change readme

app.py

@@ -403,12 +403,12 @@ if __name__ == "__main__":
 
         <h3>Getting Started:</h3>
         <ol>
-            <li><strong>Upload Your Image:</strong> Use the "Upload Images" panel to provide your input.</li>
+            <li><strong>Upload Your Image:</strong> Use the "Upload Images" panel to provide your input (computer's webcam supported).</li>
             <li><strong>Run:</strong> Click the "Run UniK3D" button to start the 3D estimation process.</li>
-            <li><strong>Visualize:</strong> The 3D reconstruction will appear in the viewer on the right. You can rotate, pan, and zoom to explore the model, and download the GLB file.</li>
+            <li><strong>Visualize:</strong> The 3D reconstruction will appear in the viewer on the right. You can rotate, pan, and zoom to explore the model. You can download the .ply file.</li>
             <li><strong>Downstream:</strong> The 3D output can be used as reconstruction or for monocular camera calibration.</li>
         </ol>
-        <p><strong style="color: #ff7e26;">PLEASE NOTE:</strong> <span style="color: #ff7e26; font-weight: bold;">UniK3D currently runs on CPU here on HuggingFace. Actual inference is less than 100ms second per image on consumer-level GPUs. However, while running on HuggingFace Space's CPU, it will take between 10 seconds and 3 minutes, depending on the "Utilized Model" and "Speed-Resolution Tradeoff" chosen, please wait. For faster visualization, use a local machine to run our demo from our <a href="https://github.com/lpiccinelli-eth/UniK3D">GitHub repository</a>. </span></p>
+        <p><strong style="color: #ff7e26;">PLEASE NOTE:</strong> <span style="color: #ff7e26; font-weight: bold;">UniK3D currently runs on ZeroGPU thanks to HuggingFace community Grant. Actual inference is less than 100ms second per image on consumer-level GPUs. However, while running on HuggingFace Space's, it will take around 10 seconds, due to model loading for each inference. For faster visualization, use a local machine to run our demo from our <a href="https://github.com/lpiccinelli-eth/UniK3D">GitHub repository</a>. For equirectangular images, please use the Equirectuangular camera type and provide and approximate horizontal FoV for better results. </span></p>
         </div>
         """
         )
@@ -442,7 +442,7 @@ if __name__ == "__main__":
                 cx = gr.Number(label="Center projection x", value=320.0, visible=False)
                 cy = gr.Number(label="Center projection y", value=240.0, visible=False)
                 hfov = gr.Number(
-                    label="Horizontal FoV (degree)", value=0.0, visible=False
+                    label="Horizontal FoV (degree)", value=360.0, visible=False
                 )
 
             with gr.Column():