Update app.py

app.py

@@ -5,10 +5,13 @@ import numpy as np
 from sklearn.metrics.pairwise import cosine_similarity
 import os
 
-# Load speaker embedding model (requires Hugging Face token if private)
-model = Inference("pyannote/embedding", window="whole")
+# ✅ Use HF token from Hugging Face Space secrets
+hf_token = os.getenv("HF_TOKEN")
 
-# Load known speaker embeddings
+# 🔐 Load model with authentication
+model = Inference("pyannote/embedding", use_auth_token=hf_token, window="whole")
+
+# 🎧 Load known speaker embeddings
 speaker_embeddings = {}
 for speaker in os.listdir("known_speakers"):
     if speaker.endswith(".wav"):
@@ -29,7 +32,7 @@ def identify_speaker(audio):
     
     return f"🧍 Identified Speaker: {best_speaker}\n🧪 Similarity Score: {best_score:.2f}"
 
-# Gradio interface
+# 🚀 Launch Gradio UI
 gr.Interface(
     fn=identify_speaker,
     inputs=gr.Audio(source="microphone", type="filepath", label="🎙️ Upload or record voice"),