Update app.py

app.py

@@ -9,15 +9,11 @@ import numpy as np
 import json
 
 # Authenticate with Huggingface
-HF_TOKEN = os.getenv("HF_TOKEN")
-if HF_TOKEN:
-    login(HF_TOKEN)
-else:
-    raise ValueError("Huggingface token not found. Set HF_TOKEN environment variable.")
+AUTH_TOKEN = os.getenv("HF_TOKEN")
 
 # Load the diarization pipeline
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization-3.0", use_auth_token=HF_TOKEN).to(device)
+pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization-3.0", use_auth_token = AUTH_TOKEN).to(device)
 
 def preprocess_audio(audio_path):
     """Convert audio to mono, 16kHz WAV format suitable for pyannote."""