Update app.py

app.py

@@ -2,6 +2,17 @@ import gradio as gr
 import torch
 import torchaudio
 from transformers import AutoModel
+from huggingface_hub import login
+import os
+
+# Authenticate with Hugging Face
+# The token will be automatically available in HF Spaces as an environment variable
+hf_token = os.getenv("HF_TOKEN")
+if hf_token:
+    login(token=hf_token)
+    print("✅ Authenticated with Hugging Face")
+else:
+    print("⚠️ HF_TOKEN not found. Make sure to add it in Space settings.")
 
 # Initialize device
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -11,7 +22,8 @@ print(f"Using device: {device}")
 print("Loading IndicConformer model...")
 indic_asr_model = AutoModel.from_pretrained(
     "ai4bharat/indic-conformer-600m-multilingual", 
-    trust_remote_code=True
+    trust_remote_code=True,
+    token=hf_token  # Pass token explicitly
 )
 if device == "cuda":
     indic_asr_model = indic_asr_model.to(device)