Update app.py

app.py

@@ -9,6 +9,7 @@ from transformers.pipelines.audio_utils import ffmpeg_read
 import tempfile
 import os
 
+hf_token = os.getenv('HF_TOKEN')
 MODEL_NAME = "nyrahealth/CrisperWhisper"
 BATCH_SIZE = 8
 FILE_LIMIT_MB = 1000
@@ -19,6 +20,7 @@ device = 0 if torch.cuda.is_available() else "cpu"
 pipe = pipeline(
     task="automatic-speech-recognition",
     model=MODEL_NAME,
+    token=hf_token,
     chunk_length_s=30,
     device=device,
 )