Sync model card with upstream GitHub inference README

README.md

@@ -11,6 +11,10 @@ license: apache-2.0
 
 # LocalVQE
 
+[![Open in Spaces](https://huggingface.co/datasets/huggingface/badges/resolve/main/open-in-hf-spaces-md.svg)](https://huggingface.co/spaces/LocalAI-io/LocalVQE-demo)
+[![GitHub](https://img.shields.io/badge/GitHub-LocalAI--io%2FLocalVQE-181717?logo=github)](https://github.com/LocalAI-io/LocalVQE)
+[![License: Apache 2.0](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://www.apache.org/licenses/LICENSE-2.0)
+
 **Local Voice Quality Enhancement** — a compact neural model for joint
 acoustic echo cancellation (AEC), noise suppression, and dereverberation of
 16 kHz speech, designed to run on commodity CPUs in real time.
@@ -20,7 +24,8 @@ acoustic echo cancellation (AEC), noise suppression, and dereverberation of
 - Causal, streaming: 256-sample hop, 16 ms algorithmic latency
 - F32 reference inference in C++ via [GGML](https://github.com/ggml-org/ggml);
   PyTorch reference included for verification and research
-- Apache 2.0
+
+Try it live: <https://huggingface.co/spaces/LocalAI-io/LocalVQE-demo>.
 
 This page is the Hugging Face model card — it hosts the published weights.
 Source code, build system, tests, and training pipeline live in the GitHub