feat: Add HuggingFace authentication to increase ZeroGPU quota

- Added HF_TOKEN environment variable support for authentication
- Automatic login to HuggingFace on service startup
- Added huggingface_hub dependency to requirements
- Debug logging shows authentication status
- This should eliminate '429 Too Many Requests' ZeroGPU quota errors

Usage: Set HF_TOKEN secret in HuggingFace Space settings with your token

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

app.py

@@ -355,6 +355,19 @@ if __name__ == "__main__":
     logger.info(f"🎤 DEBUG: Device: {device}")
     logger.info(f"🎤 DEBUG: Model size: {model_size}")
     logger.info(f"🎤 DEBUG: Default language: English (en)")
+    
+    # Login to HuggingFace to get more ZeroGPU quota
+    try:
+        from huggingface_hub import login
+        hf_token = os.getenv('HF_TOKEN')
+        if hf_token:
+            login(token=hf_token)
+            logger.info(f"🔑 DEBUG: HuggingFace authentication successful")
+        else:
+            logger.warning(f"⚠️ DEBUG: No HF_TOKEN found - using anonymous access (limited quota)")
+    except Exception as e:
+        logger.error(f"❌ DEBUG: HuggingFace login failed: {e}")
+    
     logger.info(f"🎤 DEBUG: Service ready for connections")
     
     # Create FastAPI app for WebSocket endpoints

requirements.txt

@@ -9,4 +9,5 @@ numpy>=1.21.0
 soundfile>=0.12.0
 fastapi>=0.104.0
 uvicorn>=0.24.0
-python-multipart>=0.0.6
+python-multipart>=0.0.6
+huggingface_hub>=0.17.0