Update README.md

README.md

@@ -22,17 +22,46 @@ th, td {
     font-weight: bold;
     text-decoration: underline;
 }
+.badges {
+    display: flex;
+    justify-content: center;
+    gap: 10px;
+    flex-wrap: wrap;
+    margin-top: 10px;
+}
+.badge {
+    text-decoration: none;
+    display: inline-block;
+    padding: 4px 8px;
+    border-radius: 5px;
+    color: #fff;
+    font-size: 12px;
+    font-weight: bold;
+}
+.badge-hf-blue {
+    background-color: #767b81;
+}
+.badge-hf-pink {
+    background-color: #7b768a;
+}
+.badge-github {
+    background-color: #2c2b2b;
+}
 </style>
 
-<div style="text-align: center; margin: 20px auto; padding: 20px; border: 3px solid #ddd; border-radius: 10px;">
+<div style="text-align: center; margin: 20px auto; padding: 10px; border: 2px solid #ddd; border-radius: 10px;">
   <h2 style="margin-bottom: 4px; margin-top: 0px;">OuteAI</h2>
   <a href="https://www.outeai.com/" target="_blank" style="margin-right: 10px;">🌎 OuteAI.com</a> 
   <a href="https://discord.gg/vyBM87kAmf" target="_blank" style="margin-right: 10px;">🤝 Join our Discord</a>
   <a href="https://x.com/OuteAI" target="_blank">𝕏 @OuteAI</a>
+  <div class="badges">
+    <a href="https://huggingface.co/OuteAI/OuteTTS-0.1-350M" target="_blank" class="badge badge-hf-blue">🤗 Hugging Face - OuteTTS 0.1 350M</a>
+    <a href="https://huggingface.co/OuteAI/OuteTTS-0.1-350M-GGUF" target="_blank" class="badge badge-hf-blue">🤗 Hugging Face - OuteTTS 0.1 350M GGUF</a>
+    <a href="https://huggingface.co/spaces/OuteAI/OuteTTS-0.1-350M-Demo" target="_blank" class="badge badge-hf-pink">🤗 Hugging Face - Demo</a>
+    <a href="https://github.com/edwko/OuteTTS" target="_blank" class="badge badge-github">GitHub - OuteTTS</a>
+  </div>
 </div>
 
-# OuteTTS-0.1-350M
-
 ## Model Description
 
 OuteTTS-0.1-350M is a novel text-to-speech synthesis model that leverages pure language modeling without external adapters or complex architectures, built upon the LLaMa architecture using our Oute3-350M-DEV base model, it demonstrates that high-quality speech synthesis is achievable through a straightforward approach using crafted prompts and audio tokens.
@@ -140,7 +169,8 @@ Listen to samples generated by OuteTTS-0.1-350M:
 </div>
 
 ## Installation
-https://github.com/edwko/OuteTTS
+
+[![GitHub](https://img.shields.io/badge/GitHub-OuteTTS-181717?logo=github)](https://github.com/edwko/OuteTTS)
 
 ```bash
 pip install outetts