Update app.py

app.py

@@ -141,13 +141,13 @@ def predict(input_file):
     return html_content
 
 demo = gr.Interface(
-    title="Trimble AI 3D Point Cloud Segmentation",
+#    title="Trimble AI 3D Point Cloud Segmentation",
     fn=predict,
     inputs=gr.File(file_types=[".las"], file_count="single"),
     outputs=["html"],
     examples=["westminster.las"],
     cache_examples=False,
-    description="<img src=\"file/Trimble_AI_Logo_Blue.png\"><BR>This is a technology demonstration of Trimble AI's 3D Point Cloud Segmentation running on Trimble Cloud Core's Pegasus Processing Framework. The point cloud is uploaded on behalf of the user into Pegasus, then the result is offered as a downloadable link.",
+    description="<img src=\"file/Trimble_AI_Logo_Blue.png\" alt="Trimble AI Logo" class="center"><BR>This is a technology demonstration of Trimble AI's 3D Point Cloud Segmentation running on Trimble Cloud Core's Pegasus Processing Framework. The point cloud is uploaded on behalf of the user into Pegasus, then the result is offered as a downloadable link.",
 ).queue(concurrency_count=512, max_size=512)
 
 demo.launch()