Update app.py

app.py

@@ -80,7 +80,19 @@ with gr.Blocks(title="NuMarkdown-8B-Thinking", theme=gr.themes.Soft()) as demo:
     <div style="text-align: center; padding: 20px; background: linear-gradient(90deg, #667eea 0%, #764ba2 100%); border-radius: 10px; margin-bottom: 20px;">
         <h1 style="color: white; margin: 0; font-size: 2.5em; font-weight: bold;">👁️ NuMarkdown-8B-Thinking</h1>
         <p style="color: rgba(255,255,255,0.9); margin: 10px 0; font-size: 1.2em;">Upload an image to convert to Markdown!</p>
+        <div style="margin-top: 15px;">
+            <a href="https://nuextract.ai/" style="color: white; text-decoration: none; margin: 0 10px; font-weight: 500;">🖥️ API / Platform</a>
+            <span style="color: rgba(255,255,255,0.7);">|</span>
+            <a href="https://discord.gg/3tsEtJNCDe" style="color: white; text-decoration: none; margin: 0 10px; font-weight: 500;">🗣️ Discord</a>
+            <span style="color: rgba(255,255,255,0.7);">|</span>
+            <a href="https://github.com/numindai/NuMarkdown" style="color: white; text-decoration: none; margin: 0 10px; font-weight: 500;">🔗 GitHub</a>
+            <span style="color: rgba(255,255,255,0.7);">|</span>
+            <a href="https://huggingface.co/numind/NuMarkdown-8B-Thinking" style="color: white; text-decoration: none; margin: 0 10px; font-weight: 500;">🤗 Model</a>
+        </div>
     </div>
+
+    <p>NuMarkdown-8B-Thinking is the first reasoning OCR VLM. It is specifically trained to convert documents into clean Markdown files, well suited for RAG applications. It generates thinking tokens to figure out the layout of the document before generating the Markdown file. It is particularly good at understanding documents with weird layouts and complex tables.</p>
+    <p>NOTE: In this space we downsize large images and restrict the maximum output of the model, so performance could improve if you run the model yourself.</p>
     """)
 
     with gr.Row():