Update title and description

main.py

@@ -332,18 +332,22 @@ for d in all_dirs:
 
 logger.info(f"Current working directory: {os.getcwd()}, listdir: {os.listdir('.')}")
 
+description = """
+<h2><center> <a href="https://mapitanywhere.github.io" target="_blank">Project Page</a> | <a href="https://github.com/MapItAnywhere/MapItAnywhere" target="_blank">Repository</a> \nUse our Data Engine to sample first-person view images and bird's-eye view semantic map pairs from locations worldwide. Simply pick a location to see the results! <center></h2>
+</h3><h3 align="center">Please note that the Huggingface demo runs much slower than running locally. If the curation takes longer than 1 minute, please restart the space (see the dropdown menu at the top-right of the page). For faster bulk downloads and more stringent filtering, visit our repository and follow the data engine instructions to run the data curation locally.</h3>
+"""
+
 demo = gr.Interface(
     fn=fetch,
     inputs=[gr.Text("Pittsburgh, PA, United States", label="Location (City, {Optional: State,} Country)"), 
             gr.Number(value=1, label="Number of Data Pairs to Generate (Max: 3)", minimum=1, maximum=3),
-            gr.Checkbox(value=False, label="Filter & Undistort (True in paper. Results in better robot position estimate, but slower.)"),
+            gr.Checkbox(value=False, label="Filter out images with high pose discrepancy (Enabled in paper. Results in better robot position estimate, but slower.)"),
             gr.Checkbox(value=False, label="Disable camera model filtering (Enabled in paper. Results in better quality labels, but slower.)"),
             gr.Slider(minimum=64, maximum=512, step=1, label="BEV Dimension", value=224),
             gr.Slider(minimum=0.1, maximum=2, label="Meters Per Pixel", value=0.5)],
     outputs=[gr.Image(label="Data Pair")],
     title="MapItAnywhere (MIA) Data Engine",
-     
-    description="Use our Data Engine to sample first-person view images and bird's-eye view semantic map pairs from locations around the globe. Simply pick a location to see the results! Please note the Huggingface demo is much slower than running locally. For faster bulk downloads and more stringent filtering, visit our repository and follow the instructions to run the data curation locally. If the curation takes longer than 1 minute, please restart the space (see dropdown menu at top-right of the page). "
+    description=description,
 )
 
 logger.info("Starting server")