOKEN")
+processor = WhisperProcessor.from_pretrained("akadriu/whisper-medium-sq", token=hf_token)
+model = WhisperForConditionalGeneration.from_pretrained("akadriu/whisper-medium-sq", token=hf_token)
 
 def transcribe(audio):
     audio_input, _ = librosa.load(audio, sr=16000)